Multi-stage Optimization of Distribution Network PMU Based on Interval State Estimation

As the power distribution networks continue to expand and the distributed energy resources are increasingly integrated, the traditional state estimation method encounters significant challenges in meeting the demands for the highprecision real-time monitoring. In this paper, a multi-stage optimal Phasor Measurement Units (PMU) configuration method for distribution networks based on interval state estimation is proposed. The system uncertainty is quantified by the interval state estimation method. To adjust the position and quantity of PMU dynamically, the multi-stage optimization strategy is integrated. Simulation results demonstrate that the proposed method can reduce the initial investment cost significantly while maintaining a high level of precision. This method may meet the dynamic development requirements of the smart distribution networks effectively. Also, this work provides a practical and scalable solution for state estimation in modern power systems.

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Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/icpies65420.2025.11070028
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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Multi-stage Optimization of Distribution Network PMU Based on Interval State Estimation

P. Liu, Hongbin Wu, Yuting Hua, Heping Zhu et al.
Power Systems and Renewable Energy
article

Multi-stage Optimization of Distribution Network PMU Based on Interval State Estimation

P. Liu, Hongbin Wu, Yuting Hua, Heping Zhu, Rui Wang, Yue‐Ming Yu
article en

Abstract

As the power distribution networks continue to expand and the distributed energy resources are increasingly integrated, the traditional state estimation method encounters significant challenges in meeting the demands for the highprecision real-time monitoring. In this paper, a multi-stage optimal Phasor Measurement Units (PMU) configuration method for distribution networks based on interval state estimation is proposed. The system uncertainty is quantified by the interval state estimation method. To adjust the position and quantity of PMU dynamically, the multi-stage optimization strategy is integrated. Simulation results demonstrate that the proposed method can reduce the initial investment cost significantly while maintaining a high level of precision. This method may meet the dynamic development requirements of the smart distribution networks effectively. Also, this work provides a practical and scalable solution for state estimation in modern power systems.

Hefei University of Technology (CN), Anhui University of Science and Technology (CN), National Science Centre (PL)
Natural Science Foundation of Anhui Province
Openalex Percentile: Top 83%
Power Systems and Renewable Energy
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