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Genetic algorithms applied for the optimal allocation of power quality monitors in distribution networks

机译:遗传算法在配电网电能质量监测仪的优化配置中的应用

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This paper presents a methodology which determines the optimal allocation of power quality monitors, in order to monitor the occurrence of voltage sags and swells in distribution networks. Initially, the methodology characterizes the system under analysis regarding the occurrence of voltage sag and swells. This characterization is performed through the simulation of several short-circuits at different points of the system being studied and taking in to consideration several conditions (fault impedance, fault type, etc.). For this purpose, a new method that defines the most relevant short-circuit conditions is proposed. After the system's characterization, the methodology makes use of Genetic Algorithms (GA) to define the minimum number of monitors required to monitor the whole system, and also the places where these monitors should be installed in the power network.
机译:本文提出了一种确定电能质量监控器最佳分配的方法,以监控配电网中电压骤降和骤升的发生。最初,该方法表征了正在分析的有关电压骤降和骤升的发生的系统。通过模拟正在研究的系统不同点的几个短路并考虑几个条件(故障阻抗,故障类型等)来执行此表征。为此,提出了一种定义最相关的短路条件的新方法。在对系统进行特性描述之后,该方法将利用遗传算法(GA)来定义监视整个系统所需的最小监视器数量,以及这些监视器应安装在电网中的位置。

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