摘要
针对大量的间歇性分布式电源接入配电网带来的无功优化问题,提出基于高斯变异和混沌扰动的人工蜂群算法求取最优解。首先,建立以系统运行成本最小、有功网损最小、电压偏差最小的多目标无功优化模型;然后利用所提优化算法对模型求解,该算法利用了高斯变异搜索能力强、精度高的特点,加入混沌扰动,在提高算法鲁棒性的同时,克服了个体易陷入局部最优的不足。最后,以改进的IEEE-33节点系统进行分析,并与传统人工蜂群算法对比,表明所提算法收敛速度更快、搜索精度更高、运行稳定性更好,能够有效降低系统运行成本与网络损耗。
In the light of the reactive power optimization problem caused by a large number of distribution network-connected distributed generations(DGs)with intermittency,the paper proposes an artificial bee colony algorithm based on Gaussian mutation and chaotic perturbation to obtain the optimal solution.Firstly,a multi-objective reactive power optimization model is established with minimum system operating cost,minimum active network loss and minimum voltage deviation as objective function.Then the proposed algorithm is used to solve the model,utilizing the Gaussian mutation with strong searching ability and high precision.Furthermore,the algorithm is combined with the chaotic perturbation to improve the robustness and overcome the shortcomings of being easy to fall into a local optimum.Finally,the simulation with IEEE 33-node system and the comparison with the traditional artificial bee colony algorithm shows that the proposed algorithm has faster convergence speed,higher search accuracy and better running stability,and can reduce the cost of the system operating cost as well as network loss.
作者
陈国发
张文庆
刘锋
樊尚明
张永年
吴丽珍
CHEN Guofa;ZHANG Wenqing;LIU Feng;FAN Shangming;ZHANG Yongnian;WU Lizhen(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China;State Grid Wuwei Power Supply Company,Wuwei 737000,China)
出处
《智慧电力》
北大核心
2019年第3期97-103,共7页
Smart Power
基金
国家自然科学基金项目(51467009)
兰州市科技计划项目(2016-3-67)~~
关键词
多目标无功优化
混合无功补偿
改进蜂群算法
配电网
分布式发电
multi-objective reactive power optimization
hybrid reactive compensation
improved bee colony algorithm
distribution network
distributed generation
