Reduction of power loss using reactive power optimization in a real distribution system

Hamza Yapici, N. Çetinkaya
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引用次数: 4

Abstract

Electrical power losses are an important factor for the operation of power systems. Reactive power optimization can reduce power loss. This paper describes the solution of reactive power optimization problem using particle swarm optimization and genetic algorithm. The numerical analysis has been carried out in a part of real power system in Turkey that is managed by MEDAŗ. The goal of this study is minimizing the active power loss of the whole distribution network. Due to the absence of any generators in the distribution network, shunt capacitors and bus voltages are taken as control variables. The values of control variables are determined by the both algorithms and the results are compared.
在实际配电系统中利用无功优化降低功率损耗
电力损耗是影响电力系统运行的一个重要因素。无功优化可以降低功率损耗。本文介绍了用粒子群算法和遗传算法求解无功优化问题。并对medahl公司管理的土耳其某实际电力系统进行了数值分析。本研究的目标是使整个配电网的有功损耗最小。由于配电网中不存在发电机,故采用并联电容器和母线电压作为控制变量。两种算法确定了控制变量的取值,并对结果进行了比较。
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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