Design of Adaptive Neural Network Frequency Controller for Performance Improvement of an Isolated Thermal Power System

2008 ◽  
pp. 372-377
Author(s):  
Ognjen Kuljaca ◽  
Jyotirmay Gadewadikar ◽  
Kwabena Agyepong
Keyword(s):  
Neural Network ◽  
Power System ◽  
Performance Improvement ◽  
Thermal Power ◽  
Adaptive Neural Network ◽  
Thermal Power System ◽  
Frequency Controller

Achieving Thermal Power System Stability Using Load Frequency Controller

2017 ◽  
pp. 455-467
Author(s):  
Muhammad Nizam Kamarudin ◽  
Nabilah Mohd Shaharudin ◽  
Mohd Hafiz Jali ◽  
Sahazati Md. Rozali ◽  
Mohd Shahrieel Mohd Aras
Keyword(s):  
Power System ◽  
Thermal Power ◽  
Power System Stability ◽  
System Stability ◽  
Load Frequency ◽  
Thermal Power System ◽  
Frequency Controller

scholarly journals Beta Wavelet Neural Network Based Load-Frequency Controller for an Interconnected Reheat Power system with Hydrogen Electrolyser

2013 ◽  
Vol 10 (5) ◽  
pp. 1587-1597
Author(s):  
R. Francis ◽  
Dr.I. A. Chidambaram
Keyword(s):  
Neural Network ◽  
Power System ◽  
Thermal Power ◽  
Pi Controller ◽  
Wavelet Neural Network ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Thermal Power System ◽  
Beta Wavelet ◽  
Tie Line

This paper investigates a renewable energy resources application to the Load-Frequency Control of interconnected power system. The Proportional plus Integral(PI) controller gains of the two area interconnected thermal power system with the fast acting energy storage devices are designed based on Control Performance Standards (CPS) using conventional/Beta Wavelet Neural Network(BWNN) approaches. The energy storing device Hydrogen generative Aqua Electrolizer (HAE) with fuel cell can efficiently damp out the electromechanical oscillations in the power system because of their efficient storage capacity in addition to the kinetic energy of the generator rotor, which can share the sudden changes in power requirements. The system was simulated and the frequency deviations in area 1 and area 2 and tie-line power deviations for 1% and 5% step- load disturbance in area 1 are obtained. The comparison of frequency deviations and tie-line power deviations of the two area interconnected thermal power system with HAE designed with BWNN Controller are found to be superior than that of output response obtained using PI Controller.

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