Hydro system scheduling using ANN approach

This paper presents a two-phase artificial neural network approach for find ing optimal scheduling of interconnected hydropower plants. In this approac h the objective is to maximize hydropower generation and to satisfy the irr igation requirement as far as possible. A case study considering scheduling of Bhakra-Beas interconnected reservoir system Is also presented in this p aper. The proposed technique is compared with augmented penalty function me thodology and demonstrates the potential of achieving better results.