基于改进蚁狮算法的含分布式电源配电网无功优化  

Reactive Power Optimization of Distribution Network with Distributed Generation Based on Improved Ant Lion Algorithm

作　　者：张萍[1] 张高帅 ZHANG Ping;ZHANG Gaoshuai(Lanzhou University of Technology,Lanzhou 730050)

机构地区：[1]兰州理工大学,兰州730050

出　　处：《计算机与数字工程》2025年第3期643-647,共5页Computer & Digital Engineering

摘　　要：论文提出了一种改进蚁狮算法来求解含分布式发电(Distributed Generation,DG)的配电网无功优化问题。在原始蚁狮算法(Ant Lion Algorithm)的基础上加入Cubic映射,利用混沌搜索遍历性、均匀性和确定性的特点,使用混沌搜索优化适应度较差的蚁狮,提高蚁狮的适应度,加快算的收敛速度,减小算法陷入局部最优的可能性;同时在蚂蚁随机游走的过程中,引入动态权重系数,提高种群的随机性以及局部收敛能力。使用Matlab软件对IEEE33节点配电系统进行仿真,仿真结果印证了改进算法的有效性。This paper presents an improved ant lion algorithm to solve the reactive power optimization problem of distribution network with distributed generation(DG).Based on the original ant lion algorithm,Cubic mapping is added.Using the ergodicity,uniformity and certainty of chaotic search,chaos search is used to optimize the ant lion with poor fitness,improve the fitness of the ant lion,speed up the convergence speed of the algorithm,and reduce the possibility of the algorithm falling into local optimization.At the same time,in the process of ant random walk,dynamic weight coefficient is introduced to improve the randomness and local convergence ability of the population.Matlab software is used to simulate the IEEE33 node distribution system,and the simulation results confirm the effectiveness of the improved algorithm.

关 键 词：蚁狮算法 分布式电源 Cubic映射 动态权重系数 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]