Abstract
Short-term optimal hydrothermal scheduling (STOHS) problem is one of the most popular research issues in power system optimization. A novel mathematical model of the short-term hydrothermal scheduling is proposed in this paper. This model aims at minimizing the total fuel cost of the thermal generating units while satisfying the various constraints such as power balance, water balance, transmission network and other system's constraints. A modified particle swarm optimization algorithm which employs a migration operation and inertia weight decreasing strategy is presented to solve this optimization problem. Five constraint handling rules are integrated to handle the various constraints of the problem. An IEEE nine buses test system is applied to verify the proposed model and algorithm. The numerical results show the feasibility and efficiency of the proposed approach to the STOHS problem.
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