电源学报2025，Vol.23Issue(2)：115-124,10.DOI:10.13234/j.issn.2095-2805.2025.2.115
考虑灵活性资源的微电网双层优化策略
Two-layer Optimal Strategy for Microgrid Considering Flexible Resources
摘要
Abstract
To improve the capability of microgrid in coping with new energy output and load uncertainty,an optimal control strategy for microgrid considering flexible resources is proposed.According to the source-storage-load characteristics of various flexible resources,a two-layer optimal scheduling model for microgrid is established.In the user layer,user-side flexibility resources are introduced,with an optimization goal of minimizing the difference between user costs and net load and decision variables of electric vehicles and output power of translatable loads.In the source-storage layer model,flexible resources are added to the energy storage and power generation sides,with an optimization goal of minimizing the microgrid operators'cost and load loss rate and decision variables of gas turbines,main network tie-line and output power of energy storage unit.A case study based on scenario-reduced seasonal typical daily data is simulated,and the improved MOEA/D(multi-objective evolutionary algorithm based on decomposition)algorithm is used to solve the two-layer optimal scheduling model.Results show that the average annual user cost is reduced by 6.85%,the average annual total cost of operators is reduced by 14.68%,and the average annual load loss rate is reduced by 6.65%.The results verified the correctness and effectiveness of the proposed method.关键词
可再生能源/微电网/调度/灵活性资源/改进MOEA/D算法/多目标优化Key words
Renewable energy/microgrid/scheduling/flexible resource/improved MOEA/D algorithm/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
余运俊,杨林锋,哈志蕊,钟志萍,衷国瑛,龚海..考虑灵活性资源的微电网双层优化策略[J].电源学报,2025,23(2):115-124,10.基金项目
江西省重点研发计划资助项目(20214BBG74006) （20214BBG74006）
国家自然科学基金资助项目(61563034) （61563034）
国家国际科技合作专项资助项目(2014DFG72240)This work is supported by Jiangxi Province Key R&D Program Project under the grant 20214BBG74006 （2014DFG72240）
National Natural Science Foundation of China under the grant 61563034 （）
National Special Project for International Science and Technology Cooperation under the grant 2014DFG72240 （）
