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A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators

机译:考虑分布式发电机的配电网日常伏/瓦尔控制的新型模糊自适应粒子群算法

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摘要

This paper presents a novel approach for daily Volt/Var control in distribution systems using Distributed Generation (DG) units. The impact of DG units on Volt/Var control is significant in a distribution network with radial configuration and small X/R ratio. In this paper, a price-based approach is adopted to determine the optimum active and reactive power dispatch for the DG units, the reactive power contribution of the capacitor banks, and the tap settings of the transformers in a day in advance. A fuzzy adaptive particle swarm optimization (FAPSO) method is used to solve the daily Volt/Var control which is a non-linear mixed-integer problem. A mathematical expression of the proposed method and its effectiveness using simulation results are provided.
机译:本文提出了一种使用分布式发电(DG)单元进行配电系统日常伏/瓦尔控制的新颖方法。在具有径向配置和较小X / R比的配电网络中,DG装置对Vol / Var控制的影响非常明显。在本文中,采用基于价格的方法提前一天确定DG单元的最佳有功和无功功率分配,电容器组的无功功率贡献以及变压器的抽头设置。运用模糊自适应粒子群算法(FAPSO)来解决日常的伏特/瓦尔控制问题,这是一个非线性的混合整数问题。提供了该方法的数学表达式及其使用仿真结果的有效性。

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