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首页> 外文期刊>Electric power systems research >Optimal placement and sizing of multiple active power filters in radial distribution system using grey wolf optimizer in presence of nonlinear distributed generation
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Optimal placement and sizing of multiple active power filters in radial distribution system using grey wolf optimizer in presence of nonlinear distributed generation

机译：在存在非线性分布式发电的情况下，使用灰狼优化器在径向配电系统中优化布置多个有源电力滤波器并确定其尺寸

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Excessive utilization of distributed generation (DG) leads to power quality issues in the radial distribution system (RDS). The harmonic level exceeds the IEEE-519 standard limits if DG penetration level extends. In this paper, the impact of DG penetration on the optimal placement and sizing (OPAS) of active power filter (APF) is discussed. The new nonlinear load position based APF current injection (NLPCI) technique is proposed to locate the feasible buses for the placement of APF in presence of nonlinear load only as well as in presence of DG also. Here, the grey wolf optimizer (GWO) is used to recognize the optimal size of APF. The result shows that the size of APF required with inclusion of nonlinear load and DG is bigger as compared to that with nonlinear load only. The GWO outcomes are compared with the results of particle swarm optimization (PSO) and harmony search (HS). The result shows that penetration of DG affects the placement and size of APF, and GWO gives significant outcomes compared to PSO and HS.
机译：分布式发电（DG）的过度利用会导致径向配电系统（RDS）出现电能质量问题。如果DG穿透级别扩展，则谐波级别超过IEEE-519标准限制。本文讨论了DG渗透对有源功率滤波器（APF）最佳布局和尺寸（OPAS）的影响。提出了一种新的基于非线性负载位置的APF电流注入（NLPCI）技术，以定位仅在存在非线性负载以及存在DG的情况下用于布置APF的可行母线。在这里，灰狼优化器（GWO）用于识别APF的最佳大小。结果表明，与仅包含非线性负载的情况相比，包含非线性负载和DG的APF的大小更大。将GWO结果与粒子群优化（PSO）和和声搜索（HS）的结果进行比较。结果表明，与PSO和HS相比，DG的渗透会影响APF的位置和大小，而GWO的结果显着。

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