基于边缘计算的县域分布式光伏智能巡检方法

County Distributed Photovoltaic Intelligent Inspection Based on Edge Computing

针对无人机等智能终端面临的计算资源有限和高能耗导致智能巡检技术应用受限的问题,提出了一种基于边缘计算的县域分布式光伏智能巡检方法,以最小化智能终端能耗为目标建立边缘计算任务卸载优化模型,基于一种改进的粒子群优化算法,获得能耗优化的卸载方案。仿真实验表明当终端数分别设置为60、80、100时,改进的粒子群算法对能耗的优化性能分别提高了4.99%,7.42%,5.22%。

County distributed photovoltaic is a key link in the national energy structural construction.The intelligent operation and maintenance needs of distributed photovoltaic power stations are increasing,and intelligent terminal inspection such as distributed photovoltaic drones is facing limited computing power and high energy consumption problems,resulting in many intelligent measures limited.Therefore,this paper focuses on the research of the county distributed photovoltaic intelligent inspection method based on edge computing,and builds the energy consumption optimization model of edge computing intelligent unloading with the goal of optimizing the energy consumption of intelligent terminals.This problem is a mixed integer nonlinear programming problem and a NP-hard problem.In order to solve this problem,an improved particle swarm optimization algorithm is proposed to obtain an energy-optimized unloading scheme.The simulation results show that when the terminal number is set to 60,80 and 100 respectively,the improved PSO improves the energy consumption optimization performance by 4.99%,7.42%and 5.22% respectively.