Neural Network Predictive Controller for Improved Operational Efficiency of Shiroro Hydropower Plant

Adedayo, Ojo O. and Gbadamosi, S.L and Ale, D.T (2015) Neural Network Predictive Controller for Improved Operational Efficiency of Shiroro Hydropower Plant. International Journal of Scientific & Engineering Research, 6 (7). pp. 1454-1459. ISSN 2229 - 551

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Abstract

The development of e fficient models and controllers is central to better understanding and analysis of operational efficiency of modern hydropower plants. In this work, an intelligent Levenberg - Marquardt b ased Neural Network Predictive C ontroller (NNPC) was developed for Shiroro hydroelectric power station us ing actual data obtained from the plant operation . Results obtained after training and simulation of the system show that neural network technique serves as an efficient approach of designing hydroelectric power station models and controllers .

Item Type: Article
Uncontrolled Keywords: Neural Network Predictive Controller, hydropower plant, operational efficiency, Artificial Neural Network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr. Victor Sebiotimo
Date Deposited: 19 Mar 2019 08:20
Last Modified: 19 Mar 2019 08:20
URI: http://eprints.abuad.edu.ng/id/eprint/275

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