基于粗糙集理论和遗传算法的接地网安全状态评估  

Safety State Evaluation of Earthing Network Based on Rough Set Theory and Genetic Algorithm

作　　者：段启凡 杨桐 DUAN Qifan;YANG Tong

机构地区：[1]中国铁路设计集团有限公司 [2]国网青海省电力公司经济技术研究院

出　　处：《电气化铁道》2022年第3期34-37,共4页Electric Railway

基　　金：中国铁路设计集团有限公司“牵引供电系统接地与电磁兼容工程优化技术研究”(2021A240807)。

摘　　要：接地网是保障电力系统安全可靠运行的重要环节,对接地网安全状态的准确评估至关重要。以往接地网安全性分级仅凭经验确定,安全性评估只考虑单一特性参数是否满足规定限值。本文提出基于粗糙集理论和遗传算法的接地网安全状态评估方法,应用粗糙集理论计算各特性参数的综合权重,利用线性加权法得出接地网状态的综合评估结果;建立最大接触电压值达到最小的目标函数,并利用遗传算法求取最优解,达到均匀地表电位分布、降低最大接触电位差的目的。The earthing network is an important link to ensure the safe and reliable operation of electric power system,and the accurate evaluation of the safety state of earthing network is very important.In the past,the safety classification of earthing network was determined only by experience,and the safety evaluation only considered whether a single characteristic parameter meets the specified limit.The paper proposes a safety state evaluation method of earthing network based on rough set theory and genetic algorithm,calculates the comprehensive weight of each characteristic parameter by using rough set theory,and obtains the comprehensive evaluation result of earthing network state by using linear weighting method.The paper establishes maximum contact voltage value to reach minimum objective function and obtains the optimal solution by using of genetic algorithm,so as to achieve the purpose of uniform surface potential distribution and reducing the maximum contact potential difference.

关 键 词：接地网 粗糙集理论 权重确定 云遗传算法 综合评估 

分 类 号：U224.25[交通运输工程—道路与铁道工程]