摘要
针对高渗透光伏和电动汽车充电站大规模化并网引起的电压控制难题,首先构建了一个多目标无功优化模型,该模型旨在最小化配电网网损成本、电压越限风险以及电网脆弱性。其次,采用了一种融合交叉反馈机制的混合优化算法以求解该模型,并提出了一种基于Tent混沌映射与莱维飞行的改进蜉蝣算法(improved mayfly algorithm,IMA),以提升求解效率。最后,分析了不同光伏渗透率下对配电网无功优化结果的影响。仿真结果验证了所提出的模型能够有效降低系统网损成本和电压波动,同时增强系统的稳定性。
Addressing the voltage control challenges associated with the widespread integration of photovoltaic systems and electric vehicle charging stations,this study initiates the development of a multi-objective reactive power optimization model.This model is designed to minimize network loss costs,voltage violation risks,and grid vulnerability within the distribution network.Subsequently,a hybrid optimization algorithm with a cross-feedback mechanism is employed to effectively address and solve this complex model.Furthermore,an enhanced firefly algorithm,based on Tent chaotic mapping and Levy flights,is introduced to improve the efficiency of the solution.Finally,an analysis is conducted to assess the impact of varying PV penetration rates on the results of reactive power optimization in the distribution network.Simulation results illustrate that the proposed model significantly reduces system network loss costs and voltage fluctuations while concurrently improving overall system stability.
作者
朱晓春
张金江
毕水仙
吴东诚
吴亚钧
ZHU Xiaochun;ZHANG Jinjiang;BI Shuixian;WU Dongcheng;WU Yajun(School of Automation and Electrical Engineering,Zhejiang University of Science and Technology,Hangzhou 310023,China)
出处
《供用电》
北大核心
2024年第12期110-120,共11页
Distribution & Utilization
基金
浙江省自然科学基金项目(LZ14E070001)。
关键词
配电网
高渗透光伏
电动汽车
无功优化
混合优化算法
distribution network
high penetration photovoltaics
electric vehicle
reactive power optimization
hybrid optimization algorithm
