New hybrid optimization model for power coal blending

Power coal blending in power plant is an optimization problem with many complicated restriction conditions. As slagging properties of blended coal being regarded increasingly, the method that setting upper and lower boundaries for slagging properties indexes can´t satisfy the demand of the actual projects. Considering the fuzzy and non-linear characteristics of blended coal´s slagging, a slagging tendency index was brought out to take place these slagging properties in the paper, which is based on the coal properties of each blended coals and come from a fuzzification process by fuzzy neural network. The optimization model of power coal blending which aiming at the lowest price of blended coal was calculated based on genetic algorithm. Result showed that combining fuzzy neural network and genetic algorithm to solve the problem of power coal blending in power plant is very practical, as it can acquire the relative optimum results in a short time, which has a great significance on real-time blending coal and monitoring in power plant.