Voltage stability assessment in power systems using Artificial Neural Networks

Author

Peter, Tom ; Sajith, R.P.

Author_Institution

EEE Dept. ASIET Kalady, Mahatma Gandhi Univ., Kottayam, India

fYear

2014

fDate

24-26 July 2014

Firstpage

1

Lastpage

6

Abstract

Voltage stability is a major concern in planning and operations of power systems. The main factor causing instability is the inability of the power system to meet the demand for reactive power. In order to operate power system with maximum security and reliability, knowledge of the voltage stability margin is of vital importance to utilities. L-index is used as the indicator to voltage instability. Performance of an Artificial Neural Network (ANN) is done using MATLAB Neural Network toolbox. Using PSAT (Power System Analysis toolbox) IEEE-14 bus system power flow analysis is done. L-index is calculated. With 4 inputs and L-index as output ANN is trained and performance is analysed. Error between the actual and predicted output was found to be small. It is found that ANN can efficiently predict the voltage for new values of inputs.

Keywords

mathematics computing; neural nets; power system planning; power system reliability; power system security; power system stability; reactive power; voltage control; ANN; IEEE-14 bus system power flow analysis; L-index; MATLAB neural network toolbox; PSAT; artificial neural networks; power system analysis toolbox; power system planning; reactive power; voltage instability; voltage stability assessment; Artificial neural networks; Mean square error methods; Neurons; Power system stability; Stability criteria; Training; Artificial Neural Networks; L-index; Voltage Instability;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014 Annual International Conference on

Conference_Location

Kottayam

Print_ISBN

978-1-4799-5201-4

Type

conf

DOI

10.1109/AICERA.2014.6908211

Filename

6908211