Demonstrates improved power quality in photovoltaic systems, indicating enhanced efficiencies.
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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Congcong Zhou (2025) studied this question.
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