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基于两阶段规划法的有源配电网综合电压优化控制
引用本文:陶顺,骆晨,薛佳佳,肖湘宁,陈罡.基于两阶段规划法的有源配电网综合电压优化控制[J].电力系统自动化,2015,39(20):54-59.
作者姓名:陶顺  骆晨  薛佳佳  肖湘宁  陈罡
作者单位:华北电力大学电气与电子工程学院, 北京市 102206,华北电力大学电气与电子工程学院, 北京市 102206,国网江苏省电力公司连云港供电公司, 江苏省连云港市 222000,华北电力大学电气与电子工程学院, 北京市 102206,华北电力大学电气与电子工程学院, 北京市 102206
基金项目:国家自然科学基金资助项目(51207051)
摘    要:针对目前有源配电网调压对象单一且分布式电源(DG)和传统调压手段协调性差的问题,提出了一种基于两阶段规划的有源配电网综合调压方法。首先,通过第2阶段确定分接头位置和电容器投入组数的状态,并由差分进化算法确定第1阶段各个时段内各DG的最佳有功和无功输出。然后,将第1阶段的DG最佳输出反馈给第2阶段,再根据动态规划(DP)算法确定次日最优的电压控制预案。MATLAB仿真算例表明,与传统调压法相比,所提的两阶段规划法可更好地协调DG的出力。

关 键 词:有源配电网    分布式电源    综合调压    两阶段规划法    差分进化算法    动态规划算法
收稿时间:2014/11/7 0:00:00
修稿时间:2015/8/15 0:00:00

Comprehensive Voltage Control Optimization in Active Distribution Network Based on Two stage Planning Method
TAO Shun,LUO Chen,XUE Jiaji,XIAO Xiangning and CHEN Gang.Comprehensive Voltage Control Optimization in Active Distribution Network Based on Two stage Planning Method[J].Automation of Electric Power Systems,2015,39(20):54-59.
Authors:TAO Shun  LUO Chen  XUE Jiaji  XIAO Xiangning and CHEN Gang
Affiliation:School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China,School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China,Lianyungang Power Supply Company, State Grid Jiangsu Electric Power Company, Lianyungang 222000, China,School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China and School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Abstract:In order to solve the problem of active power optimization being usually single object oriented and the coordination between distributed generators (DGs) and traditional voltage control method being poor, a comprehensive voltage control optimization using the two stage planning algorithm is proposed. Firstly, the differential evolution algorithm is used to obtain the feasible state when the status of under load tap changer (ULTC) and shunt capacitors is determined by the second stage. Then the DG optimal output from the first stage is fed back to the second stage, and the optimal values of the objective function are calculated by the dynamic programming algorithm while the voltage control plan for day ahead is obtained. Finally, the proposed method is implemented in MATLAB, its effectiveness in the coordination of DG output verified by simulation cases. This work is supported by National Natural Science Foundation of China (No. 51207051).
Keywords:active distribution network  distributed generators  comprehensive voltage regulation  two stage planning method  differential evolution algorithm  dynamic programming algorithm
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