Augmented Lagrange Hopfield Network Based Method for Long-Term Hydrothermal Scheduling

Tác giả:  Nguyen T.T., Vo D.N.

Abstract:  This paper proposes an augmented Lagrange Hopfield network (ALHN) based method for solving long-term hydrothermal scheduling problem. The main objective of the problem is to minimize total power generation cost over a scheduling period of one year while satisfying the operating constraints of the hydro and thermal plants, such as the limits on the water storages, discharges, hydro and thermal generations. The ALHN method is a combination of augmented Lagrange relaxation and continuous Hopfield neural network where the augmented Lagrange function is directly used as the energy function of the network. The effectiveness of the proposed method has been tested on two systems and the obtained results compared to those from other methods available in the literature have indicated that the proposed method is very efficient for solving long-term hydrothermal scheduling problem with good optimal solution and fast computational time.