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

机译:利用进化计算技术对静态安全增强的影响无功功率控制

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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:本文介绍了求解约束无功功率控制(CRPC)问题的进化计算技术,以提高抗困难下的电压稳定性,同时在可接受水平下最小化传输损耗和维持电压电平。在该研究中,选择进化编程(EP)作为用于解决CRPC的进化计算(EC)技术;考虑到两个独立的目标职能。在可靠性测试系统上单独实现实际功率损耗的静电稳定性增强和最小化。对人工免疫系统(AIS)进行的比较研究突出显示EP表现出对象职能的表现优于AIS。

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