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Section 2
Power System State Estimation
Section 3
The Approaches and An Example
Section 4
Challenges
Objectives of Power System State Estimation
Power State Estimation in Smart Grid via Phasor Measurement Unit Yunfei Li Section 1
Introduction
1 Section 1
Introduction
2 Section 2
Section 2
Power System State Estimation
Power System State Estimation
3 Section 3
Section 3
The Approaches and An Example
Introduction
To obtain the best estimate of the state of the system based on a set of measurements of the model of the system. Analog measurements Voltage magnitude. Current flow magnitude. Active and reactive power. Transformers. Synchronized phasors from Phasor Measurement Unit.
Section 4
Challenges
The Approaches and An Example
4 Section 4
Challenges
1.What and Why
Power State Estimation in Smart Grid via Phasor Measurement Unit Yunfei Li Section 1
Introduction
Hale Waihona Puke The State Estimation provides Bus voltages,branch flows, Measurement error processing results. Provide an estimate for all metered and unmetered quantities. Filter out small errors due to model approximations and measurement in accuracies. Detect and identify discordant measurements,the so-called bad data.
Power State Estimation in Smart Grid via Phasor Measurement Unit Yunfei Li Section 1
Introduction
State Estimation Monitor the state of the grid and enables energy management systems to perform various important control and planning tasks such as establishing near real-time network models for the grid, optimizing power flows, and bad data detection/analysis. Analyze contingencies and determine necessary corrective actions against possible failures in the power systems.
Introduction
Section 2
Power System State Estimation
Section 3
The Approaches and An Example
Section 4
Challenges
Figure: State estimation process
Objectives of Power System State Estimation
Section 2
Power System State Estimation
Section 3
The Approaches and An Example
Section 4
Challenges
1.What and Why
Power State Estimation in Smart Grid via Phasor Measurement Unit Yunfei Li Section 1
Section 2
Power System State Estimation
Section 3
The Approaches and An Example
Section 4
Challenges
1.What and Why
Power State Estimation in Smart Grid via Phasor Measurement Unit Yunfei Li Section 1
Yunfei Li
Section 2
Power System State Estimation
Section 3
The Approaches and An Example
Section 4
Challenges
October 30, 2016
Table of contents
Power State Estimation in Smart Grid via Phasor Measurement Unit Yunfei Li Section 1
Introduction
Deployment of ‘smart’ technologies (real-time, automated, interactive technologies that optimize the physical operation of appliances and consumer devices) for metering, communications concerning grid operations and status, and distribution automation. Integration of ‘smart’ appliances and consumer devices. Provision to consumers of timely information and control options. Conclusion A common element to most definitions is the application of digital processing and communications to the power grid, making data flow and information management central to the smart grid.
Introduction
Smart Grid Increased use of digital information and controls technology to improve reliability, security, and efficiency of the electric grid. Dynamic optimization of grid operations and resources, with full cyber-security. Deployment and integration of distributed resources and generation, including renewable resources. Development and incorporation of demand response, demand-side resources, and energy-efficiency resources.
Section 2
Power System State Estimation
Section 3
The Approaches and An Example
Section 4
Challenges
1.What and Why
Power State Estimation in Smart Grid via Phasor Measurement Unit Yunfei Li Section 1
Section 2
Power System State Estimation
Section 3
The Approaches and An Example
Section 4
Challenges
Figure: Electricity system of a distributed smart grid
1.What and Why
Power State Estimation in Smart Grid via Phasor Measurement Unit Yunfei Li Section 1
Introduction
Power State Estimation in Smart Grid via Phasor Measurement Unit
Section 2
Power System State Estimation
Section 3