摘要
为应对分布式电源对配电网带来的变化,寻求更好的电能质量和网络损耗,以网损为目标函数,建立配电网重构数学模型。针对遗传算法的早熟现象和蚁群算法前期寻优速度慢的劣势,将遗传算法和蚁群算法进行融合,利用遗传算法快速全局寻优能力为蚁群算法提供所需的信息素对配电网重构问题进行寻优求解。为了克服二进制编码在处理配电网闭环建造,开环运行时带来维数灾,运用基于环网的自然数编码方式,通过节点度的大小来判断配电网的拓扑可行性。将含分布式电源接入IEEE33节点系统进行仿真,结果表明该算法具有较好的全局寻优能力和快速收敛速度。
A mathematical model of distribution network reconfiguration is established,which takes the network loss as the objective function,so as to cope with the changes brought by the distributed power supply to the distribution network and seek better power quality and network loss.In allusion to the premature phenomenon of genetic algorithm and the disadvantage of slow finding optimum speed of ant colony algorithm in the early stage,the genetic algorithm and ant colony algorithm are fused,and the fast global optimization ability of genetic algorithm is utilized to provide the pheromone needed for ant colony algorithm,so as to find the optimum solution for the distribution network reconfiguration problem.In order to overcome the dimension disaster caused by binary coding when it is used to deal with closed loop construction and open loop operation of distribution network,the topological feasibility of distribution network is judged with the size of the node degree by means of the natural number encode method based on looped network.The distributed power supply is connected to IEEE33 node system for the simulation,and the simulation results show that the algorithm has good global optimization ability and fast convergence speed.
作者
杨铭
刘建辉
YANG Ming;LIU Jianhui(School of Mechanical and Electrical Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China)
出处
《现代电子技术》
北大核心
2020年第2期128-132,共5页
Modern Electronics Technique
基金
国家自然科学基金资助项目(51475352)
关键词
配电网重构
蚁群算法
分布式电源
全局寻优
自然数编码
仿真验证
distribution network reconfiguration
ant colony algorithm
distributed power
global optimization
natural number encode
simulation verification
