Research on optimization of recloser placement of DG-enhanced distribution networks

2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies Pub Date : 2008-04-06 DOI:10.1109/DRPT.2008.4523848

Zhang Li, Xu Yuqin, Zengping Wang

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引用次数: 16

Abstract

An optimization method is proposed to identify the optimum recloser placement to improve system reliability for distribution networks with distributed generators (DG). DG may reduce the number of interruptions and/or durations for customers residing within their protection zones, thus increasing the reliability of service. A composite reliability index is defined as the objective function in the optimization procedure. Then, the zone-network method is introduced for reliability evaluation. An improved genetic algorithm that named multiple-population genetic algorithm (MPGA) is used to search for the optimum solutions. Using the MPGA, the optimization can be solved with mutli-population, and the influence of improper genetic parameters can be greatly decreased and premature convergence can be overcome effectively. Simulation work is carried out based on a 69-segment 8-lateral distribution feeder with distributed generation to validate the effectiveness of the proposed method.

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dg增强型配电网重合闸布局优化研究

为了提高分布式发电机配电网的可靠性，提出了一种确定最佳重合闸位置的优化方法。DG可减少居住在其保护区内的客户的中断次数和/或持续时间，从而提高服务的可靠性。在优化过程中定义了一个复合可靠度指标作为目标函数。然后，引入区域网络法进行可靠性评估。采用一种改进的遗传算法——多种群遗传算法(MPGA)来寻找最优解。利用MPGA算法可以求解多种群优化问题，大大降低了遗传参数不合理的影响，有效地克服了早熟收敛问题。以具有分布式发电功能的69段8侧向馈线为例进行了仿真，验证了所提方法的有效性。

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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来源期刊

2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

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