基于鲸鱼群算法的交直流混联系统无功电压控制方法研究  

Research on the Reactive Power and Voltage Control Method for AC-DC Hybrid Systems Based on the Whale Swarm Algorithm

作　　者：薛成 曹戈 王争冕 马喜平[1,2] XUE Cheng;CAO Ge;WANG Zhengmian;MA Xiping(Xi’an University of Technology,Xi’an 710048,Shaanxi,China;Electric Power Research Institute,State Grid Gansu Electric Power Company,Lanzhou 730070,Gansu,China)

机构地区：[1]西安理工大学,陕西西安710048 [2]国网甘肃省电力公司电力科学研究院,甘肃兰州730070

出　　处：《电网与清洁能源》2023年第9期67-73,共7页Power System and Clean Energy

基　　金：国家自然科学基金项目(52009106)。

摘　　要：高效安全地实现交直流混联系统降损与电压控制受到广泛关注,以网络损耗或电压偏移量为单一目标的传统的无功优化模型不能精确反映电网的安全性和经济性。该文针对交直流混联系统,建立了兼顾网络损耗和电压偏差的多目标无功电压控制优化模型,提出一种基于传统的鲸鱼算法(whale optimization algorithm,WOA)与粒子群(particle swarm optimization,PSO)相结合的鲸鱼群(WOA-PSO)模型求解算法。通过引入基于鲸鱼算法的包围策略,加速粒子群的迭代搜索过程,从而提高算法的全局优化能力;通过算例验证,并与基本粒子群算法、鲸鱼算法对比分析,说明所提方法具有良好的收敛性和寻优能力。The traditional reactive power optimization model with a single objective of network loss or voltage deviation fails to accurately reflect the safety and economy of the grid.This paper establishes a multi-objective reactive voltage control optimization model for hybrid AC-DC systems that takes into account network losses and voltage deviations.A Whale Swarm Optimization algorithm(WOA-PSO)based on the combination of traditional whale optimization algorithm(WOA)and particle swarm optimization(PSO)is proposed.The proposed method has good convergence and optimization-seeking capability through the introduction of a whale algorithm-based bracketing strategy to accelerate the iterative search process of the particle swarm,thereby improving the global optimization capability of the algorithm.The proposed method is validated by arithmetic examples and compared with the basic particle swarm algorithm and the whale algorithm.

关 键 词：交直流系统 多目标无功优化 网损 电压控制 鲸鱼群算法 

分 类 号：TM72[电气工程—电力系统及自动化]