Optimal location of Distributed Generation using micro-genetic algorithm

C. Nayanatara, J. Baskaran, D. Kothari
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引用次数: 2

Abstract

The introduction of Distributed Generation (DG) devices for power system increases the stability, reduction in losses and increase in the cost of generation. In this paper Micro Genetic Algorithm (MGA) a non conventional optimization technique is used to optimize the various parameters. The various parameters taken into consideration are their type, location and size of the DG devices. The simulation on a distribution system with steady state basis was performed by modelling DG with different types. The results are compared and justified with another search method like Micro Genetic Algorithm (MGA). The results reveal the benefits of this method, which makes it challenging for solving simultaneous optimization problems of DG device in a power system network.
基于微遗传算法的分布式发电优化定位
分布式发电(DG)设备的引入提高了电力系统的稳定性,减少了损耗,增加了发电成本。本文采用微遗传算法(MGA)这种非常规的优化技术对各参数进行优化。所考虑的各种参数是它们的类型,位置和DG设备的尺寸。通过对不同类型DG进行建模,对具有稳态基础的配电系统进行了仿真。将结果与另一种搜索方法如微遗传算法(MGA)进行了比较和验证。结果表明了该方法的优越性,这对解决电网中DG设备的同步优化问题提出了挑战。
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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