Optimal power quality monitor placement in power systems based on particle swarm optimization and artificial immune system

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI:10.1109/DMO.2011.5976518

A. A. Ibrahim, A. Mohamed, H. Shareef, S. Ghoshal

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引用次数: 27

Abstract

In the modern industry, most of the equipment use semiconductor devices and microprocessors which are sensitive against power disturbances. Among power disturbances, voltage sags are considered as the most frequent type of disturbances in the field and their impact on sensitive loads is severe. However, to assess voltage sags, installation of power quality monitors (PQM) at all system buses is not economical. Thus, this study is carried out to develop a power quality monitor positioning algorithm to find the optimal number and placement of PQMs in both transmission and distribution systems. In this approach, first, the concept of topological monitor reach area is introduced. Then the binary particle swarm optimization hybridized with artificial immune system is used to solve multi-objective function in finding the optimal placement of PQMs. The proposed algorithm has been implemented and tested on the IEEE 30-bus and the 69-bus test systems to show the effectiveness of the proposed method for both transmission and distribution systems.

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基于粒子群优化和人工免疫系统的电力系统电能质量监测仪优化配置

在现代工业中，大多数设备使用半导体器件和微处理器，它们对电力干扰很敏感。在电力扰动中，电压跌落被认为是最常见的扰动类型，它对敏感负载的影响是严重的。然而，为了评估电压跌落，在所有系统总线上安装电能质量监视器(PQM)是不经济的。因此，本研究旨在开发一种电能质量监视器定位算法，以找出输配电系统中pqm的最佳数量和位置。该方法首先引入了拓扑监测范围的概念。在此基础上，将二元粒子群优化算法与人工免疫系统相结合，求解多目标优化问题。该算法已在IEEE 30总线和69总线测试系统上进行了实现和测试，证明了该方法对输配电系统的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2011 3rd Conference on Data Mining and Optimization (DMO)

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