基于增强免疫算法的电力系统故障区段估计

Shyh-Jier Huang, Xian-Zong Liu
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引用次数: 0

摘要

本文提出了一种增强免疫算法(EIA)来解决故障段估计问题。该方法通过模拟免疫系统中抗体和抗原之间的关系,增加了疫苗接种过程,以期进一步提高计算性能,解决故障段估计问题。为了验证这种方法的有效性,通过一个样本系统和一个实际系统对该方法进行了测试,并与其他已发表的技术进行了比较。试验结果表明了该方法的可行性,同时也证实了该方法对配电网维修工作的预警辅助作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault section estimation in power systems using enhanced immune algorithm
An enhanced immune algorithm (EIA) is proposed to solve the fault section estimation problem in this paper. By simulating the relationships between antibody and antigen in the immune system, the proposed method has added the vaccine inoculation process in anticipation of further improving the computation performance to solve the fault section estimation problems. In order to validate the effectiveness of such an approach, the method has been tested through a sample systems and a real system with comparisons to other published techniques. From the test results, they reveal the feasibility of the method, meanwhile confirming the method as a forewarning aid to distribution maintenance work.
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