综合智慧能源2025，Vol.47Issue(9)：71-79,9.DOI:10.3969/j.issn.2097-0706.2025.09.008
基于改进DE算法的园区微电网风光储优化配置
Optimized wind-solar-storage configuration of industrial park microgrids based on improved differential evolution algorithm
摘要
Abstract
To address the limitations of traditional differential evolution(DE)algorithms—susceptibility to local optima and weak physical interpretability—in the optimal configuration of wind-solar-storage systems in multi-park microgrids,an optimization framework integrating an improved DE algorithm with physical mechanisms was proposed.A wind-solar-storage configuration model was established with the objective of minimizing daily power supply costs,incorporating constraints on energy storage charging/discharging efficiency and state of charge.A triple-adaptive improved DE algorithm was designed:a dual-phase linear decay mechanism was used to adjust the scaling factor and crossover probability,an elite historical experience reuse strategy was integrated to enhance convergence speed,and a dual-mode oscillatory disturbance was introduced to increase population diversity.From the physical essence of source-load matching,the intrinsic patterns between energy storage configuration and wind-solar load curves were analyzed.Case studies showed that:the improved DE algorithm outperformed traditional DE,particle swarm optimization,and genetic algorithms,reducing the joint operating costs to 15 424.06 yuan;the joint operation reduced the power supply cost by 6.11%compared to the sum of independent operations and saved 30.77%of total energy storage power and 50.00%of capacity,with wind and solar curtailment reduced to zero;energy storage configuration followed a universal pattern that the power rating was determined by the maximum single-interval curtailment,and the capacity was determined by the maximum consecutive curtailment.Based on this,the physical estimation scheme for Park B reduced the coet to 5 065.43 yuan,which was lower than the result obtained by the optimization algorithm(5 066.22 yuan).By combining algorithm improvement with the exploration of physical patterns,a high-precision and strongly interpretable solution for the optimal configuration of wind-solar-storage systems is provided.关键词
风光储微电网/协同调度/储能配置/改进差分进化算法Key words
wind-solar-storage microgrid/coordinated scheduling/energy storage configuration/improved differential evolution algorithm分类
能源科技引用本文复制引用
张元曦,杨国华,马龙腾,马鑫,刘耀泽..基于改进DE算法的园区微电网风光储优化配置[J].综合智慧能源,2025,47(9):71-79,9.基金项目
宁夏自然科学基金项目(2023AAC03853) （2023AAC03853）
宁夏大学研究生创新项目(CXXM2025087)Ningxia Natural Science Foundation Project(2023AAC03853) （CXXM2025087）
Ningxia University Graduate Innovation Project(CXXM2025087) （CXXM2025087）
