Optimal Operation of Low-Voltage Distribution Network Based on Photovoltaic Energy Storage Integrated Equipment

With the development of distributed photovoltaic business, user-based photovoltaic energy storage integrated equipment is being connected to the low-voltage distribution network. However, this phenomenon will lead to the weak end of the distribution network voltage overlimit and other problems, seriously affect the healthy operation of the distribution network. In this paper, a two-layer optimal scheduling model based on PV and energy storage cluster is proposed. The upper layer uses benders algorithm to calculate the active power output of photovoltaic energy storage nodes to optimize the energy storage balance, and the lower layer uses particle swarm optimization to calculate the reactive power output to optimize the node voltage balance. The effectiveness of the proposed algorithm is verified by an 18-nodes simulation in a rural area.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icsgsc62639.2024.10813934
Primary Topic
Power Systems and Renewable Energy
Type
article
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Optimal Operation of Low-Voltage Distribution Network Based on Photovoltaic Energy Storage Integrated Equipment

Shaohua Liu, Qingsong Wang, Hao Ding, Xiaoyan Zhang
Power Systems and Renewable Energy
article

Optimal Operation of Low-Voltage Distribution Network Based on Photovoltaic Energy Storage Integrated Equipment

Shaohua Liu, Qingsong Wang, Hao Ding, Xiaoyan Zhang
article en

Abstract

With the development of distributed photovoltaic business, user-based photovoltaic energy storage integrated equipment is being connected to the low-voltage distribution network. However, this phenomenon will lead to the weak end of the distribution network voltage overlimit and other problems, seriously affect the healthy operation of the distribution network. In this paper, a two-layer optimal scheduling model based on PV and energy storage cluster is proposed. The upper layer uses benders algorithm to calculate the active power output of photovoltaic energy storage nodes to optimize the energy storage balance, and the lower layer uses particle swarm optimization to calculate the reactive power output to optimize the node voltage balance. The effectiveness of the proposed algorithm is verified by an 18-nodes simulation in a rural area.

NARI Group (China) (CN), Southeast University (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Power Systems and Renewable Energy
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