Effect of Probabilistic Pattern on System Voltage Stability in Decentralized Hybrid Power System

Nitin Kumar Saxena; Ashwani Kumar

doi:10.4236/wjet.2015.34020

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World Journal of Engineering and Technol... > Vol.3 No.4, November 2015

Effect of Probabilistic Pattern on System Voltage Stability in Decentralized Hybrid Power System ()

Nitin Kumar Saxena, Ashwani Kumar

National Institute of Technology, Kurukshetra, India.

DOI: 10.4236/wjet.2015.34020 PDF HTML XML 3,137 Downloads 3,615 Views Citations

Abstract

This paper presents an proportional integral (PI) based voltage-reactive power control for wind diesel based decentralized hybrid power system with wide range of disturbances to demonstrate the compensation effect on system with intelligent tuning methods such as genetic algorithm (GA), artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS). The effect of probabilistic load and/or input power pattern is introduced which is incorporated in MATLAB simulink model developed for the study of decentralized hybrid power system. Results show how tuning method becomes important with high percentage of probabilistic pattern in system. Testing of all tuning methods shows that GA, ANN and ANFIS can preserve optimal performances over wide range of disturbances with superiority to GA in terms of settling time using Integral of Square of Errors (ISE) criterion as fitness function.

Keywords

Reactive Power Control, Hybrid Power Systems, Genetic Algorithms, Load, Artificial Neural Network, Adaptive Neuro Fuzzy Interface System

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Saxena, N. and Kumar, A. (2015) Effect of Probabilistic Pattern on System Voltage Stability in Decentralized Hybrid Power System. World Journal of Engineering and Technology, 3, 195-204. doi: 10.4236/wjet.2015.34020.

Conflicts of Interest

The authors declare no conflicts of interest.

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