【摘要】 在详细分析了分布式电源特性和优化目标数学模型的基础上,针对微电网中分布式电源出力的优化管理,提出了一种基于小生境进化的多目标免疫算法。该算法将优化的多目标函数作为抗原,优化问题的可行解作为抗体,构造多个小生境以增强抗体种群的多样性并保存优良抗体。在小生境进化过程中,依据抗体对抗原的适应度以及抗体之间的亲和力对可行解进行评价和选择,反复通过选择、交叉、变异等操作完成对最优解的搜索。应用此算法对一个微电网的多个分布式电源进行能量管理,通过与其他优化算法的比较证明了该算法的有效性。更多还原

【Abstract】 To carry out the optimal management of the distributed generation,this paper presents a multi-objective niche evolutionary immune algorithm(MO-NEIA) based on detailed analysis of the distributed generations’ characteristics and the optimization objectives’ math models.The algorithm,using the objective function as antigen and the solution of the problem as antibody,builds some niches to enhance the variability of the antibody and restore the good antibody.In the process of niche evolution,the optimal solution can be obtained through the antibodies selection,crossover and mutation according to the affinity between antibody with antigen and the affinity between antibodies.The proposed algorithm is applied to the management of the distributed generations in a microgrid system and the results compared to another optimal algorithm demonstrate its feasibility.This project is supported by State 863 High-tech program(No.2007AA05Z458)and National Natural Science Foundation of Shanghai(No.08ZR1409700).更多还原