Abstract:

Coal blending optimization is of great significance for the optimal operation of Texaco coal gasification process.A process model from a management and decision-making perspective is constructed to solve the problem of Texaco coal blending optimization.The model takes into account mixed-coal indicators, inventory costs, market prices, operating costs and consumptions of stockpiling and transit.The model is calculated with particle swarm optimization with prior crossover differential evolution(PSOPDE), which can avoid prematurity more easily than basic PSO and DE, and has superior features in solution accuracy and efficiency. The simulation results of a coal blending optimal process of a fertilizer plant validate the feasibility of the model and algorithms.