Optimal placement of static var compensators in power system for stability improvement

M. Golkar, D. Jalali, R. Berahmand-pour
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引用次数: 1

Abstract

This paper presents a new method which applies the application of Genetic Algorithm as meta-heuristic optimization method for power system problems in distribution substations. With increase in load, any power system model suffers from disturbances. These disturbances effect the overall stability of the system. Criterias like voltage profile, power flows, losses tell us about the state of the system under study. Load flow analysis under study is capable of providing the insight of the system. Static var compensator is one of the methods and can be applied to obtain a system with least losses, increased power flow and healthy voltage profile. Number, location and size of Static var compensator are the main concerns and they can be optimized to a great extent by Genetic Algorithm. Use of Static var compensator in system has shown considerable increase in voltage profile and power flows while decrease in losses.
电力系统静态无功补偿器的优化配置以提高系统稳定性
本文提出了一种将遗传算法作为启发式优化方法来求解配电所电力系统问题的新方法。随着负荷的增加,任何电力系统模型都会受到扰动。这些干扰影响了系统的整体稳定性。诸如电压分布、功率流、损耗等标准告诉我们所研究的系统的状态。所研究的潮流分析能够提供对系统的洞察。静态无功补偿是其中一种方法,可以使系统损耗最小,功率增大,电压分布健康。静态无功补偿器的数量、位置和大小是主要问题,遗传算法可以在很大程度上对其进行优化。在系统中使用静态无功补偿器,在降低损耗的同时,显著提高了系统的电压分布和功率流。
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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