英文文献阅读笔记

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英文文献阅读笔记
Title:Distributed Virtual Inertia Based Control of Multiple Photovoltaic Systems in Autonomous Microgrid
Author:Won-Sang Im, Member, IEEE, Cheng Wang, Student Member, IEEE, Wenxin Liu, Senior Member, IEEE, Liming Liu, Senior Member, IEEE, and Jang-Mok Kim, Member, IEEE
Source:IEEE/CAA JOURNAL OF AUTOMATICA SINICA, VOL. 4, NO. 3, JULY 2017
Research question:
Since an autonomous renewablemicrogrid usually has much smaller inertia, the control systemmust be very fast and accurate to fight against the small inertiaand uncertainties. To reduce the demanding requirements oncontrol, this paper proposes to increase the inertia of photovoltaic(PV) system through inertia emulation.
在摘要中作者简要叙述了本文研究内容即:寻找一种方法来增加PV系统的惯性以降低系统的控制要求。

同时,在Introduction部分,作者进一步对研究问题进行了详细的描述。

Methods:
The inertia emulation is realized by controlling the charging/discharging of the directcurrent (DC)-link capacitor over a certain range and adjustingthe PV generation when it is feasible and/or necessary. By well designing the inertia, the DC-link capacitor parametersand the
control range, the negative impact of inertia emulationon energy efficiency can be reduced.The proposed algorithmcan be integrated with distributed generation setting algorithmsto improve dynamic performance and lower implementationrequirements. Simulation studies demonstrate the effectivenessof the proposed solution.
为了克服系统惯性较低的问题,作者提出了一种新的控制方法,在对此方法进行推导与演算之后又用软件仿真的方式验证了此方法的周期性。

Findings/results:
In spite of the disconnection form the grid at20 s or 5% load increase change at 40 s, the system can becontrollable to satisfy the supply-demand balance.Actually,it is because of the increased system inertia. In this test,inertia coefficient HPV for two PVs are both 4.5. If thetwo inertia coefficients are lower than 4, the system becomesunstable after 20 s. As shown in Figs. 12 (c) and 12 (d), thetwo PV systems are generating the active powers based onthe virtual inertia algorithm so that it can prevent frequencycollapse. Therefore, the proposed virtual inertia control canhelp stabilizing system when the upper-level control referencecannot be delivered frequently enough.
Fig. 12. Active power of 5 RGs with the proposed algorithm
作者在对比了使用这种新的控制算法前后的仿真波形图之后,得出来此种控制方法在一定的应用范围内,具有更优的控制性能的结论。

Discussion/conclusion:
Conclusion可以分为以下五个小部分:
(1)R estatements of the research question: This paper presents a
virtual inertia control strategy forPV systems in autonomous microgrid. The basic idea isto adjust generation based on a simplified SG model. Theincreasing or decreasing PV system generation is realizedby adjusting the DC-link voltage and PV array output.
(2)D iscussion of the result: Byintegrating the proposed solution
with a previously developeddistributed gradient-based coordination algorithm, transientperformance can be improved and the demanding requirementon updating frequency can be relaxed.
(3)S ignificance of the research:The solution is suitablefor
autonomous microgrids when they have surplus renewablegeneration and when consideration on transient performanceoutweighs energy efficiency. The basic idea can be extendedto other types of RGs with DC-link capacitors.
(4)L imits of the research:The solutiontries to make microgrid
work like a large power grid withlarge inertia. Thus, it cannot unlock the potentials of powerelectronics based microgrid in terms of flexibility and fast response.
(5)F urther research work:Future work should be focused on
designing advancedfast and accurate microgrid controllers.
Tone:weak
Indicative sentence pattern:
A model isdeveloped for a…
The objective of…is to…
According to…
From …one can see that…
The experimental results reveal that…
Relevance to my study:
The direction of my research is motor and electrical appliances. The circuit topology used in this document is one of the most applied circuit structures in our electrical specialty. Reading this article is very helpful for us to master the characteristics of this circuit topology. The control method
proposed in this paper has also solved the problem of the difficult control of the microgrid system. At the same time, we can extend it and apply this control method to other power generation systems. This provides a new way of thinking for our future research and study.。