MF-APSO-Based Multiobjective Optimization for PV System Reactive Power Regulation


This paper proposes a reactive power-regulation strategy for a distribution system connected with high-penetration photovoltaic (PV) generation. The PV reactive power regulation is formulated as a multiobjective optimization downside to alleviate the overvoltage caused by high PV penetration and to minimize total line loss. With integrated power-flow analysis, a replacement mutation fuzzy adaptive particle swarm optimization (MF-APSO) algorithm is proposed to solve the multiobjective optimization downside. The proposed reactive power-regulation strategy and MF-APSO algorithm are, respectively, compared with standard ways for overvoltage mitigation and total line-loss reduction, in addition like the referenced optimization algorithms for the problems of concern. Numerical results verify that the proposed multiobjective optimization method will additional effectively mitigate the overvoltage issue and greatly reduce the full line loss as compared to other strategies. Utilization of high-penetration PV systems will therefore be additional enhanced with reduced power curtailment due to the added functions of voltage regulation and line-loss minimization.

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