含新能源和电动汽车充电站并网的主动配电网无功优化模型  

Reactive Power Optimization Model of Active Distribution Network with New Energy and Electric Vehicle Charging Stations

作　　者：江智军[1] 袁轩 邱文浩 黄礼才 何伟 JIANG Zhijun;YUAN Xuan;QIU Wenhao;HUANG Licai;HE Wei(School of Information Engineering,Nanchang University,Nanchang 330000,China;Electric Power Research Institute,State Grid Jiangxi Electric Power Co.,Ltd,Nanchang 330000,China)

机构地区：[1]南昌大学信息工程学院,南昌330000 [2]国网江西省电力科学研究院,南昌330000

出　　处：《电力系统及其自动化学报》2024年第2期116-125,共10页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金资助项目(61963026)。

摘　　要：针对新能源和电动汽车充电站规模化并网引起的无功优化问题,首先建立以主动配电网运行成本和电压偏差最小,系统稳定性最优的多目标无功优化模型。其次,基于PV曲线上、下半支解的接近程度,提出一种新的静态电压稳定性指标,以改善系统电压稳定性。最后,采用具有交叉反馈机制的混合优化算法对模型进行求解,并提出一种基于Tent混沌映射和自适应变异算子的改进飞蛾扑火算法提高求解效率。仿真结果表明,所提模型在降低系统运行成本,减少电压波动的同时,还能提高系统稳定性,且该混合优化算法能够快速、准确地求解混合整数的非凸、非线性优化模型。A multi-objective reactive power optimization model is established at first to reduce the operating costs and voltage deviation of active distribution network and to optimize the system stability in response to the reactive power opti⁃mization problem brought by the large-scale grid connection of new energy and electric vehicle charging stations.Then,based on the degree of closeness between solutions corresponding to the PV curve’s upper and lower branches,a novel static voltage stability index is proposed to enhance the voltage stability of the system.Finally,a hybrid optimization al⁃gorithm with a cross feedback mechanism is employed to solve the model,and an improved moth flame optimization al⁃gorithm based on Tent chaotic mapping and an adaptive mutation operator is put forward to improve the solving efficien⁃cy.Simulation results show that the proposed model can not only lower the system’s operating costs and voltage fluctua⁃tions,but also increase its stability.In addition,this hybrid optimization algorithm is capable of solving mixed integer nonconvex and nonlinear optimization models rapidly and accurately.

关 键 词：新能源 电动汽车 无功优化 主动配电网 混合优化算法 

分 类 号：TM727[电气工程—电力系统及自动化]