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作 者:周强辅 廖如超 廖建东 李成功[2] ZHOU Qiangfu;LIAO Ruchao;LIAO Jiandong;LI Chenggong(Machine patrol management center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510160,China;North China Institute of computing technology,Beijing 100083,China)
机构地区:[1]广东电网有限责任公司机巡管理中心,广州510160 [2]华北计算技术研究所,北京100083
出 处:《计算机测量与控制》2022年第5期163-168,共6页Computer Measurement &Control
摘 要:目前,大多数国家电网公司仍采用“人巡+机巡”协调定期检查的方式对输电线路进行维护;定期检验计划由人工安排,耗费大量人力物力;为了解决上述问题,提出电力网络机巡智能调度编排系统设计,考虑到各城市年检的个性化需求,将年检计划的调度问题转化为NP问题,采用禁忌搜索算法结合遗传算法实现年检计划的智能调度;通过仿真实验验证了算法的可行性,证明了禁忌搜索算法与遗传算法的结合可以有效提高机器巡更网格的效率。At present,most State Grid Corporations still adopt the way of“Man Patrol+Machine Patrol”coordinated regular inspection to maintain the transmission line.The regular inspection plan is still manually arranged,which consumes a lot of manpower and material resources.In order to solve above problems,the design of intelligent dispatching and scheduling system for power network machine patrol is proposed.Considering the personalized needs of each city's annual inspection,the scheduling of inspection plan is transformed into the NP problem,and the tabu search algorithm combined with the genetic algorithm is used to realize the intelligent scheduling of inspection plan.The feasibility of algorithm is verified by the simulation experiment,the combination between the tabu search algorithm and the genetic algorithm is proved to effectively improve the efficiency for the Machine Patrol grid.
关 键 词:电力巡检计划编排 NP问题 智能编排 遗传算法 禁忌搜索
分 类 号:TM715[电气工程—电力系统及自动化]
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