微型电脑应用2026，Vol.42Issue(7)：30-35,41,7.
基于改进哈里斯鹰算法的数字孪生变电站监控网络覆盖优化
Coverage Optimization of Digital Twin Substation Monitoring Network Based on Improved Harris Eagle Algorithm
摘要
Abstract
To improve the coverage performance of the digital twin substation monitoring network,a coverage optimization method for the digital twin substation monitoring network based on an improved Harris eagle algorithm is proposed.The objec-tive function for the monitoring network coverage of digital twin substations is to maximize the sum of coverage rate and repeat-ed sampling rate,and the constraints on network coverage are given.In order to improve the solving performance,tent chaotic mapping is introduced to generate the Harris eagle initialization population,and the golden sine algorithm is introduced to re-duce the search space of the Harris eagle algorithm and improve its convergence speed.An improved Harris eagle objective function solving algorithm is proposed.The verification is carried out on the Autodesk 3DS MAX platform.The results show that compared with manual experience,the coverage rate and repeated sampling rate of the proposed method increases by 17.53％and 30.71％respectively.Compared with the comparison method,the coverage rate increases by approximately 10％,and the repeated sampling rate increases by approximately 15％.From this,it can be concluded that the proposed method can sig-nificantly improve the network performance of the digital twin substation monitoring network and achieve coverage optimization of the digital twin substation monitoring network.关键词
改进哈里斯鹰算法/数字孪生/变电站/监控网络/覆盖率/重复采样率Key words
improved Harris eagle algorithm/digital twin/substation/monitoring network/coverage rate/repeated sampling rate分类
信息技术与安全科学引用本文复制引用
欧旋,林泽伟,章裕文,方丙涛,万华舰..基于改进哈里斯鹰算法的数字孪生变电站监控网络覆盖优化[J].微型电脑应用,2026,42(7):30-35,41,7.基金项目
深圳供电局科技项目(090000KK52222041) （090000KK52222041）
