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ABSTRACT
In this paper, artificial neural network (ANN) and fuzzy-based adaptive neuro-fuzzy inference system (ANFIS) approach to automatic generation control of three unequal area hydro-thermal power systems has been introduced. The proposed ANFIS controller combines the advantages of fuzzy controller as well as quick response and adaptability nature of ANN. Area 1 and area 2 consist of thermal reheat power plant whereas area 3 consists of hydro power plant with electric governor. Performance evaluation is carried out by using ANN, fuzzy, and ANFIS control approaches. To enhance the performance of intelligent controller, sliding surface is included. The performances of the controllers are simulated using MATLAB/SIMULINK software. A comparison of ANFIS, ANN, fuzzy-based approaches shows the superiority of proposed ANFIS over ANN, fuzzy for change in frequency and tie-line power deviation in three area interconnected power system.
Additional information
Notes on contributors
Surya Prakash
Surya Prakash belongs to Allahabad, DOB is 1 May 1971, received his Bachelor of Engineering degree from the IE (India) in 2003, He obtained his MTech in Electrical Engineering (Power System) from KNIT, Sultanpur, India in 2009 and Ph D in Electrical Engineering (Power System) from SHIATS-DU (formerly AAI-DU, Allahabad, India) in 2014. Presently, he is working as an assistant professor in the Department of Electrical & Instrumentation Engineering, Thapar University, Patiala. His field of interest includes power system operation and control andartificial intelligence control.
E-mail: [email protected]
Sunil Kumar Sinha
Dr. Sunil Kumar Sinha belongs to Varanasi and his date of birth is 17 April 1962. He received BScengineering degree in Electrical from R.I.T. Jamshedpur, Jharkhand, India, in 1984, MTech degree in Electrical Engineering from Institute of Technology, B.H.U, Varanasi, India in 1987, and the PhD degree from IIT, Roorkee, India in 1997. Currently, he is working as professor in the Department of Electrical Engineering, Kamla Nehru Institute of Technology, Sultanpur, India. His field of interest includes state estimation, fuzzy control, robotics and AI applications.
E-mail: [email protected]