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Sizing and Locating of Distributed Generations Based on Chaos Particle Swarm Optimization Algorithm

机译:基于混沌粒子群优化算法的分布代尺寸和定位

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Optimal configuration of distributed generations (DGs) is an important topic in the developing of intelligent power grid. In this paper, to finding out the optimal sitting and sizing Of DGs in distribution network without considering the newly increased load nodes, an economical model is built that regards the annual minimum operating cost as the objective function. Meanwhile, in order to avoid the particles trapping in local optimum, the chaos particle swarm optimization algorithm (CPSO) is adopted. Through testing on the IEEE 33-bus radial distribution system, the analysis results showed that the algorithm is effective.
机译:分布代(DGS)的最佳配置是智能电网发展中的一个重要主题。在本文中,为了在分发网络中找出DGS的最佳坐姿和大小,而不考虑新增加的负载节点,建立了一项经济模型,这使得每年最小运营成本视为客观函数。同时,为了避免捕获局部最佳颗粒,采用混沌粒子群优化算法(CPSO)。通过在IEEE 33母线径向分配系统上进行测试,分析结果表明该算法是有效的。

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