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三相不平衡有源配电网鲁棒动态重构
引用本文:吴在军,成晟,朱承治,徐俊俊,窦晓波,顾伟.三相不平衡有源配电网鲁棒动态重构[J].电力系统自动化,2019,43(5):66-74.
作者姓名:吴在军  成晟  朱承治  徐俊俊  窦晓波  顾伟
作者单位:东南大学电气工程学院,江苏省南京市,210096;国网浙江省电力有限公司,浙江省杭州市,310007
基金项目:国家自然科学基金资助项目(51677025);国家电网公司科技项目(52110417000A)
摘    要:考虑配电网的三相不平衡运行和注入功率不确定性可以提高网络重构方案的优化效果和应用价值。首先,对考虑不确定性的分布式电源和负荷注入功率进行仿射数建模,划分重构时段,以有功网损最优为目标函数,基于三相Distflow潮流方程建立含不确定性预算的配电网两阶段鲁棒动态重构数学模型。为高效求解该模型,引入最佳等距分段线性逼近法对模型进行精度可控的线性松弛,并使用列约束生产算法迭代求解。采用标准化配电测试系统验证所提鲁棒动态重构模型的可行性和有效性,通过控制不确定性预算可进一步调节重构方案的保守性和鲁棒性。

关 键 词:三相不平衡  分布式电源  不确定性预算  鲁棒动态重构  列约束生产算法
收稿时间:2018/4/27 0:00:00
修稿时间:2018/12/11 0:00:00

Robust Dynamic Reconfiguration of Three-phase Unbalanced Active Distribution Network
WU Zaijun,CHENG Sheng,ZHU Chengzhi,XU Junjun,DOU Xiaobo and GU Wei.Robust Dynamic Reconfiguration of Three-phase Unbalanced Active Distribution Network[J].Automation of Electric Power Systems,2019,43(5):66-74.
Authors:WU Zaijun  CHENG Sheng  ZHU Chengzhi  XU Junjun  DOU Xiaobo and GU Wei
Affiliation:School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,State Grid Zhejiang Electric Power Co. Ltd., Hangzhou 310007, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China and School of Electrical Engineering, Southeast University, Nanjing 210096, China
Abstract:The optimization effect and application value of network reconfiguration scheme can be improved considering the three-phase unbalanced operation of distribution network and the uncertainty of injection power. Firstly, the uncertainty of distributed generators and load injection power is modeled by the affine number, and the reconfiguration period is divided. The two-stage robust dynamic reconfiguration model of distribution network with uncertainty budget is established based on the three-phase Distflow power flow equation, which takes optimal active power of network loss as objective function. In order to efficiently solve the model, an optimal equidistant piecewise linear approximation algorithm is adopted for the precision-controlled linear relaxation of the model, and the column-and-constraint generation method is used to solve it iteratively. A standardized distribution test system is used to verify the feasibility and effectiveness of the proposed model, which shows that the conservatism and robustness of the reconfiguration scheme can be further adjusted by controlling the uncertainty budget.
Keywords:three-phase unbalance  distributed generator  uncertainty budget  robust dynamic reconfiguration  column-and-constraint generation method
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