Constrained Reactive Power Control Using Evolutionary Computation Technique for Static Security Enhancement

N. Abdullah, I. Musirin, Muhammad Murthada
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引用次数: 4

Abstract

This paper presents Evolutionary Computing technique for solving constrained reactive power control (CRPC) problem in the attempt to enhance voltage stability under contingencies, while minimizing transmission loss and maintaining voltage level at an acceptable level. In this study, evolutionary programming (EP) was chosen as the Evolutionary Computing (EC) technique for solving the CRPC; taking into consideration two separate objective functions. Static voltage stability enhancement and minimization of real power loss are implemented separately on a reliability test system. Comparative studies performed with respect to Artificial Immune System (AIS) have highlighted that EP outperformed AIS for both objective functions.
基于进化计算技术的约束无功控制静态安全增强
本文提出了一种求解约束无功控制(CRPC)问题的进化计算技术,以提高突发事件下的电压稳定性,同时最小化传输损耗并将电压水平维持在可接受的水平。本文选择进化规划(EP)作为求解CRPC问题的进化计算(EC)技术;考虑两个独立的目标函数。在可靠性测试系统中分别实现了增强静态电压稳定性和减小实际功率损耗。与人工免疫系统(AIS)进行的比较研究强调,EP在两个目标功能上都优于AIS。
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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