Research on Coordinated Optimization of Reactive Power Compensation and Power Quality in Photovoltaic Grid-Connected Systems

Along with the wide application of PV in the power grid, especially how to optimize the PV system, is becoming a key factor. A PSO and genetic algorithm are proposed to optimize the PV grid. PSO is applied to search globally, and GA is used to optimize locally. The results of the experiment indicate that the combined optimization method can significantly increase the power factor of the system and decrease the voltage fluctuation by 15% and the harmonic content by 20%. Compared with the optimization method using PSO or GA alone, the joint algorithm shows more obvious advantages in convergence speed and optimization accuracy, and can achieve the optimal state of power quality more quickly.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/iseae64934.2025.11041883
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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article

Research on Coordinated Optimization of Reactive Power Compensation and Power Quality in Photovoltaic Grid-Connected Systems

Congcong Zhou
1 citations
Power Systems and Renewable Energy
0.53
article

Research on Coordinated Optimization of Reactive Power Compensation and Power Quality in Photovoltaic Grid-Connected Systems

Congcong Zhou
article en
1 citations

Abstract

Along with the wide application of PV in the power grid, especially how to optimize the PV system, is becoming a key factor. A PSO and genetic algorithm are proposed to optimize the PV grid. PSO is applied to search globally, and GA is used to optimize locally. The results of the experiment indicate that the combined optimization method can significantly increase the power factor of the system and decrease the voltage fluctuation by 15% and the harmonic content by 20%. Compared with the optimization method using PSO or GA alone, the joint algorithm shows more obvious advantages in convergence speed and optimization accuracy, and can achieve the optimal state of power quality more quickly.

China University of Petroleum, East China (CN)
Affordable and clean energy
Openalex Percentile: Top 30%
Power Systems and Renewable Energy
0.53
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