Affinely Adjustable Robust Optimization Method for Active Distribution Network Based on Generalized Linear Polyhedral

被引：0
|
作者：
Le J. [1 ]
Lang H. [1 ]
Liao X. [2 ]
Wang J. [1 ]
Mao T. [3 ]
机构：
[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan
[2] School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan
[3] Wuhan YICIYUAN Power Technology Co., Ltd., Wuhan
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 22期
基金：
中国国家自然科学基金;
关键词：
active distribution network; distributed photovoltaic; generalized polyhedral set; mixed-integer second-order cone programming; robust optimization;
D O I：
10.7500/AEPS20230411005
中图分类号：
学科分类号：
摘要：
In view of lacking consideration of distributed photovoltaic output correlation in the traditional polyhedral set, an affinely adjustable robust optimization method for active distribution networks based on the generalized linear polyhedral set is proposed to quantify the impact of correlation on optimization results. First, the polyhedral set is used to describe the uncertainty of distributed photovoltaic output, and the correlation distribution envelope of uncertain output is obtained by using the historical data of distributed photovoltaic output. Then, the boundary of the polyhedral set is reconstructed by combining the correlation distribution envelope. In response to the problem of the large conservativeness in the reconstructed correlation polyhedral set, a generalized polyhedral set is further established to describe the correlation of distributed photovoltaic output. Finally, the impact of the generalized polyhedral set on the affinely adjustable robust optimization results of the active distribution network is analyzed through the comparison of cases. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码：138 / 148
页数：10
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