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首页> 外文期刊>International Journal of Electrical and Computer Engineering >Utilization of Genetic Algorithm in Reactive Power Management by SVC
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Utilization of Genetic Algorithm in Reactive Power Management by SVC

机译：遗传算法在SVC无功管理中的应用

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This paper contains an approach of a generalized optimization formulation regarded as genetic algorithm with a view to determining the optimal location of distributed generators in 10-bus network offering reactive power capability. It is certainly the case that the reactive power management plays a noteworthy role, when it is required to improve not just the voltage profile but the voltage stability as well. In this paper, the requisite reactive power planning has been precisely solved by the evolutionary genetic algorithm, which is based on biological metaphor, in which best individuals are selected among parents and offspring generation. In addition, genetic algorithm does not need initial information about the system to begin the searching process since it works only with the chromosomes which will be optimized according to the objective functions and the proper constraints. As far as this paper goes, the injection of 228.5469553MVAR reactive power by Static Var Compensator (SVC) is enough to maintain voltage stability throughout the system.
机译：本文包含一种被视为遗传算法的广义优化公式，旨在确定提供无功功率功能的10总线网络中分布式发电机的最佳位置。当无功功率管理不仅需要改善电压分布，而且还需要改善电压稳定性时，肯定会发挥重要作用。在本文中，通过基于生物隐喻的进化遗传算法精确地解决了必需的无功计划，该遗传算法从父母和后代中选出最佳个体。此外，遗传算法不需要有关系统的初始信息即可开始搜索过程，因为它仅适用于根据目标函数和适当约束条件进行优化的染色体。就本文而言，通过静态无功补偿器（SVC）注入228.5469553MVAR无功功率足以维持整个系统的电压稳定性。

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