Optimal power flows with voltage stability constraint based on voltage stability indices and artificial neural networks

Author

Lage, Guilherme G. ; Fernandes, Ricardo A.S. ; da Costa, Geraldo R.M.

Author_Institution

Department of Electrical Engineering, Center for Exact Sciences and Technology, Federal University of São Carlos, SP 13565-905, Brazil

fYear

2015

fDate

June 29 2015-July 2 2015

Firstpage

1

Lastpage

6

Abstract

This paper describes the resolution of the optimal power flow (OPF) problem in the context of competitive electricity markets with a voltage stability constraint (VSC) based on the estimation of a voltage stability index (VSI) by means of an artificial neural network (ANN). The complexity of a VSI-based VSC consists in determining the VSI critical value. Thus, a methodology based on ANN for explicitly and algebraically determining such a critical value is proposed here. Numerical tests with 6-bus test-system are carried out in this study. This approach actually allows modeling the market clearing dispatch problem with power system security properly accounted in terms of voltage stability.

Keywords

Artificial neural networks; Indexes; Neurons; Numerical stability; Power system stability; Stability criteria; artificial neural network-based functional approximation; optimal power flow; voltage stability constraint; voltage stability index;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2015 IEEE Eindhoven

Conference_Location

Eindhoven, Netherlands

Type

conf

DOI

10.1109/PTC.2015.7232698

Filename

7232698