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Voltage-stability-constrained optimal power flows applied to electricity markets

Grant number: 17/25303-7
Support type:Scholarships abroad - Research
Effective date (Start): July 01, 2018
Effective date (End): June 30, 2019
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Guilherme Guimarães Lage
Grantee:Guilherme Guimarães Lage
Host: Javier Contreras Sanz
Home Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil
Research place: Universidad de Castilla-La Mancha, Ciudad Real (UCLM), Spain  


The object of this research proposal is the study and development of models and resolution approaches for voltage-stability-constrained optimal power flow (VSC-OPF) problems applied to electricity markets. In the existing literature, many of the operational security representations are too conservative, approximated, with high computational costs and/or even ineffective. In this context, a novel VSC-OPF formulation based on bilevel non convex nonlinear programming (NLP) is proposed. This research project is methodologically founded on the analysis of power system operational security representation in optimal power flow problems and on the formulation and resolution of large bilevel non convex NLP problems. To accomplish this, the main concepts on electricity markets, power system operational security (voltage stability) and resolution of large bilevel non convex NLP problems will be outlined by means of a background review on these subjects. Tests with the developed VSC-OPF models and resolution approaches will be carried out using IEEE test systems. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
PINHEIRO, RICARDO B. N. M.; LAGE, GUILHERME G.; DA COSTA, GERALDO R. M. A primal-dual integrated nonlinear rescaling approach applied to the optimal reactive dispatch problem. European Journal of Operational Research, v. 276, n. 3, p. 1137-1153, AUG 1 2019. Web of Science Citations: 0.

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