A convex chance-constrained model for reactive power planning

被引：19

作者：

Lopez, Julio ^{[1
]}

Pozo, David ^{[2
]}

Contreras, Javier ^{[3
]}

Mantovani, J. R. S. ^{[1
]}

机构：

[1] Sao Paulo State Univ UNESP, Dept Elect Engn, Ilha Solteira, SP, Brazil

[2] Pontificia Univ Catolica Chile, Ind & Syst Engn Dept, Santiago, Chile

[3] Univ Castilla La Mancha, Escuela Tecn Super Ingenieros Ind, E-13071 Ciudad Real, Spain

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2015年 / 71卷

基金：

巴西圣保罗研究基金会;

关键词：

Chance-constrained programming; Convex model; Load shedding; Reactive power deficit; Reactive power planning; Tap settings; VOLTAGE STABILITY; COLLAPSE;

D O I：

10.1016/j.ijepes.2015.03.021

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a new approach for long-term reactive power investment planning and operation using a multiperiod mixed-integer stochastic convex model, where load uncertainty is also included. The risk of not meeting the load with a certain level of confidence due to a reactive power deficit is represented by chance constraints. Tap settings of under-load tap-changing transformers are modeled as a set of mixed-integer linear equations. Existing and new discrete and continuous reactive power sources are modeled. These type of problem is challenging and have never been studied before. The proposed model is applied to the CIGRE-32 electric power system. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：403 / 411

页数：9

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