MicrogridControlSystem
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微格分析报告1. 引言微格(Microgrid)是一种小规模的独立电力系统,由分布式能源资源、储能设备和能量管理系统组成。
相比于传统的大型电网,微格可以更加灵活地应对能源需求和应急情况,提供更可靠、经济和可持续的电力资源。
本文旨在对微格系统进行详细的分析,包括其概念、特点、应用场景等方面,以便更好地理解和应用微格技术。
2. 微格概述微格系统是一种独立运行的小型电力系统,通常包括多种能源资源,如太阳能、风能、燃料电池等,以及能量存储设备,如蓄电池、超级电容器等。
微格系统可以独立运行,也可以与主电网进行互联,达到能源的共享和优化利用。
3. 微格特点微格系统具有以下几个显著的特点:3.1 独立运行微格系统可以独立运行,不依赖于主电网的供电。
这使得微格系统可以应对突发情况,如自然灾害、电网故障等,提供可靠的电力支持。
3.2 多能源混合微格系统可以利用多种能源资源进行发电,如太阳能、风能、生物能等。
通过对能源的优化配置和管理,微格系统可以提供持续稳定的电力供应。
3.3 能量存储微格系统通常配备能量存储设备,如蓄电池、超级电容器等。
这些能量存储设备可以储存过剩的能量,以便在需求高峰时释放,实现能源的平衡和优化利用。
3.4 可再生能源的利用微格系统广泛应用可再生能源,如太阳能、风能等,减少对传统燃煤、石油等能源的依赖,实现对环境的友好和可持续发展。
3.5 灵活性和可扩展性微格系统具有较强的灵活性和可扩展性,可以根据用户需求进行自由配置和扩展。
用户可以根据自身情况选择合适的能源资源和能量存储设备,满足不同的电力需求。
4. 微格应用场景微格系统在以下几个应用场景中具有较大的潜力和优势:4.1 偏远地区电力供应在一些偏远地区,传统电网的供电不稳定,微格系统可以提供可靠的电力支持,满足居民和企业的基本用电需求。
4.2 灾难应急响应在自然灾害等紧急情况下,传统电网可能受到破坏,微格系统可以在短时间内建立起独立的电力供应,为救援和灾民提供必要的电力支持。
Operation and Control of Microgrid System Integration and Hierarchical Power Management Strategy for a Solid-State TransformerInterfaced Microgrid SystemSchool of Electrical EngineeringElectrical EngineeringContents1 Detail Abstract (1)2 Core techniques of the paper (1)2.1 Hardware integration of SST and dc microgrid (1)2.2 Hierarchical power management strategy (3)3 Potential problems and my opinion on future work (5)1 Detail AbstractThe existing dc microgrid can only interface with the distribution system by using a heavy and bulky line frequency transformer plus rectifier, and the passive transformer cannot provide functions such as Var compensation or harmonic filtering. Therefore, developing a more compact and active grid interface to enable a more intelligent dc microgrid system is a research focus.Under the situation, this paper investigates, and for the first time presents, the system integration of a novel solid-state transformer (SST) interfaced microgrid system. Accordingly, a hierarchical power management strategy is proposed for this system to enable islanding mode operation, SST enabled operation, and the seamless transfer between two modes.To begin with, the paper review the past achievements in the microgrid field and introduce the different types of microgrid from the architecture and the power management point of view. Then the author presents the detailed structure of the proposed system, as is shown in Fig. 1.Fig 1. SST-enabled dc microgrid diagram.Furthermore, the researcher depicts the hierarchical control frame and analyzes the hierarchical control for dc microgrid in islanding mode and SST-enabled mode. The hierarchical power management strategy includes three control levels: primary control for the local controller; secondary control for the dc microgrid bus voltage recovery; and tertiary control to manage the battery state of charge.Finally, a lab test bed is constructed to verify the system performance, and several typical case studies are carried out. The experimental results verify the proposed system and distributed power management strategy.Keywords: DC microgrid, hierarchical power management, islanding mode, solid-state transformer (SST)-enabled mode.2 Core techniques of the paper2.1 Hardware integration of SST and dc microgridAs previously mentioned, the conventional transformer interfaced with the dc microgrid is heavy and bulky, which takes too much space. The core technique of thispaper is, for the first time, presenting the hardware integration of SST and dc microgrid to demonstrate the feasibility of this novel concept. Compared to the conventional microgrid architecture, the presented microgrid system interfaces with the distribution system by an active grid interface with smaller size and less weight. The SST interfaced microgrid is, therefore, a more compact system.The SST is a power electronic device that replaces the traditional 50/60 Hz power transformer by means of high-frequency transformer isolated ac–ac conversion technique, and its topology is represented in Fig. 2, where a cascaded seven level rectifier is adopted as the font-end. Three dual active bridge (DAB) converters are connected to the floating dc links of the rectifier with the secondary side connected in parallelFig. 2. Topology of presented SST.The basic operation of the SST is first to change the 50/60 Hz ac voltage to a high-frequency voltage, then this high-frequency voltage is stepped up or down by a high frequency transformer, and finally shaped back into the desired 50/60 Hz voltage to feed the load. For a high-frequency transformer has significantly decreased volume and weight, the first advantage that the SST may offer is reduced volume and weight compared with traditional transformers. A laboratory prototype of a single-phase, three-stage SST was built, as shown in Fig. 3.Fig.3. Cascaded type three-stage SST prototype.It is further seen from the topology and the configuration of the SST that some other potential functionalities that are not available to traditional transformer may be obtained. A functional diagram of SST is illustrated in Fig. 4. The SST acts as a smart plug-and play interface for transforming and distributing electric energy from these various different subsystems, some via the ac port and others via the dc port. The use of SST separates the grid side parameters (voltage, frequency) from the DRER (Distributed renewable electric resource) and DESD (Distributed energy storage device) side. This is a very important capability of the proposed system that strengthens the system stability because the low-voltage side is strongly decoupled from the grid side by the SST.Fig. 4. Solid state transformer functional configuration.2.2 Hierarchical power management strategyFrom the power management point of view, the presented microgrid system need to ensure proper and optimal operation under different conditions. Some major challenges for SST-enabled dc microgrid include:1) how to make the dc microgrid more reliable in islanding mode;2) how to achieve seamless transfer between islanding mode andSST-enabled mode for the dc microgrid;3) how to manage individual modules in the dc microgrid considering thecharacter differences when system is in SST-enabled mode.To address these challenges, another core technique of this paper is a corresponding hierarchical power management strategy, which combines the advantages of centralized control and distributed control.Its basic structure is shown in Fig. 5.Fig 5. Hierarchical control frame.The primary control is the distributed control which ensures that the microgrid system can operate without communication. Therefore, the primary control usually takes effect at the microsecond level, which is basically the same level as the converter control. All the local information, including the voltage, current, SOC (State of charge), etc., are sent to the upper controller, which implements the tertiary control and secondary control through a bidirectional communication link. Here, the dc microgrid is enabled by the SST, and therefore the SST controller is used as the upper controller. The objective of secondary control is to recovery the microgrid bus voltage to achieve seamless transfer as the system switches from islanding mode to SST-enabled mode. The time scale for the secondary control is on the order of milliseconds to seconds. The objective of tertiary control is to ensure that battery operates in a reliable SOC range. Thus, the tertiary control is used to charge and discharge the battery in the dc microgrid based on battery’s SOC instead of controlling the point of common coupling power flow. Detailed structure of the hierarchical control strategy is depicted in Fig. 6.Fig. 6. DC microgrid operation diagram.In summary, the proposed SST-enabled dc microgrid can:1)interface with distribution system via SST;2)operate in islanding mode with distributed control;3)seamlessly transfer between islanding mode and SST enabled mode;4)enable battery management in SST-enabled mode.3 Potential problems and my opinion on future workAs is shown in Fig. 6, the SOC monitoring is implemented in the tertiary control, in which battery management is achieved by suitable charging and discharging, but the monitoring method and its hardware design are not mentioned in this paper.In my opinion, accurate monitoring of the energy storage system performance is the fundamental basis to achieve the hierarchical control. However, the current monitoring technology is still not mature enough, of which SOC cannot be directly measured. A pressing matter of the moment, therefore, is to establish an accurate estimation model of the SOC monitoring.In addition, the experimental results in this paper only demonstrate the feasibility of the SST interfaced microgrid system in island operation. But when it is parallel with Power Grid, the power electronic devices of SST may be so sensitive (usually take effects at the microsecond level) that the traditional grid devices as circuit breaker and isolating switch can’t respond synchronously. This may impact the stability of Power System.My opinion is to solve the problem from the following aspects:1) Taking the interaction between the SST and the distributed system intoconsideration to guide the design of the proposed microgrid system;2) Constructing the architecture of multi-layer-cross distributed renewable energymanagement based on the advantages of agent technology;3) Using artificial intelligence technology to control several nodes in themicrogrid and cooperatively;4) Connecting more PV and battery modules to the dc bus to verify the robustoperation of the system.[文档可能无法思考全面,请浏览后下载,另外祝您生活愉快,工作顺利,万事如意!]。
mcu最小化系统的基本原理MCU英文全称是Microcontroller Unit,是指微控制单元又称单片微型计算机或者单片机,其实MCU就是单片机。
MCU其实也可以理解为简单版本的CPU,就是把中央处理器的频率与规格做适当缩减,并将内存、计数器、USB、A/D转换、UART、PLC、DMA等周边接口,甚至LCD驱动电路都整合在单一芯片上,形成芯片级的计算机,为不同的应用场合做不同组合控制。
MCU(单片机)的体积比较小,结构也较为简单,但是功能十分完善,不仅用起来方便,模块化应用也很到位,所以有人将MCU称为单片微型计算机,是因为它具备基本的处理器、储存器,最主要的是还是因为它能写一些简单的控制程序。
MCU同温度传感器之间通过I2C 总线连接。
I2C总线占用2条MCU输入输出口线,二者之间的通信完全依靠软件完成。
温度传感器的地址可以通过2根地址引脚设定,这使得一根I2C总线上可以同时连接8个这样的传感器。
本方案中,传感器的7位地址已经设定为1001000。
MCU需要访问传感器时,先要发出一个8位的寄存器指针,然后再发出传感器的地址(7位地址,低位是WR信号)。
传感器中有3个寄存器可供MCU使用,8位寄存器指针就是用来确定MCU究竟要使用哪个寄存器的。
本方案中,主程序会不断更新传感器的配置寄存器,这会使传感器工作于单步模式,每更新一次就会测量一次温度。
MCU读取传感器的测量值后,接下来就要进行换算并将结果显示在LCD上。
整个处理过程包括:判断显示结果的正负号,进行二进制码到BCD 码的转换,将数据传到LCD的相关寄存器中。
数据处理完毕并显示结果之后,MCU会向传感器发出一个单步指令。
单步指令会让传感器启动一次温度测试,然后自动进入等待模式,直到模数转换完毕。
MCU发出单步指令后,就进入LPM3模式,这时MCU系统时钟继续工作,产生定时中断唤醒CPU。
定时的长短可以通过编程调整,以便适应具体应用的需要。
一文解析微流控技术原理及起源展开全文微流控技术的起源微型化、集成化和智能化,是现代科技发展的一个重要趋势。
伴随着微机电加工系统( MEMS )技术的发展,电子计算机已由当年的”庞然大物”演变成由一个个微小的电路集成芯片组成的便携系统,甚至是一部微型的智能手机。
MEMS技术全称Micro Electromechanical System , MEMS设想是由诺贝尔物理学奖获得者Richard Feynman教授于1959年提出,其基本概念是用半导体技术,将现实生活中的机械系统微型化,形成微型电子机械系统,简称微机电系统。
1962年全球第一款微型压力传感器面世,这一创新产品后来被应用于汽车安全(轮胎压力检测)和医疗(有创血压计),开启了MEMS时代。
今天MEMS技术在军事、航天航空,生物医药、工业交通及消费领域扮演核心技术的角色,智能手机中就嵌入了多个MEMS 芯片,如麦克风,加速度计,GPS定位等。
微流控技术原理微流控(microfluidics )是一种精确控制和操控微尺度流体,以在微纳米尺度空间中对流体进行操控为主要特征的科学技术,具有将生物、化学等实验室的基本功能诸如样品制备、反应、分离和检测等缩微到一个几平方厘米芯片上的能力,其基本特征和最大优势是多种单元技术在整体可控的微小平台上灵活组合、规模集成。
是一个涉及了工程学、物理学、化学、微加工和生物工程等领域的交叉学科。
微流控是系统的科学技术,它使用几十到几百微米尺度的管道,处理或操控很少量的(10*至10~18升,1立方毫米至1立方微米)流体。
最初的微流控技术被用于分析。
微流控为分析提供了许多有用的功能:使用非常少的样本和试剂做出高精度和高敏感度的分离和检测,费用低,分析时间短,分析设备的印记小。
微流控既利用了它最明显的特征一一尺寸小,也利用了不太明显的微通道流体的特点,比如层流。
它本质上提供了在空间和时间上集中控制分子的能力。
基于微流控芯片的代表性关键技术1、微流控分析芯片是新一代床旁诊断(Point of care testing,POCT )主流技术,可直接在被检对象身边提供快捷有效的生化指标,使现场检测、诊断、治疗成为一个连续的过程;2、微流控反应芯片以液滴为代表,是迄今为止最重要的微反应器,在高通量药物筛选,单细胞测序等领域显示了巨大的威力;3、微流控细胞/器官操控芯片是哺乳动物细胞及其微环境操控最重要技术平台,渴望部分代替小白鼠等动物模型,用于验证候选药物,开展药物毒理和药理作用研究。
An Adaptive Control System for a DC Microgridfor Data CentersDaniel Salomonsson,Student Member,IEEE,Lennart Söder,Member,IEEE,and Ambra Sannino,Member,IEEEAbstract—In this paper,an adaptive control system for a dc microgrid for data centers is proposed.Data centers call for electric power with high availability,and a possibility to reduce the electric losses and,consequently,the need for cooling.High reliability can be achieved by using local energy sources,and by using a dc power system,the number of conversion steps,and therefore also the losses,can be reduced.The dc microgrid can also supply closely located sensitive ac loads during outages in the ac grid.The proposed dc microgrid can be operated in eight different operation modes described here,resulting in23transi-tions.The control system coordinates the operation of converters, sources,and switches used in the dc microgrid.The control system is tested in the simulation software package PSCAD/EMTDC,and the results of the most interesting transitions are presented.The results show that it is possible to use the proposed dc microgrid to supply sensitive electronic loads and also,during ac-grid outages, supply closely located sensitive ac loads.To reduce the current transients experienced by grid-connected ac/dc converters,fast grid-outage detection and fast switches are required.Index Terms—Adaptive control,circuit transient analysis, computer facilities,dc power systems,power conversion,power distribution control,power distribution faults,power electronics.I.I NTRODUCTIONS ENSITIVE commercial consumers need power supply which is not affected by grid faults and outages.One possibility to ensure reliable power supply is to install local generation[1]–[3].Using local generation,together with fast and accurate protection systems,can prevent disturbances to affect sensitive loads.When a fault occurs,an isolated grid with sources and loads is created.This microgrid is designed to operate autonomously in island mode.However,in normal operation,the microgrid is connected to an ac grid.Depending on its load and generation balance,the microgrid can either consume or produce electric power.In most cases,a microgrid is equipped with some form of energy storage to improve the load leveling capability[4]–[6].The interest for such systems has increased in the past few years.The sources in a microgrid are usually small(<500kW) and often use renewable energy.Example of such sources arePaper ICPSD-07-37,presented at the2007Industry Applications Society Annual Meeting,New Orleans,LA,September23–27,and approved for publication in the IEEE T RANSACTIONS ON I NDUSTRY A PPLICATIONS by the Power Systems Engineering Committee of the IEEE Industry Applications Society.Manuscript submitted for review October27,2008and released for publication March18,2008.Current version published November19,2008. D.Salomonsson and L.Söder are with the Electric Power Systems Labo-ratory,Royal Institute of Technology,10044Stockholm,Sweden(e-mail: daniel.salomonsson@ee.kth.se;lennart.soder@ee.kth.se).A.Sannino is with the Power Technologies Division,ABB Corporate Re-search,72178Västerås,Sweden(e-mail:ambra.sannino@).Digital Object Identifier10.1109/TIA.2008.2006398microturbines,fuel cells,photovoltaic,hydro plants,and wind power.Batteries,supercapacitors,andflywheels can be used as energy storage.These types of sources and energy storage devices produce either dc voltage or ac voltage with different amplitude and frequency than the grid,and therefore need a power electronic converter to interface with the grid[7].The sources in a microgrid are operated to produce a certain amount of active and reactive power when the microgrid is connected to the ac grid.However,when the microgrid is operated in island mode,the sources must be able to perform voltage and frequency regulation.Different operation strategies of the sources have been studied in[8]and[9].Using controllers with droop characteristics ensures load shedding,and voltage and frequency stability.Experimental results of a laboratory microgrid setup are presented in[10].Data centers provide management for various types of server applications,such as for web hosting,Internet,intranet,and telecommunication.As the development progresses,the size of servers is becoming smaller simultaneously as their capacity increases[11].This leads to an increase of power density in data centers.Each server produces heat due to losses and must be cooled to prevent it from malfunctioning.Operation of such cooling equipment also requires electric power.The large power consumption of data centers,together with a high price of electricity,results in high cost for owners of data centers[12].One possibility to reduce the cost is to reduce the losses in the system and,hence,the need for cooling.One way for data centers to combine the need for high reliability and the possibility to reduce the losses is to use a dc microgrid.Low-voltage(LV)dc can be superior to use compared with LV ac for commercial power systems with sensitive electronic loads[13],[14].The reason is that sources, energy storage devices,and loads in an ac microgrid are con-nected through power electronic interfaces:dc/ac converters and ac/dc/ac converters.By using a dc microgrid,one conver-sion step can be eliminated,and energy storage devices can be directly connected.A few research works have been published about is-sues regarding dc microgrids[15]–[18].V oltage control in a dc microgrid with multiple sources has been treated in[17]. In[18],different operation situations,particularly the transition between interconnected mode and independent mode,have been studied.However,the transition,which is critical to sensi-tive loads,is highly simplified.In this paper,the design of an adaptive control system for a dc microgrid for data centers is proposed.The dc microgrid supplies during normal operation only sensitive dc loads but has the capability to supply closely located sensitive ac loads,0093-9994/$25.00©2008IEEEFig.1.Data center power system.which normally are supplied from the ac grid,during outages. One advantage with the dc microgrid is that only two converters are used,compared with six in[18],resulting in lower cost and losses.The dc microgrid has different operation modes which,together with the corresponding transitions between different modes,are defined and described.The performance of the control system is verified by simulations in the software package PSCAD/EMTDC.II.D ATA C ENTER P OWER S YSTEMFig.1shows a typical scheme of a data center power sys-tem with sensitive computer loads[together with their inter-nal switch-mode power supplies(SMPSs)with power factor correction(PFC)]and heat,ventilation,and air-conditioning (HV AC)equipment[19],[20].The power system has a con-nection to the ac grid,which normally supplies the loads.If an outage occurs in the ac grid,the loads can be supplied from a standby diesel generator.During the time it takes to detect the outage,disconnect the ac grid,and start the diesel generator,the sensitive loads are supplied from an ac UPS.The function of a UPS is to maintain the load voltage within a specified range during a limited time,i.e.,to protect the load from grid disturbances.During these disturbances,the UPS will supply the load with power from its energy storage,which usually consists of lead-acid batteries[20].Other forms of energy storage,e.g.,flywheels,can also be used.The size of the energy storage determines for how long the UPS can support the load.To increase the availability of the UPS system,several UPSs can be installed in parallel.The electric power is converted at least four times on its way from the ac grid to the sensitive load,and by reducing the number of conversion steps,the losses,and thereby the need for cooling,can be lowered.One way to reduce thenumber Fig.2.Data center power system with dc distribution system.of conversion steps is to use a dc power system[21].The rectification is then moved from the distributed SMPS with PFC to a main ac/dc converter[22].This rearrangement will not result in any additional losses if the main ac/dc converter is assumed to have at least the same efficiency as the distributed SMPS with PFC inside the computer loads[23].On the other hand,the losses inside the ac UPS are eliminated.Operating a data center power system as a dc system requires some modifications.The ac grid and the standby generator, which are both ac sources,must be connected to the power system through ac/dc converters.The energy storage,in most cases lead-acid batteries,can be directly connected to the power system.A dc power system for a data center can be configured in different ways.In this paper,two different alternatives are proposed.One possibility is to have the ac grid and the standby generator connected to the dc power system through individual ac/dc converters,as shown in Fig.2(a).Another way is to have the ac grid and the standby generator connected to a common ac bus which,in turn,is connected to the dc power system through an ac/dc converter,as shown in Fig.2(b).In this paper, (a)will be used since it gives the possibility to control the powerflow from the diesel generator,and there is no need to synchronize the diesel generator with the ac grid.Configuration (b)is better with respect to power losses if the dc microgrid will be used to export power most of the time.Furthermore,in(b), there is a need for one converter only.The size of this converter can be smaller compared with the one in(a)since the HV AC equipment is connected to the ac bus.III.O PERATION M ODES OF DC M ICROGRIDFOR D ATA C ENTERSFig.3shows a scheme of the proposed dc microgrid con-nected to the ac grid.The dc microgrid is indicated as Zone1. Zone2is prioritized ac loads which are located in the close vicinity of the dc microgrid(for example,cooling equipment and/or an office building),andfinally,Zone3is the ac grid and the loads connected to it.A.Definition of Operation ModesThe dc microgrid has the following three independent sources:the ac grid;the energy storage(emergency power);andFig.3.DC microgrid for data centers.TABLE IP OSSIBLE O PERATION M ODES OF THE DC M ICROGRIDFig.4.Operation modes and transitions of the dc microgrid.TABLE IIT RANSITIONS AND THE C ORRESPONDING E VENTSFOR THE DC M ICROGRIDTABLE IVA DAPTIVE C ONTROL S YSTEM:T RANSITIONSB ETWEEN D IFFERENT O PERATION M ODESTABLE VM AXIMUM T RANSIENT C URRENT D URING T RANSITION1W ITHD IFFERENT D ETECTION T IMES AND F ILTER S IZESR EFERENCES[1]IEEE Recommended Practice for the Design of Reliable Industrial andCommercial Power Systems,IEEE Std.493-1997.[2]IEEE Standard for Interconnecting Distributed Resources with ElectricPower Systems,IEEE Std.1547-2003.[3]IEEE Recommended Practice for Emergency and Standby Power Systemsfor Industrial and Commercial Applications,IEEE Std.446-1995. [4]sseter,“Microgrids,”in Proc.IEEE Power Eng.Soc.Winter Meeting,New York,Jan.27–31,2002,vol.1,pp.305–308.[5]C.Marnay,F.Robio,and A.Siddiqui,“Shape of the microgrid,”in Proc.IEEE Power Eng.Soc.Winter Meeting,Columbus,OH,Jan.28–Feb.1, 2001,vol.1,pp.150–153.[6]G.Venkataramanan and M.Illindala,“Microgrids and sensitive loads,”in Proc.IEEE Power Eng.Soc.Winter Meeting,New York,Jan.27–31, 2002,vol.1,pp.315–322.[7]P.Piagi and sseter,“Autonomous control of microgrids,”in Proc.IEEE Power Eng.Soc.Gen.Meeting,Montreal,QC,Canada,Jun.18–22, 2006,vol.1,pp.305–308.[8]F.Katiraei,M.Iravani,and P.Lehn,“Micro-grid autonomous operationduring and subsequent to islanding process,”IEEE Trans.Power Del., vol.20,no.1,pp.248–257,Jan.2005.[9]J.P.Lopes,C.Moreira,and A.Madureira,“Defining control strategies formicrogrids islanded operation,”IEEE Trans.Power Syst.,vol.21,no.2, pp.916–924,May2006.[10]D.Georgakis,S.Papathanassiou,N.Hatziargyriou, A.Engler,andC.Hardt,“Operation of a prototype microgrid system based on micro-sources quipped with fast-acting power electronics interfaces,”in Proc.IEEE PESC,Achen,Germany,Jun.20–25,2004,vol.4,pp.2521–2526.[11]J.Wright,“Blades have the edge,”IEEE Spectr.,vol.42,no.4,pp.24–29,Apr.2005.[12]E.Brown,R.Elliott,and A.Shipley,Overview of Data Centersand Their Implications for Energy Demand.Washington,DC:Amer.Council Energy-Efficient Economy,Sep.2001.White paper.[13]A.Sannino,G.Postiglione,and M.Bollen,“Feasibility of a dc networkfor commercial facilities,”IEEE Trans.Ind.Appl.,vol.39,no.5, pp.1499–1507,Sep./Oct.2003.[14]D.Salomonsson and A.Sannino,“Low-voltage dc distribution system forcommercial power systems with sensitive electronic loads,”IEEE Trans.Power Del.,vol.22,no.3,pp.1620–1627,Jul.2007.[15]L.Po-Wa,L.Yim-Zhu,and L.Bo-Tao,“Power distribution systems forfuture homes,”in Proc.IEEE PEDS,Hong Kong,Jul.27–29,1999,vol.2, pp.1140–1146.[16]T.Cheung,K.Cheng,D.Sutanto,Y.Lee,and Y.Ho,“Application ofask modulation for DC/DC converters control in DC distribution power system,”in Proc.1st Int.Conf.Power Electron.Syst.Appl.,Hong Kong, Nov.9–11,2004,pp.268–272.[17]Y.Ito,Y.Zhongqing,and H.Akagi,“DC microgrid based distributionpower generation system,”in Proc.IPEMC,Xi’an,China,Aug.14–16, 2004,vol.3,pp.1740–1745.[18]H.Kakigano,Y.Miura,T.Ise,and R.Uchida,“DC micro-grid for superhigh quality distribution—System configuration and control of distrib-uted generations and energy storage devices,”in Proc.IEEE PESC,Jeju, Korea,Jun.18–22,2006,pp.3148–3154.[19]M.Grossoni,R.Huempfner,E.Cevenini,J.Profeta,and C.Bertolini,“Internet data centres(IDC):Design considerations for mission critical power system performance,”in Proc.IEEE INTELEC,Edinburgh,U.K., Oct.14–18,2001,pp.353–360.[20]W.Tschudi,T.Xu,and D.Sartor,High-Performance Data Centers:A Research Roadmap.Berkeley,CA:Lawrence Berkeley b.,2004.[Online].Available:/[21]DC Power for Data Centers of the Future,Lawrence Berkeley Nat.Lab.,Berkeley,CA,2006.[Online].Available:/ dc-powering/[22]S.Basu and M.Bollen,“A novel common power factor correctionscheme for homes and offices,”IEEE Trans.Power Del.,vol.20,no.3, pp.2257–2263,Jul.2005.[23]M.Ton and B.Fortenbury,“High performance buildings:Datacenters—Server power supplies,”Ecos Consulting,EPRI Solutions Inc., Palo Alto,CA,Tech.Rep.,Dec.2005.[24]D.Salomonsson and A.Sannino,“Centralized ac/dc power conversion forelectronic loads in a low-voltage dc power system,”in Proc.IEEE PESC, Jeju,Korea,Jun.18–22,2006,pp.3155–3161.Daniel Salomonsson(S’02)received the M.Sc.andTech.Lic.degrees in electrical engineering fromChalmers University of Technology,Gothenburg,Sweden,in2002and2005,respectively.He iscurrently working toward the Ph.D.degree in theElectric Power Systems Laboratory,Royal Instituteof Technology,Stockholm,Sweden.His research project concerns dc distribution sys-tems.His research interests include dc distributionsystems,power electronics,and powerquality.Lennart Söder(M’91)was born in Solna,Sweden,in1956.He received the M.Sc.and Ph.D.degreesin electrical engineering from the Royal Instituteof Technology(KTH),Stockholm,Sweden,in1982and1988,respectively.He is currently a Professor with the Electric PowerSystems Laboratory,KTH.He works with projectsconcerning deregulated electricity markets,distribu-tion systems and integration of wind power,HVDC,power system reliability,protections systems,hydro-power,and microgrids.He has been involved in several national committees concerning risk of capacity deficit and handling of bottlenecks within the deregulatedmarket.Ambra Sannino(S’99–M’01)received the M.Sc.and Ph.D.degrees in electrical engineering from theUniversity of Palermo,Palermo,Italy,in1997and2001,respectively.From2001to2004,she was an Assistant Professorwith the Department of Electric Power Engineeringof Chalmers University of Technology,and an Asso-ciate Professor since2004.She has been with ABB,Corporate Research,Västerås,Sweden,since2004.。
microcontroller用法Microcontroller用法简介Microcontroller(微控制器)是一种包含中央处理器、存储器和输入/输出设备的集成电路,常用于嵌入式系统中。
它具有小型尺寸、低功耗和高度集成的特点,可广泛应用于各种领域。
1. 电子设备控制Microcontroller可用于控制各种电子设备,如智能家居、工业自动化和机器人等。
通过使用相应的编程语言(如C语言),可以编写控制程序,实现对设备的精确控制。
2. 嵌入式系统开发Microcontroller是嵌入式系统开发的核心元件。
它可以作为主控芯片,与其他硬件模块(如传感器、执行器)相连接,实现各种功能。
通过编写嵌入式软件,可以控制和管理系统的各个组件。
Sensing and Measurement (传感与测量)Microcontroller可以与各种传感器相结合,实现对环境参数的感知和测量。
例如,可通过连接温度传感器实时获取环境温度,并进行温度控制。
Data Logging (数据记录)Microcontroller可以通过连接存储器模块,记录环境参数或系统状态的数据。
这些数据可以用于后续分析、故障排除或优化系统性能。
Real-time Control (实时控制)Microcontroller具有高速计算和快速响应的能力,可用于实时控制要求较高的系统。
例如,在机器人控制中,可使用Microcontroller实时感知环境并响应外部事件。
3. 通信与网络Microcontroller可以实现与其他设备或网络的通信,以实现数据传输和远程控制。
通过与传感器、执行器或计算机等相连接,可以通过UART、SPI、I2C等接口与其他设备进行数据交互。
Wireless Communication (无线通信)Microcontroller支持无线通信技术,如Wi-Fi、蓝牙和LoRa等,可以实现设备之间的远程通信。
这样可以将传感器数据传输到云端,并实现远程控制与监控。
GEDigital Energy gimagination at work Generation Optimization • Provides substantial reduction in fuel costs by intelligent management of generating assets • Maximizes the use of renewable generation by leveraging the available energy storage system Holistic Energy System • Integrates electrical and thermal energy assets such as CHP and boilers• Maximizes overall system optimization and minimizes the total energy costs Improved Return onInvestment• Enables integration of existing power system assets to the new infrastructure for an improved asset utilization• Further reduces distribution system losses through the integration of Volt/VAR controlsReliable Power• Maintains uninterruptible power supply for mission critical infrastructure with ability to operate in ‘islanded’ mode• Manages turn on/off operation of low priority controllable loads in case of generation deficit situation within the “islanded” microgridsMicrogrid Visualization• Empowers local microgrid system operators to make informed decisions by providing system visualization• Provides a man-machine interface to configure and monitor the microgrid system for automatic dispatch of DERsGrid IQ™ Microgrid Control SystemOptimization Solution for Permanently Islanded or Grid-Connected MicrogridsThe Grid IQ Microgrid Control System (MCS) enables distribution grid operators to integrate and optimize energy assets with an objective to reduce the overall energy cost for a local distribution grid, also known as a “microgrid”.The MCS is based on a supervisory control architecture provided by the Multilin™ U90Plus Generation Optimizer, Intelligent Electronic Devices (IEDs), substation gateways, a Human Machine Interface (HMI) and a secure communications network.The MCS provides a simple yet effective solution to integrate fossil fuel based (dispatchable) Distributed Energy Resources (DERs), renewable (non-dispatchable) DERs and energy storage to best optimize the operation of a local microgrid with a goal to minimize the total cost of operation, including Cost of Energy (CoE).Key Benefits• Enables integration of renewable energy resources such as wind turbines or solar PV with conventional fossil based generators• Optimizes the dispatch of distributed energy system resources to reduce the total cost of energy and cost of operating a microgrid system• Maintains a secure and reliable power supply for mission critical loads with ability to operate in ‘islanded’ mode• Enables integration with Volt/VAR controls for a better utilization of existing or new distribution system assets to further reduce system losses and increase overall system efficiency• Maximizes the use of renewable assets for reduced GHG emissions and environmental impact Application Specific Solutions• Off-the-grid remote communities: Opportunities to optimize operation of diesel generators and integration with renewable energy resources• Military bases: Provides reliable power for critical loads at military bases in case of an unwanted interruption of power from the main grid• Mining communities: Opportunities to best utilize the available energy resources and help reduce diesel consumption for community energy needs™What is a MicrogridA microgrid is an integrated energy system with local Distributed Energy Resources (DERs) such as local loads, generating assets and possibly energy storage devices such as batteries or fuel-cells. A microgrid system is typically capable of operating in “islanded” (off-the grid) or grid-connected mode. Based on the grid connection "status" of a microgrid, it can be categorized as:Permanently Islanded MicrogridPermanently Islanded microgrid networks are stand alone networks that must produce all of the generation locally that will be consumed by the loads in the network. Islanded microgrid networks are quite often found in remote, northern or island communities where the high cost of importing fuel and the availability of renewable resources (wind, hydro) can make optimization of generation resources very desirable.Grid-Tied MicrogridGrid-tied microgrid networks are able to produce power within its distribution networks as well as import power from a utility source. University campuses and military facilities that have on-site generation for backup power can utilize their on-site generation to offset the costs of electricity when it is cheaper to produce electricity than to buy it.MCS ComponentsThe MCS is based on a supervisory control architecture provided by Multilin U90Plus Generation Optimizer.The core function of the U90Plus Generation Optimizer is its ability to monitor, track, and forecast load and generation resources within the microgrid. In order to facilitate this, the U90Plus is required to communicate with intelligent controllers distributed at key points across the microgrid.U90Plus Generation OptimizerThe U90Plus Generation Optimizer is the central engine of an advanced microgrid control solution that provides management of DERs for the most economical power. A detailed functionality description of the U90Pluscontroller is provided in following sections.Typical Microgrid Control System Architecture and Optimization SequenceThe U90Plus is the central supervisory controller of a microgrid control system that maximizes the use of the renewable DERs and provides set points for various energy resources to provide power for the load demand in the most economical method possible.Grid IQ’s MCS is a system solution offering with the U90Plus Generation Optimizer as “heart” of the control system, surrounded by intelligentcontrollers, communications and other power system devices.Communications NetworkThe U90Plus is able to measure load requirements and generation capacity at various locations across the microgrid network. As these load and generation centers are spread out geographically, a reliable and robust communications network is provided in order for the U90Plus to monitor and control various assets with in the spreadout power system network. Where economical to do so, an Ethernet network can be deployed at each critical measurement point. When the microgrid spans long distances or laying fiber optic cables is uneconomical, a secure, industrial wireless network can be deployed. The U90Plus minimizes the amount of information needed to be transmitted over the communications network by optimizing the data requirements at each load or generation location.Intelligent Local ControllersEach generating source and energy storage unit is monitored, and receives commands from the U90Plus by an intelligent controller located locally at DER locations. These controllers perform the real time measurements of the load or generating units and communicate back to the U90Plus. These controllers also receive the commands from the U90Plus to initiate the turning on or off of the dispatchable generators.These intelligent controllers are required to support the Modbus TCP/IP protocols and have the appropriate control capability to interact with the generator or storage unit control systems. Multilin’s Universal Relay family is an ideal solution as it contains the necessary control and protection functions to protect the assets at the same time.Integration and Configuration ServicesThe MCS offering includes microgrid system feasibility studies, engineering, system design and modeling, U90Plus Generation Optimizer configuration, first level system integration services, system commissioning support and training. GE has a team of subject matter experts to help develop and build a microgrid project.Grid IQ MCS FeaturesThe MCS provides a multitude of functionalities for permanently islanded (off-the-grid) and grid-connected microgrid systems.Lowers Cost of Producing powerThrough its ability to monitor and trend key load, the U90Plus is able to predict the load requirements within a microgrid for future periods through a smart dispatch mechanism. The smart dispatch send commands to dispatchable generators to meet these load requirements in the most economical method possible.Maximizes Use of Green PowerWhen renewable generation (hydro, wind, solar) and methods of storing power (hydrogen, battery, pumped storage) are available, the U90Plus is able to maximize the use of DERs by enabling energy storage when it determines there is excess renewable power available or it is economically viable to do so. At a later time when there is not enough renewable generation to support the load, the U90Plus can dispatch this low cost stored energy to meet the load requirements in the most efficient manner possible. Load ForecastingThe capability of the U90Plus to forecast the future load requirements is key to providing the optimum generation to support the load. All loads are continuously tracked and used by the U90Plus to create a forecast for the load profile of the microgrid for the next 24 hours.If the actual measured load usage differs from what the U90Plus forecasts for reasons such as a drop in temperature resulting in less load requirements, the U90Plus will continually adjust its forecast to make the best predictions for load requirements.Typical Distributed Energy Resources (DERs) for Microgrid SystemsThe U90Plus can integrate many different types of Distributed Energy Resources into its generation optimization control algorithms.Dispatchable Distributed Energy Resources• Diesel Generators• Fuel Cell Systems• Batteries• Combined Heat & Power (CHP)• Dispatchable Loads –Demand Response Isochronous Generation• Diesel Generators• Hydro Generators• Utility SourceRenewable Generation• Hydro Generators• Wind Generators• Solar Generators• Bio-gas Based Generation• Hydrogen Fuel CellEnergy Storage• Hydrogen Electrolyzer• Batteries – Various BatteryTechnologiesLoads• Aggregated Residential• Industrial•CommercialIf the local utility or campus has the ability to perform advanced load requirement forecasts that could be used instead of or to compliment the forecasts made by the U90Plus , these forecasts can be uploaded into the U90Plus for use in its optimization calculations. Note that if the U90Plus measures that this external forecast is not matching the actual load profile, it will adjust the uploaded forecast to more accurately match what is being used in the microgrid.Generation ForecastingThe distributed generators that are connected to the microgrid are currently monitored by the U90Plus and their output is constantly tracked. A forecast for the expected output of generation from renewable sources over the next prediction horizon (e.g. 24 hours) is then created to predict the contribution to the overall generation that will be supplied by these renewable sources.Similar to the load forecast predictions, if the actual measured generation from available sources differs from what the U90Plus forecasts for reasons such as a drop in wind or an increase in clouds as compared to previous days, the U90Plus will continually adjust its forecast to make the best predictions for the contribution of renewable generation that will be available to support the required loads in the microgrid.Optimal Generation DispatchUsing the load profile that was created based on historical power usage and adjustments made on real time monitoring, the U90Plus will optimize the use of the available generation to provide power in the most economical means possible.As a part of the configuration process of the U90Plus , each generation source is given a cost value to run that generating source. Renewable generators such as wind or solar power will be given a lower cost than diesel or other fuel based generators. Using this information, along with the operating and efficiency characteristics of the generators, the U90Plus will give commands to the dispatchable generators and/or storage devices to best match the generation with the load requirements.In order to use the minimal amount of fuel required to support the load, the U90Plus will turn on the dispatchable generators just before needed in order to minimize the idling time of the generators to provide the most cost effective method in supporting the load.As a part of its generation optimization algorithms, the U90Plus takes into account the operational characteristics of the generators such as the start up time required and the minimal generation loading that is require to make it operate efficiently.The U90Plus performs its generation optimization calculations and sends commands to the generators to maximize generator performance every 12 minutes. As changes in the load occurs between 12 minute optimization cycles, the U90Plus ensures that it took into account enough generation loading margin known as “Isochronous Generator Margin” or “Isoc Margin” to support the addition to the load.The U90Plus develops a 24 hour expected load profile for which it will provide the necessary generation within the system to support it. If the actualmeasured load is different than the forecasted load, the U90Plus will continually adjust the forecast to provide the appropriate generation.The U90Plus generation optimization algorithms intelligently start and stop the dispatchable generators at the optimal times to support the load andminimize the time the generators are running.Hours in a dayGeneration Optimization Using Traditional GenerationMinimized Wasted FuelDiesel Generation Forecasted Load RequirementsAs it is not dispatchable, when renewable generation is integrated into the microgrid system, the U90Plus will dispatch available generation taking intoaccount the contribution of renewable generation into the system.Renewable GenerationDiesel Generation Forecasted Load RequirementsHours in a dayGeneration Optimization with Integrated Renewable GenerationRenewable Generation IntegrationUsing the forecasts made for the amount of renewable generation that will be available in the microgrid, the U90Plus is able to provide additional cost savings in the microgrid network. By taking into account the amount of renewable generation that will be available for future periods, the U90Plus will reduce the amount of dispatchable fossil fuel based generation running to meet the load requirements.Since by its nature renewable generation is variable and can very quickly decrease in contribution to the system (wind slows or increased cloud cover), the U90Plus will incorporate an additional margin of standby generation (Isoc Margin) when renewable contribution is high to ensure there will always adequate generation available to support the load. Isochronous Generation ControlThe isochronous generators (or "isoc generator" are the generators in the microgrid that are used to stabilize the frequency of the system. Based on a pre-defined configuration, the U90Plus is able to identify which generators are the isoc generators as specified by preference of the system operators.The types of generators that can be used as an isoc generator in the microgrid are defined below:• Utility source• Diesel generator• Hydro generator• Fuel cell generator• BatteryEnergy Storage IntegrationWhen a method of storing energy is available, (hydrogen electrolyzer or batteries) renewable generation can be used to its maximum potential for providing cost savings. Energy storage is possible since low cost energy does not need to be used at the exact time that it is produced, therefore it can be used later when renewable sources may not be available.Storing EnergyDuring periods of time where there is more renewable generation available than is required to support the load (such as spilling over the dam at night for hydro), or when there is additional generation margin due to lightly loaded generators, the U90Plus can initiate the hydrogen production or storage (battery or pumped storage) of “fuel”.Using cost information that was entered at the time of configuration of the U90Plus, the optimization algorithms in the U90Plus analyze the excess generation available and determine if it is economically beneficial to store energy at that time. The U90Plus will take into consideration the amount of time it takes the storage medium, to operate efficiently and how long it must run for prior to seeing benefits, before it initiates the storage process. Using Stored EnergyWhen there is not enough renewable generation in the system to support the load requirements and there is sufficient stored energy available to support the loads, U90Plus will initiate the use of available stored energy and will help reducing the fossil fuel consumption to run the diesel generators to feed the loads. In this case, the stored energy resource will act as one of the dispatchable generators in the system.Generator Unit CommitmentThis function of U90Plus enables users to force select the dispatchable generators to be committed for a certain minimum time over the forecasted horizon with a minimum delay. This function considers a portion of the energy storage outputs defined by a predetermined profile - which is calculated by microgrid optimization algorithms based on readings from storage device and the results of previous optimal dispatch.This function also enables use of grid connection as a resource and determines the total share of power to be imported from the grid to be able to support the load demand.The Unit Commitment function of the U90Plus feeds the Optimal Dispatch algorithm to commit certain generating assets considering system parameters and forecasted demand.Generator Unit Commitment IntegrationAutomation ControlThe U90Plus Generation Optimizer algorithms are able to make recommendations as to when to use the various dispatchable resources in the network. When appropriate, these commands can be sent directly to the local controllers that are connected to the generators.When there are special requirements or operating conditions that need to first be considered before these commands can be sent to the local controllers, the U90Plus contains an advanced logic engine that can be used to customize the control of these resources. This logic engine includes many different types of logic operators including Boolean logic and mathematical operators.For example, in cases where it is not possible to directly measure the hydrogen state of charge in a hydrogen based energy storage system, by using a mathematical equation value of hydrogen charge level it can be calculated locally using this powerful logic and math engine. CommunicationsModbus MasterThe U90Plus Generation Optimizer uses the Modbus TCP/IP protocols and acts as a Modbus Master to communicate with the devices connected to the Generation and Load points. The U90Plus optimizes the amount of information needed and uses the low bandwidth required in the Modbus protocol so that the Microgrid optimization system can operate even where there is limited bandwidth between the U90Plus and the local control devices.Modbus TCP/IPModbus TCP/IP protocols are supported in the U90Plus for the purpose of integration into SCADA or Energy Management Systems. Information that can be made available to these systems include:• Real time load being used• Total renewable generation being provided• Total stored energy being provided• Amount of stored energy available for use• Total dispatchable generation availableUpstream System CommunicationsThe D400 controller, as part of the MCS system, can act as a gateway device to be able to communicate to upstream utility systems on standard DNP 3.0 utility communications protocol. This functionality may be desired for grid tied microgrid systems.Sequence of Events RecordThe U90Plus provides a Sequence of Events Record that records all of the generation optimization decisions and logic operations performed by the U90Plus. The Sequence of Events can be monitored locally on the front panel HMI and can also by retrieving the event file (event.txt) through the setup software.SecurityThe U90Plus and associated software tools provide a suite of security features that ensure only authorized personnel can make changes to the configuration of the system.Password SecurityThe U90Plus provides password security to ensure that only authorized personnel can change the settings in the U90Plus. There are four levels of password security provided:• Local Settings Access• Local Control Access• Remote Settings Access• Local Settings AccessSecurity Audit TrailThe U90Plus continually monitors itself to ensure the security of its configuration. The U90Plus offers complete traceability of any setting changes and commands given, allowing the user to quickly identify changes made to the device. A security file (security.txt) can be retrieved via the setup software from the U90Plus. This security file can help identify the time of sending the setting file and alarm configurations (for the annunciator) to the U90Plus. Maximize the Distribution Network Efficiency(Grid Tied Networks)The MCS system can also provide capability to minimize the distribution system losses and maximize network efficiency by leveraging the existing system assets such as Voltage regulators and capacitor banks. The Multilin D400 controller, as part of the MCS system, can host advanced algorithms for Volt/VAR controls for a distribution network.It is possible to increase local distribution network efficiency by optimizing and flattening the voltage profile and by maximizing the reactive power injection into the local distribution network.Microgrid Visualization and HMIThe Grid IQ MCS system offering includes a powerful, user-friendly HMI for monitoring, control and visualization of a Microgrid network.GE’s Proficy™ HMI, offered as a part of the Grid IQ MCS system, provides complete visualization, monitoring and control solution for a microgrid system. GE’s Proficy HMI is a purpose built electric utility oriented system based on GE’s market-leading, industry-standard SCADA software, CIMPLICITY™. CIMPLICITY is a well suited platform for both the permanently islanded (off-the-grid) and grid-connected Microgrid systems.Islanded Mining and Remote Communities One of the biggest challenges that permanently islanded remote and mining communities face is to reduce total cost of energy, primarily driven by fossil fuel cost and quite exorbitant fuel transportation costs. Although, many of these remote communities may have some form of a renewable resource, such as run of a river hydro, small bio-gas plant, wind, or solar, unfortunately because of lack of smart control system infrastructure, they are primarily dependent upon fossil fuel based generation for their energy needs.The Grid IQ MCS system can help many of these remote islanded communities by optimizing the operation of existing assets and also by helping integrating renewable energy resources into the existing network. Such capability not only helps these communities to reduce the total cost of energy, but can also help reduce the GHG emissions and resulting adverse environmental impacts.Grid Connected Military BasesThe defense departments across various parts of the world are up against critical challenges to sustain their mission critical infrastructure during an unplanned event. Their objective is to provide secure and reliable power to their critical infrastructure regardless of situation of the main grid. Although cost of energy and environmental impacts of fossil fuels are important considerations for them, their primary reason for exploring microgrids is to provide a safe, secure and reliable power network for their mission critical buildings and assets.The MCS system can help many of these defense installations by providing a capability to operate in secure islanded mode in case the main grid has an unwanted interruption. The MCS can manage available backup power sources and storage devices, possibly in combination with demand side management for low priority loads to sustain mission critical infrastructure.Typical Microgrid ApplicationsA microgrid system architecture diagram for a typical remote community suitable for application of GE’sGrid IQ MCS system.Existing Protection/ Meetering Relay BEM/HMIOptimizerMDS Mercury 3650RadioEthernetSwitchWireless SignalCHP PLCBuildingloads with PVCHP GenerationDiesel BackupSubstation Loads Fuel Cells - 500 KW1MW PVA microgrid system architecture diagram for a typical military base capable of operating in islanded mode in case of an adverse event on the main grid.gimagination at workDigital Energy 650 Markland St.Markham, ON Canada L6C 0M1Toll Free (NA Only): 1-800-547-8629 Tel: 905-927-7070 Fax: 905-927-5098NERC is a registered trademark of the North American Electric Reliability Corporation.GE, the GE monogram, Grid IQ, Multilin, EnerVista, Proficy and CIMPLICITY are trademarks of the General Electric Company.GE reserves the right to make changes to specifications of products described at any time without notice and without obligation to notify any person of such changes. GE’s Grid IQ Microgrid Control System is “ecomagination approved” by GE. This means it has been proven to deliver significant operational and environmental benefits to customers. Ecomagination is GE’s way of creating new value for customers, investors and society by helping to solve energy and eco magination ™Certified。