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Low Voltage Network State Estimation: RSE’s Experimental Validation

Related tags

#Electricity Network #Monitoring and Control

Publications - Paper

Low Voltage Network State Estimation: RSE’s Experimental Validation

The state estimation of the grid is fundamental for online monitoring and control. Efficient and accurate state estimation is essential for the optimal management of the future electrical grid. This document describes the development of a testbed for evaluating the performance of state estimation based on PMUs and presents the test results assessing state estimation considering different PMU placements.

The increasing deployment of distributed energy resources in the distribution grid leads to variable power flows that must be managed to maintain system stability. In this context, state estimation of the grid is crucial for online monitoring and control. Efficient and accurate state estimation is essential for optimal management of the future electrical grid.

 

The development of low-cost Phasor Measurement Units (PMUs) designed for the distribution grid can enhance system observability. However, installing PMUs at every node of the grid is not feasible due to high costs. This necessitates determining the optimal PMU placement to maintain system observability with a minimal number of measurements. Yet, few studies demonstrate the effect of different PMU placements in a real-world environment. This document describes the development of a testbed for evaluating PMU-based state estimation performance and presents the test results assessing state estimation considering various PMU placements.

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Rif.RSE​

22004216

Destination​

IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Prague, June 28 - July 1, 2022

Publication Date

01 July 2022

Authors​

M. Pendieu Kwaye, R. Lazzari (RSE S.p.A.)

Publication Type

Paper

Projects

Evolution, planning, scheduling and operation of power grids (Networks)

Target​

Research

Related tags

#Electricity Network #Monitoring and Control

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