计算机应用研究2023，Vol.40Issue(12)：3723-3727,5.DOI:10.19734/j.issn.1001-3695.2023.02.0110
无人机辅助智能电网故障终端数据采集优化策略
Optimal UAV assisted for failure terminal data collection strategy of smart grid
摘要
Abstract
With the widespread use of various types of clean energy sources such as photovoltaic,supported by mobile edge computing technology,UAVs are always used to perform data collection for the outdoor power grid terminals.However,the substantial growing of the number of terminals to be collected and the limited energy and dynamic flight of UAVs,make it is difficult for UAVs to obtain the accurate locations of all terminals quickly.Therefore,this paper designed an optimal UAV-assisted mass terminal data collection strategy based on edge computing.This work constructed a location error model based on random distribution,and designed a joint optimization strategy for the UAV flight trajectory and the task transmission of the grid devices to be collected.For the problem solution,it used the Bernstein-type inequalities to relax the variables to eliminate the influence caused by the probability distribution of device locations,and then solved the trajectory planning of the UAV by using continuous convex approximation.The simulation results show that under the proposed strategy,the UAV is closer to the smart grid failure terminal device,and the data collection time is longer and accuracy is higher.关键词
智能电网/海量终端/边缘计算/无人机/最优化Key words
smart grid/massive terminals/edge computing/UAV/optimization分类
信息技术与安全科学引用本文复制引用
聂涌泉,李建设,何宇斌,马光,周华锋,王晓琳,张仕鹏..无人机辅助智能电网故障终端数据采集优化策略[J].计算机应用研究,2023,40(12):3723-3727,5.基金项目
国家自然科学基金联合基金资助项目(U1911401) （U1911401）
南方电网公司科技项目(000000KK52200035) （000000KK52200035）
