Abstract:

In view of the fuzzy and nonlinear characteristics of coal slagging process,a fuzzy neural network model is developed to evaluate the slagging characteristic of blended coal,with the slagging tendency index as the restriction condition of coal blending.Then,the coal blending in power plants is optimized by the chaos optimization algo.rithm with the ergodic advantage of chaotic motion in the solution space.The minimum price of blended coal is used as the optimization object and the restriction conditions are converted by means of the penalty function method.The results reveal that the combination of fuzzy neural network with the mutative.scale chaos algorithm shows good adaptability and practicability in the coal blending in p0wer plants.The proposed model can help acquire relative optimum results in a short time and is conducive to the on-line monitoring of real-time coal blending in power plants.

Key words: fuzzy neural network, chaos, optimization algorithm, coal blending