Hydroelectric Unit Commitment by Enhanced PSO

The constrained hydroelectric unit commitment problem is turned into an unconstrained optimization problem by means of penalty function method, and to improve the diversity and search ability, the classical particle swarm optimization (PSO) approach is enhanced by incorporating a genetic crossover operator and a self-adaptive decreasing inertia weight. Then the enhanced PSO is used to solve the hydroelectric unit commitment problem, with the numerical results, the proposed method is verified to be feasible and effective.