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

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

Abstract

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)

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. (17/25303-7)