Power Generation Cost Control Model for Thermal Power Plants Based on Improved Particle Swarm Optimization
In order to control the power generation cost of thermal power plant,a power generation cost control model of thermal power plant based on improved particle swarm optimization algorithm is established.It designs a two-level control model of power gen-eration cost in thermal power plants.The upper level is based on the forecast result of thermal coal price,and the cost control model of multi-cycle procurement plan in thermal power plants is constructed according to the supplier's supply capacity,coal price,inventory restrictions and other conditions.Based on the quantity and types of coal available for lower production,the cost control model of economic blended coal combustion scheme is constructed.Taking multiple costs as constraints,the model is solved based on improved particle swarm optimization.The test results show that the model can achieve the reduction of the bid price and total cost,in which the total cost in June decreased by 3 675.32 million yuan,and the marginal coal cost can be reduced,which shows that the model has great practical significance.
Improved Particle Swarm Algorithmdecision cyclethermal power plantpower generation cost controlmodel
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