Differential evolution algorithm based on entropy weight method to determine the weight to optimize the configuration of wind, solar, and diesel microgrid

作     者：Yongchen Xing Qing Duan Guobao Zhang Chunyan Ma Wen Long Liu 

作者机构：Key Laboratory of Measurement and Control of Complex Systems of Engineering and School of Automation Southeast University Nanjing 210096 China) China Electric Power Research Institute Co. Ltd. Beijing 100192 China) State Grid Shanghai Energy Interconnection Research Institute Co. Ltd. Shanghai 201203 China) 

出 版 物：《Journal of Physics: Conference Series》 

年 卷 期：2021年第1871卷第1期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：In order to enhance the stable operation of the multi-energy complementary microgrid for wind, solar, and diesel storage, reduce operating costs, and solve the problems of large randomness, low accuracy, and slow convergence of traditional microgrid optimization multi-objective decision-making, a differential evolution based on the entropy weight method to determine the weight is proposed. Firstly, we establish a microgrid integrated energy model from the perspectives of system operation stability, economy and environmental protection; combined with the Pareto optimal solution set, multi-objectives are weighted according to the entropy weight method, and the multi-objective optimization problem is transformed into single-objective optimization The problem is to avoid artificial setting of weight factors; the calculation example shows that this method is more economical and reasonable in optimization results, and provides an economic, reliable and environmentally friendly microgrid configuration strategy for users to increase power capacity.