(2001) An innovative simulated annealing approach to the long-term hydroscheduling problem. Power Engineering, 2001. LESCOPE '01. 2001 Large Engineering Systems conference, 1.

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Abstract

This paper presents a new simulated annealing algorithm (SAA) to solve the long-term hydro scheduling problem (LTHSP). A new algorithm for randomly generating feasible trial solutions is introduced. The problem is a hard nonlinear optimization problem in continuous variables. An adaptive cooling schedule and a new method for variables discretization are implemented to enhance the speed and convergence of the original SAA. A significant reduction in the number of the objective function evaluations, and consequently less iterations are required to reach the optimal solution. The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. Numerical results show an improvement in the solutions compared to previously obtained results

Item Type:	Article
Subjects:	Computer
Department:	College of Engineering and Physics > Electrical Engineering
Depositing User:	Mr. Admin Admin
Date Deposited:	24 Jun 2008 13:51
Last Modified:	01 Nov 2019 14:07
URI:	http://eprints.kfupm.edu.sa/id/eprint/14845