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首页> 外文期刊>Electric Power Components and Systems >Optimal Placement and Sizing of Inverter-Based Distributed Generation Units and Shunt Capacitors in Distorted Distribution Systems Using a Hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm
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Optimal Placement and Sizing of Inverter-Based Distributed Generation Units and Shunt Capacitors in Distorted Distribution Systems Using a Hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm

机译：利用混合相量粒子群优化和引力搜索算法，扭转分布系统中逆变基于分布生成单元和分流电容的最佳放置和尺寸

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摘要

In this paper, a novel hybrid population-based meta-heuristic algorithm, called the hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is proposed to solve the problem of optimal placement and sizing of inverter-based distributed generation (DG) units and shunt capacitors in radial distribution systems with linear and non-linear loads. The objective of the problem is reduction of active power losses considering constraints of the fundamental frequency active and reactive power balance, RMS voltage, and total harmonic distortion of voltage (THDV) at each bus of the network, as well as the branch flow constraints. The performance of the PPSOGSA-based approach is evaluated on the standard IEEE 33- and 69-bus test systems under sinusoidal and non-sinusoidal operating conditions. Compared to the original PPSO and GSA and other algorithms commonly used in the optimal sitting and sizing problem of DG units and shunt capacitors, it is found that the proposed algorithm has yielded better results.
机译：本文提出了一种新颖的混合群体的元启发式算法，称为混合相量粒子群优化和重力搜索算法（PPSOGSA），以解决基于逆变器的分布式发电（DG）的最佳放置和尺寸的问题具有线性和非线性载荷的径向分配系统中的单位和分流电容。问题的目的是考虑到网络的基本频率和无功功率平衡，RMS电压和网络的每个总线的电压（THDV）的总谐波失真的限制，以及分支流量约束的限制。基于PPSogsa的方法的性能在正弦和非正弦操作条件下的标准IEEE 33和69总线测试系统上进行评估。与原始的PPSO和GSA和常用于DG单位和分流电容器的最佳坐姿和尺寸问题的其他算法相比，发现该算法产生了更好的结果。

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