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

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