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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A convex chance-constrained model for reactive power planning

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Author(s):
Lopez, Julio [1] ; Pozo, David [2] ; Contreras, Javier [3] ; Mantovani, J. R. S. [1]
Total Authors: 4
Affiliation:
[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
Total Affiliations: 3
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS; v. 71, p. 403-411, OCT 2015.
Web of Science Citations: 13
Abstract

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. (AU)

FAPESP's process: 10/16728-5 - VAr Planning of Multi-Areas Power Systems Taking into Account Stochastic Models.
Grantee:Julio César López Quizhpi
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 12/21570-7 - Reactive power planning in Multi-Area electric power systems considering risk analysis, demand and and capacity of reactive PowerUnertainties and investment restrictions limit
Grantee:Julio César López Quizhpi
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 13/23590-8 - Development of a distribution energy management system simulator for Smart Grids
Grantee:José Roberto Sanches Mantovani
Support Opportunities: Regular Research Grants