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

机译:使用进化计算技术的约束无功功率控制,以增强静态安全性

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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.
机译:本文提出了用于解决约束无功功率控制(CRPC)问题的进化计算技术,以试图在意外情况下提高电压稳定性,同时最大程度地减少传输损耗并将电压水平保持在可接受的水平。在这项研究中,选择进化编程(EP)作为解决CRPC的进化计算(EC)技术。考虑到两个独立的目标函数。在可靠性测试系统上分别实现了静态电压稳定性的增强和实际功率损耗的最小化。相对于人工免疫系统(AIS)进行的比较研究强调,对于两种目标功能,EP的性能均优于AIS。

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