Three-phase Robust Dynamic Reconfiguration of Distribution Network to Improve Acceptance Ability of Distributed Generator

被引:0
作者
Zhai H. [1 ]
Yang M. [2 ]
Zhao L. [1 ]
Dai Z. [1 ]
Du P. [2 ]
Chen Y. [1 ]
机构
[1] State Key Laboratory of HVDC, Electric Power Research Institute of China Southern Power Grid Company Limited, Guangzhou
[2] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 18期
基金
中国国家自然科学基金;
关键词
Distributed generator; Dynamic reconfiguration; Robust optimization; Three-phase unbalanced distribution network; Uncertainty set;
D O I
10.7500/AEPS20181209001
中图分类号
学科分类号
摘要
Uncontrollable distributed generators (UDGs) introduce significant power fluctuation and uncertainty to active distribution network (ADN). To absorb more UDGs, topology of ADN should be reconfigured dynamically with respect to the operation conditions. Moreover, since distribution systems are featured by load unbalance in phases, a three-phase unbalanced reconfiguration model is also desirable in practice. An adjustable two-stage robust optimization approach is proposed for the dynamic reconfiguration of a three-phase unbalanced ADN. In the first stage, the ADN topology is optimized for the entire look-ahead periods to minimize the daily switching cost and maintain the radial structure of the network. In the second stage, a three-phase dynamic optimal power flow is executed to minimize the worst operation cost based on the given network topology and the uncertainty set of UDG outputs. The two-stage robust dynamic reconfiguration model is solved by using column-and-constraint generation algorithm, where the main problem and sub-problems are both formulated as a mixed-integer linear program by applying a linear three-phase power flow model. Test results on modified IEEE 34 bus and IEEE 123 bus system verify the effectiveness of the proposed approach. © 2019 Automation of Electric Power Systems Press.
引用
收藏
页码:35 / 42
页数:7
相关论文
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