Application of neural network in voltage stability assessment in real-time power market

Author

Tran Phuong Nam ; Dinh Thanh Viet ; La Van Ut

Author_Institution

Hue Ind. Coll., Hue, Vietnam

fYear

2012

fDate

12-14 Dec. 2012

Firstpage

196

Lastpage

200

Abstract

In recent decades, the operation of the power system under the power market mechanism has been researched and applied by many countries. Voltage stability assessment in realtime power market (spot market) not only ensures safety of the power system but also improves efficiency of power market. The larger power system and the more plants join in the power market, the more research and analysis on voltage stability assessment should be done. This paper proposes a new algorithm of Multi-layer Perceptron (MLP) neural network application into fast voltage stability assessment in the power market (FVSAPM). This paper also put forward FVSA-PM model in real-time power market through the SCADA/EMS. PowerWorld simulator and Matlab software are chosen to build up the calculation program. The test model is based on data of 39-bus IEEE power system.

Keywords

IEEE standards; SCADA systems; mathematics computing; multilayer perceptrons; neural nets; power engineering computing; power markets; safety; voltage regulators; 39-bus IEEE power system; FVSA-PM model; MLP neural network application; Matlab software; PowerWorld simulator; SCADA-EMS; multilayer perceptron neural network application; real-time power market mechanism; safety; voltage stability assessment; Power market; SCADA/EMS; neural network; voltage sensitivity; voltage stability;

fLanguage

English

Publisher

ieee

Conference_Titel

IPEC, 2012 Conference on Power & Energy

Conference_Location

Ho Chi Minh City

Type

conf

DOI

10.1109/ASSCC.2012.6523263

Filename

6523263