Distribution system load flow solution using Genetic Algorithm

D. Chakraborty, C. Sharma, B. Das, K. Abhishek, T. Malakar
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引用次数: 21

Abstract

Deregulation in power system has a positive impact on power system planning, reliability and profit at the cost of increase in complexity in the distribution system. Several methods have been proposed to study the unbalanced three-phase load flow solution for distribution systems. Approach[1] characterizes the network by using two matrices: the bus-injection to branch-current (BIBC) matrix and the branch-current to bus-voltage (BCBV) matrix. In this paper Genetic Algorithm is used to accelerate the performance of the algorithm in [1] during varied network conditions and results obtained are compared with the original method. Programs were developed in MATLAB for both the approaches and applied on the same test system. Test results showed that the proposed approach can give accurate solution faster to different loading patterns including ill conditioned one.
配电网潮流的遗传算法求解
电力系统的放松管制对电力系统的规划、可靠性和利润产生了积极的影响,但代价是配电系统的复杂性增加。提出了几种方法来研究配电系统三相不平衡潮流解。方法[1]通过使用两个矩阵来表征网络:总线注入到支路电流(BIBC)矩阵和支路电流到总线电压(BCBV)矩阵。本文采用遗传算法对[1]中算法在不同网络条件下的性能进行加速,并将所得结果与原方法进行比较。用MATLAB编写了两种方法的程序,并应用于同一测试系统。试验结果表明,该方法对包括病态加载模式在内的不同加载模式均能快速准确地求解。
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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