电力系统自动化2018，Vol.42Issue(12)：64-71,121,9.DOI:10.7500/AEPS20171106005
基于支路潮流线性化方程的有序充电快速求解方法
Fast Solving Method of Ordered Charging Based on Linearized Equations of Branch Flow
摘要
Abstract
In order to elimate the disadvantages of low calculation efficiency of traditional ordered charging method and not taking the three-phase imbalance of distribution network,constraints of node voltage and branch power flow into account,the branch power flow equations of three-phase balanced and unbalanced distribution networks are derived.The linearization methods for the nonlinear terms of equations are proposed.The ordered charging model of electric vehicles is developed,which takes minimum charging cost of owners as obj ective function,takes node voltage,branch power and charging power as the inequality constraints,and takes branch power flow equations and charging demand as equality constraints.The solving method is proposed by using two-stage linear programming.The linear programming of the first stage calculates the estimated optimized active power ,reactive power and node voltage of the branch as linearized initial points of nonlinear terms for branch power flow equations by using simplified linear model,which ignores the nonlinear terms of branch power flow equations.The linear programming of the second stage calculates the optimal charging power by using the linearized branch power flow equations.The capabilities of the proposed method are verified by using three simulation cases compared with the selected methods.关键词
电动汽车/有序充电/配电网/支路潮流方程/线性规划Key words
electric vehicle/ordered charging/distribution network/branch power flow equation/linear programming引用本文复制引用
张剑,姚潇毅,尹柏强,何怡刚..基于支路潮流线性化方程的有序充电快速求解方法[J].电力系统自动化,2018,42(12):64-71,121,9.基金项目
国家自然科学基金资助项目(51577046) （51577046）
国家自然科学基金重点 项 目 (51637004 ) （51637004 ）
国 家 重 点 研 发 计 划 资 助 项 目(2016YFF0102200). This work is supported by National Natural Science Foundation of China(No.51577046),State Key Program of National Natural Science Foundation of China(No.51637004)and National Key R&D Program of China(No.2016YFF0102200). （2016YFF0102200）
