Two-stage multi-objective robust optimization of voltage／var for unbalanced active distribution network

被引：0

作者：

Fu Y. ^{[1
]}

Wu J. ^{[1
]}

Su X. ^{[1
]}

Tian S. ^{[1
]}

Mi Y. ^{[1
]}

Li H. ^{[2
]}

Geng F. ^{[2
]}

机构：

[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai

[2] Shanghai Energy Technology Development Co.，Ltd., State Power Investment Corporation Limited, Shanghai

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 05期

基金：

中国国家自然科学基金;

关键词：

multi-objective; robust optimization; two-stage; unbalance; uncertainty; voltage／var;

D O I：

10.16081/j.epae.202311027

中图分类号：

学科分类号：

摘要：

Three phase unbalance of distribution network is aggravated by the factors such as massive integration of highly intermittent distributed generation，asymmetry of line layout and uneven distribution of loads. Meanwhile，frequent voltage violation of distribution network and increase of network energy loss are caused by the remarkable uncertainty of distributed generation and loads. A second-order cone constraint of voltage unbalance degree is introduced to reduce the three phase unbalance degree of active distribution network. A robust optimization method is adopted to model the uncertainty of distributed generation and loads. On this basis，a two-stage multi-objective voltage／var control model for active unbalanced distribution network is proposed to minimize the system voltage deviation and network energy loss. The second-order cone relaxation and linearization technique are combined to transform the non-convex model into a solvable form，the normal boundary intersection algorithm is used to deal with the multi-objective problem，and the column-and-constraint generation algorithm is adopted to divide the solvable model into a main problem and a sub-problem for iterative solving，thus a robust Pareto optimal solution is obtained. The validity and robustness of the proposed method are verified based on a real Australian distribution network. © 2024 Electric Power Automation Equipment Press. All rights reserved.

引用

页码：79 / 87

页数：8

共 20 条

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