Adaptive Optimization Method for Economic Scheduling of Coal-Fired Power Plants Based on Improved Particle Swarm Algorithm
Economic scheduling optimization is related to the economic benefits of power plants,so an adaptive optimization method for economic scheduling of coal-fired power plants based on improved particle swarm optimization is proposed.In order to maximize the economic benefit of power plant and minimize the power generation cost,and set relevant constraints,the parameters of particle swarm optimization algorithm were adjusted adaptively,the iterative solving model was improved,and the optimal economic scheduling strategy was obtained.The practical application shows that this method can effectively improve the economic income of power plant,reduce the emission of pollutants,and has a good optimization effect.
improved particle swarm algorithmcoal-fired power planteconomic dispatchingadaptive optimization
万方数据
维普
