摘要
为了合理地规划分布式电源(DG)接入位置和容量,构建了DG配置结构优化的多功能计算模型。以综合投资费用最小为目标,从发电费用、网络损失费用和DG环境保护费用这三个独立角度来分析配电网中接入DG的配置结构优化问题。模型引入适用遗传算法(GA)的改进自适应布谷鸟搜索(IACS)算法,形成了改进的自适应布谷鸟搜索遗传算法(IACS-IGA)混合策略,来提高GA后期的寻优精度。通过IEEE-33节点算例验证,比较不同算法下的仿真结果,证明了此改进算法在解决DG配置结构优化问题中的有效性和优势。
In order to plan the access location and capacity of distributed generation(DG)reasonably,a multi-functional computing model for optimizing the configuration structure of DG is constructed.To minimize the comprehensive investment cost,the configuration structure optimization of access DG in a distribution network is analyzed from three independent perspectives of power generation cost,network loss cost,and DG environmental protection cost.The improved adaptive Cuckoo search(IACS)algorithm applied to a genetic algorithm(GA)is introduced into the model,and an improved hybrid strategy of adaptive Cuckoo search and Genetic algorithm(IACSIGA)is formed to improve the optimization accuracy in the later stage of GA.Through the verification of IEEE-33 node examples,the simulation results under different algorithms are compared,and the effectiveness and advantages of the improved algorithm in solving the structure optimization problem of DG allocation are proved.
作者
李磊
高桂革(指导)
LI Lei;GAO Guige(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)
出处
《上海电机学院学报》
2022年第5期249-253,共5页
Journal of Shanghai Dianji University
基金
国家自然科学基金项目(61973209)。
