Title :
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
fDate :
June 29 2015-July 2 2015
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;
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven, Netherlands
DOI :
10.1109/PTC.2015.7232698