分布式能源2025，Vol.10Issue(1)：91-100,10.DOI:10.16513/j.2096-2185.DE.(2025)010-01-0091-10
基于改进哈里斯鹰优化算法的微电网多目标优化调度
Multi-Objective Optimal Scheduling of Microgrid Based on Improved Harris Hawks Optimization Algorithm
摘要
Abstract
A microgrid model is established to address the optimization and scheduling of microgrid in the context of new energy generation access and demand response.The objective function is constructed to consider the user's electricity discomfort caused by demand response and the operating cost of the system,and the user's transferable load is adjusted.Based on the randomness and volatility of wind and solar power output,the fuzzy K-means algorithm is used to cluster the wind and solar power output data and obtain typical wind and solar power output curves.Next,this paper improves the Harris hawks optimization(HHO)algorithm to address the issues of uneven population distribution and susceptibility to local optima.Firstly,Tent mapping is introduced in the initialization stage of the population to make the initial population coverage more comprehensive and avoid falling into local optima in the early stage.Then,Levy flight function is introduced in the search stage to enhance the global search ability of the algorithm.Finally,improved HHO(IHHO)algorithm is applied to optimization and compared with classical algorithms.The final results validate the effectiveness of the proposed strategy and the superiority of the IHHO algorithm.关键词
微电网/需求响应/改进哈里斯鹰优化(IHHO)算法/Levy飞行/优化调度Key words
microgrid/demand response/improved Harris hawks optimization(IHHO)algorithm/Levy flight/optimal scheduling分类
能源与动力引用本文复制引用
王鑫,李升..基于改进哈里斯鹰优化算法的微电网多目标优化调度[J].分布式能源,2025,10(1):91-100,10.基金项目
江苏省级产教融合型品牌专业建设项目(苏教办高函[2023]16号) This work is supported by Jiangsu Provincial Level Combination of Production and Teaching Brand Specialty Construction Project(The Letter of Higher Education from Jiangsu Education Department[2023]No.16) （苏教办高函[2023]16号）
