A Novel Genetic Algorithm Approach to Achieve Steady State Power Flow Solution

Shilpa S. Shrawane Kapse, M. Diagavane, N. Bawane
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引用次数: 1

Abstract

Power flow is nothing but the flow of active and reactive power. To achieve the steady state operating condition of a power system, power flow analysis (PFA) is used. In short, it is to find the approximate values of P, Q, V and δ at various buses, lines flows, generators and loads under steady state condition. Heuristic methods are generally referred as experience based techniques for solving problem, learning and discovery. Heuristics are simple and efficient rules coded by evolutionary processes. In this paper, GA, genetic algorithm, one of such heuristic algorithms have been used to do the power flow analysis in a simple three bus system.
一种新的遗传算法求解稳态潮流
潮流就是有功功率和无功功率的流动。为了实现电力系统的稳态运行状态,需要使用潮流分析(PFA)。简而言之,就是求出各种母线、线路流、发电机和负载在稳态条件下的P、Q、V和δ的近似值。启发式方法通常指的是基于经验的解决问题、学习和发现的技术。启发式是由进化过程编码的简单而有效的规则。本文采用启发式算法中的遗传算法对一个简单的三母线系统进行潮流分析。
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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