Optimization Control for Grid-Forming Photovoltaic Energy Storage Access to Distribution Station Based on Chaotic PSO

Shuang ZHENG, Yanjiang GONG, Tiansong GU, Xinzhen FENG

South Power Sys Technol ›› 2025, Vol. 19 ›› Issue (11) : 39-49.

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South Power Sys Technol ›› 2025, Vol. 19 ›› Issue (11) : 39-49. DOI: 10.13648/j.cnki.issn1674-0629.2025.11.004
Distribution Network Operation

Optimization Control for Grid-Forming Photovoltaic Energy Storage Access to Distribution Station Based on Chaotic PSO

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Abstract

A grid-forming photovoltaic energy storage access optimization control strategy based on improved chaotic particle swarm optimization is proposed to address the issues of voltage fluctuations, low utilization of renewable energy, and line losses caused by the integration of traditional photovoltaic energy storage grid-forming inverters into active distribution stations. Firstly, a multi-objective optimization model is constructed with the objectives of minimizing load voltage deviation, maximizing photovoltaic power generation, and minimizing line losses. According to system requirements, the optimization priority for load voltage deviation is set to be the highest and the line loss is the lowest. Multi-objective problems are transformed into three single objective optimization problems through priority sorting. To improve the efficiency of solving, the initial parameter selection strategy of the chaotic particle swarm algorithm is improved. The simulation results show that the proposed method has faster convergence speed and higher solution accuracy, which verify the effectiveness of the control strategy.

Key words

grid-forming / active distribution station / voltage quality / optimal control / photovoltaic energy storage

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Shuang ZHENG , Yanjiang GONG , Tiansong GU , et al. Optimization Control for Grid-Forming Photovoltaic Energy Storage Access to Distribution Station Based on Chaotic PSO[J]. Southern Power System Technology. 2025, 19(11): 39-49 https://doi.org/10.13648/j.cnki.issn1674-0629.2025.11.004

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Funding

the National Natural Science Foundation of China(52467006)
Jibei Comprehensive Planning Project(520103240003)
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