OPTIMAL OPERATION OF SINGLE RESERVOIR USING ARTIFICIAL NEURAL NETWORK

Optimal operating policies of a reservoir have been derived in deterministic and stochastic frame work as well as using Artificial Neural Network (ANN). With different combinations of input data set, five different ANN models have been developed. Out of five models, three models simulate final storage and two models simulate optimal release. All these models are applied to develop optimal operating policies of Konar, a reservoir in Damodar Valley system in India. Based on data used as input variables, five types of ANN models a re developed. Based on objective function value, performance of every model is compared. Regression analysis has been done with the results of most preferred ANN model with stochastic model.