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A PSO-based Multi-objective Method for Optimal Weight Factors, Placement and Sizing of Multiple DG Units in a Distribution System

机译:一种基于PSO的多目标方法,用于在分配系统中最佳的重量因子,放置和大小的施加和尺寸

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Minimization of a single-objective-function (SOF) and a weighted-sum multi-objective-function (MOF) is aimed at obtaining optimal placements and sizes of multi DG units in distribution systems. The indices of the MOF are related to characteristics of the distribution system. The weight factors were assumed arbitrarily or determined according to the preferences of the decision maker. To the authors’ knowledge, this paper presents -for the first time- a Particle-Swarm-optimization (PSO) -based-method for computing the weighting factors while minimizing the SOF or MOF of the distribution system. The index priority of the MOF is always given to the deviation of bus-voltage from nominal-value in conformity to power-quality features regarding no sag or swell of bus-voltage. The computed optimal placements and sizes of the DG units agreed reasonably with those reported in the literature. The dependency of optimal placements and sizes on the load type is investigated for the IEEE 33-bus radial distribution system.
机译:最小化单个目标函数(SOF)和加权 - 和多目标函数(MOF)旨在获得分配系统中的多DG单元的最佳放置和大小。 MOF的指数与分配系统的特征有关。根据决策者的偏好任意或确定权重因素。对于作者的知识,本文介绍 - 第一次 - 基于粒子群优化(PSO) - 基于用于计算加权因子的方法,同时最小化分配系统的SOF或MOF。 MOF的指数优先级始终赋予总线电压的偏差,以符合关于没有凹凸或膨胀的总线电压的功率质量特征。计算的最佳放置和DG单元的大小合理地与文献中报道的那些合理同意。研究了IEEE 33总线径向分布系统的最佳放置和尺寸对负载类型的依赖性。

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