Adaptive Two Layers Neural Network Frequency Controller for Isolated Thermal Power System

Author(s):  
Ognjen Kuljaca ◽  
Krunoslav Horvat ◽  
Jyotirmay Gadewadikar



Author(s):  
Muhammad Nizam Kamarudin ◽  
Nabilah Mohd Shaharudin ◽  
Mohd Hafiz Jali ◽  
Sahazati Md. Rozali ◽  
Mohd Shahrieel Mohd Aras


2013 ◽  
Vol 10 (5) ◽  
pp. 1587-1597
Author(s):  
R. Francis ◽  
Dr.I. A. Chidambaram

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.



Author(s):  
Anand Kumar ◽  
Md Nishat Anwar

This paper presents load frequency controller design for a single area as well as the multi-area thermal power system using direct synthesis approach with parallel control structure (PCS) scheme. The set-point and load frequency controller has been designed for frequency regulation and maintains tie-line power within a pre-specified limit for LFC power system.  The proposed controller has been implemented for single-area, two-area, and four-area thermal power system for frequency regulation. The proposed method shows impressive simulation results compared with existed control method. The robustness of the proposed method has been examined with the help maximum sensitivity and parametric variation in the nominal power system.



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