基于改进飞蛾算法的供电网负荷均衡智能调度  

Intelligent scheduling of load balancing in power supply network based on improved moth algorithm

作　　者：李逸超 郭睿 胥栋 姚孟阳 单小伟 LI Yichao;GUO Rui;XU Dong;YAO Mengyang;SHAN Xiaowei(State Grid Shanghai Pudong Electric Power Supply Company Co.,Ltd.,Shanghai 200082,China;Beijing WellsTech Limited Co.,Ltd.,Beijing 100085,China)

机构地区：[1]国网上海市电力公司浦东供电公司,上海200082 [2]北京慧和仕科技有限责任公司,北京100085

出　　处：《粘接》2024年第11期155-158,共4页Adhesion

摘　　要：由于用户用电负荷特征不同,如果调度不合理则会导致电力资源被大量浪费,为此,提出基于差分进化飞蛾算法的供电网负荷均衡调度研究。通过分析传输链路中关键节点的运行情况,对传输链路节点负载进行计算,当共用节点负载大于节点最大传输负载时,需要进行均衡调度。根据均衡调度判断结果,采用差分进化飞蛾算法找到火焰的最优位置以及对应的适应度值,即供电网调度的最优结果。实验结果表明,所建系统具有更加优秀的搜索能力和收敛能力,对于大功率电力资源依然可以实现均衡调度,且不会出现链路节点拥堵的情况。Due to the different characteristics of users’electricity loads,if the scheduling is not reasonable,it will lead to a large amount of waste of electricity resources.Therefore,a study on load balancing scheduling of power supply networks based on differential evolution moths algorithm was proposed.By analyzing the operation of key nodes in the transmission link,the load of the transmission link nodes was calculated.When the load of shared nodes exceeded the maximum transmission load of nodes,balanced scheduling was required.Based on the balanced scheduling judgment results,the differential evolution moth algorithm was used to find the optimal position of the flame and the corresponding fitness value,which was the optimal result of power grid scheduling.The experimental results showed that the built system had better search and convergence capabilities,and could still achieve balanced scheduling for high-power power resources without congestion of link nodes.

关 键 词：改进飞蛾算法 负荷均衡智能调度 传输链路 检修申请 螺旋函数 

分 类 号：TM714[电气工程—电力系统及自动化] TP311[自动化与计算机技术—计算机软件与理论]