湖北民族大学学报（自然科学版）2025，Vol.43Issue(1)：101-107,125,8.DOI:10.13501/j.cnki.42-1908/n.2024.12.021
基于改进HHO算法的集中式光伏组件运维成本优化
Optimization of Operation and Maintenance Cost for Centralized Photovoltaic Modules Based on Improved HHO Algorithm
摘要
Abstract
To address the problems of excessive expenditure of labor cost,increased cost of power generation loss,and increased failure rate due to untimely maintenance under the regular maintenance strategy of centralized photovoltaic systems,an operation and maintenance model with the minimum daily average operation and maintenance cost as the objective function was constructed,and the objective function was iterated and optimized using the improved Harris hawks optimization(HHO)algorithm to find the optimal solution.The population was initialized by the good point set and quantum computation to improve the quality and diversity of the population and accelerate the convergence speed;the prey escape energy parameter was optimized by using the segmented nonlinear mapping function to increase the possibility of global exploration at the later stage of the iteration;the multi-exploration mechanism and quasi-reverse learning method of the sticky fungus optimization algorithm were combined to enhance the algorithm′s ability to explore the global range;the algorithm was prevented from falling into the local.The results showed that the improved HHO algorithm reduces the average daily operation and maintenance cost by 14.40%compared to the traditional periodic maintenance scheme,and reduced the number of convergence iterations by 13.24%compared to the original HHO algorithm.The study has certain reference value for reducing the operation cost of photovoltaic power plants,and has a positive effect on improving the economic benefits of photovoltaic power plants and promoting the development of intelligent photovoltaic power plants.关键词
时变周期运维/佳点集/量子计算/准反向学习/高斯差分变异Key words
time-varying cycle operation and maintenance/good point set/quantum computing/quasi-reverse learning/Gaussian difference variation分类
信息技术与安全科学引用本文复制引用
曾晓龙,黄勇,刘泽纬,官洲洋,谭杭,陈进财..基于改进HHO算法的集中式光伏组件运维成本优化[J].湖北民族大学学报（自然科学版）,2025,43(1):101-107,125,8.基金项目
教育部产学研创新基金项目(2021RYC06004). （2021RYC06004）
