A rule-based expert system for the optimal problem of PV systems using particle swarm optimization

Hwachang Song, Jaehwan Koh, Kyeonghwa Kim, B. Choi
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Abstract

This paper presents a rule-based expert system for the optimal problem of photovoltaic(PV) system using discrete particle swarm optimization(PSO) in distribution power system. Expert system is applied on the discretization for a real-valued particle's velocity to a multi-valued discrete variable. In the discrete PSO procedures, several rules in terms of object value and optimization speed are employed to search for an optimal solution. The numerical results show the usefulness of the proposed discrete PSO for the allocation problem.
基于粒子群算法的光伏系统优化问题专家系统
提出了一种基于规则的专家系统,利用离散粒子群算法求解配电系统中光伏系统的优化问题。将专家系统应用于将实值粒子速度离散化为多值离散变量。在离散粒子群算法中,利用目标值和优化速度方面的若干规则来搜索最优解。数值结果表明了所提出的离散粒子群算法在分配问题中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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