Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2022 , Vol. 56 >Issue 7: 827 - 839

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2021.455

New Type Power System and the Integrated Energy

A Shared Energy Storage Optimal Operation Method Considering the Risk of Probabilistic Voltage Unbalance Factor Limit Violation

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  • 1. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
    2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China

Received date: 2021-11-11

  Online published: 2022-08-16

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Abstract

The distributed access with single-phase and uncertain generation of the renewable energy increase the risk of voltage unbalance limit violation in the distribution network. With the increasing penetration rate of the renewable energy generation, it is important to study the mitigation of the impacts of intermittent renewable energy generation on the risk of voltage unbalance limit violation in the distribution network. A shared energy storage allocation strategy and optimal operation method based on global sensitivity analysis (GSA) is proposed. First, a back propagation neural network (BPNN) based probabilistic voltage unbalance factor calculation model for the distribution network is constructed, and the risk index of the distribution network probabilistic voltage unbalance factor limit violation is defined, which can quickly and accurately quantify the impact of uncertain renewable energy generation on the risk of voltage unbalance limit violation in the distribution network. Then, a GSA method based on Wasserstein distance is proposed to identify the critical renewable energy sources affecting the distribution network voltage unbalance. Finally, the GSA-based shared energy storage allocation strategy and the rolling prediction optimization-based operation method of the shared energy storage are proposed. The effectiveness of the proposed method is verified through the simulation analysis of IEEE 123-bus distribution network.

Key words： renewable energy generation; uncertainty; voltage unbalance; global sensitivity analysis (GSA); shared energy storage

Cite this article

FANG Xiaotao, YAN Zheng, WANG Han, XU Xiaoyuan, CHEN Yue . A Shared Energy Storage Optimal Operation Method Considering the Risk of Probabilistic Voltage Unbalance Factor Limit Violation[J]. Journal of Shanghai Jiaotong University, 2022 , 56(7) : 827 -839 . DOI: 10.16183/j.cnki.jsjtu.2021.455

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