基于自适应粒子群优化算法的有源配电网多目标动态无功优化  

Multi-objective Dynamic Reactive Power Optimization of Active Distribution Network Based on Adaptive Particle Swarm Optimization Algorithm

作　　者：葛朝晖 王颖 刘梦怡 齐晓光 林榕 徐正阳 GE Zhaohui;WANG Ying;LIU Mengyi;QI Xiaoguang;LIN Rong;XU Zhengyang(Economic and Technological Research Institute,State Grid Hebei Electric Power Supply Co.,Ltd,Shijiazhuang 050011,China;Key Laboratory of Smart Grid of Ministry of Education(Tianjin University),Tianjin 300072,China)

机构地区：[1]国网河北省电力有限公司经济技术研究院,石家庄050011 [2]智能电网教育部重点实验室(天津大学),天津300072

出　　处：《电力系统及其自动化学报》2018年第11期44-51,共8页Proceedings of the CSU-EPSA

基　　金：国家重大科学仪器设备开发专项项目(2013YQ03091510)

摘　　要：为解决负荷变动条件下电容器组和分布式电源的协调优化问题,提出了一种新的配电网动态无功优化方法。首先,建立了分布式电源及负荷的随机模型,通过蒙特卡罗模拟抽样,得到24 h的分布式电源出力曲线和负荷变化曲线,研究了基于半不变量法的随机潮流分析方法;其次,以分布式电源投资效益和网络有功损耗为目标函数,建立了有源配电网多目标动态无功优化模型;然后,基于分布熵的自适应粒子群算法,提出了模型的求解方法与流程;最后,通过算例验证了所提方法的有效性和实用性。To solve the coordination and optimization problem of capacitor bank and distributed generation(DG)under load variation,a novel dynamic reactive power optimization method for distribution network is proposed.Firstly,a stochastic model of DG and load is established,and a 24 h DG output curve and a load variation curve are obtained by Monte Carlo simulation sampling;in addition,a stochastic power flow analysis method based on semi-invariant method is studied.Secondly,with the investment benefit of DG and network active loss as objective functions,a multi-objective dynamic reactive power optimization model of active distribution network is established;afterwards,an adaptive particle swarm optimization algorithm based on distribution entropy is proposed to solve the model and present the corresponding flow chart.Finally,an example is given to verify the effectiveness and practicality of the proposed method.

关 键 词：动态无功优化 多目标 自适应粒子群优化算法 分布式电源 

分 类 号：TM315[电气工程—电机]