Scenario-oriented hybrid particle swarm optimization algorithm for robust economic dispatch of power system with wind power

An economic dispatch problem for power system with wind is discussed. Using discrete scenario to describe uncertain powers, a threshold given identify bad set. The bad-scenario-set robust model established minimize the total penalties on scenarios. A specialized hybrid particle swarm optimization (PSO) algorithm developed through hybridizing simulated annealing (SA) operators. SA operators are performed according scenario-oriented adaptive search rule in neighborhood which constructed based unit commitment constraints. Finally, an experiment conducted. computational results show that outperforms existing algorithms.