Optimal distribution network reconfiguration considering power quality issues

Emad Nazerian, Sina Gharebaghi, A. Safdarian
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引用次数: 8

Abstract

Distribution network reconfiguration as a technique for reducing network losses and enhancing voltage profile has attracted attention of many researchers. In spite of impacts network reconfiguration can have on power quality indices, the potentials have not been studied enough. To fill the gap, this paper presents a method to determine optimum network configuration considering voltage profile, network losses, and total harmonic distortion (THD). The proposed method also vouches for radial structure of the network, supplying all loads, and maintaining voltages and currents within allowable bounds. Since network reconfiguration problem is a combinatorial optimization problem, a meta-heuristic method is applied here. The method is based on a modified version of selective particle swarm optimization (PSO). To investigate the effectiveness of the proposed method, it is applied to the IEEE 69-bus standard test system and the results are compared with those of genetic algorithm (GA) and ant colony optimization (ACO).
考虑电能质量问题的配电网优化重构
配电网重构作为一种降低网损、改善电压分布的技术,受到了众多研究者的关注。尽管电网重构会对电能质量指标产生影响,但对其潜在影响的研究还不够。为了填补这一空白,本文提出了一种考虑电压分布、网络损耗和总谐波失真(THD)的最佳网络配置方法。所提出的方法还保证了网络的径向结构,提供所有负载,并保持电压和电流在允许的范围内。由于网络重构问题是一个组合优化问题,本文采用了元启发式方法。该方法基于改进的选择性粒子群优化(PSO)。为了验证该方法的有效性,将其应用于IEEE 69总线标准测试系统,并与遗传算法(GA)和蚁群算法(ACO)的结果进行了比较。
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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