Value Chain Analysis-based Optimization of Coal Feeding Proportion for Thermal Power Plants
Based on the analysis of the coal supply value chain in thermal power plants,this essay outlines a new method for optimizing coal feeding proportion based on Gaussian mixture model and improved support vector machine.By dividing the operating conditions,a multi-objective optimization model considering factors such as coal quality,cost,and environ-mental protection is constructed,and particle swarm optimization algorithm is used for solution.The case application of an actual plant shows that this method achieves an average reduction of 2.1％to 3.4％of coal consumption under different load conditions,and thereby has significant economic and environmental potential.
value chain analysisoptimization of coal feeding proportiongaussian mixture model
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