The optimizing for boiler combustion based on fuzzy association rules

Rationally fixing operation optimization target values of fossil fired power plants is the the basis and the key for effectuating performance evaluation and operation optimization. Actual states of operation of power sets can often not be correctly and real-time reflected by optimization target values determined with traditional methods. A way of establishing optimized systems is proposed by applying data mining technique for making full use of the large amount of historical data stored in power plants. The optimization target of the plant´s operation is found by applying fuzzy association rule mining algorithm. It is established by employing fuzzy association rule mining method to the optimal knowledge base; and the optimal knowledge base is the results of global searching. As a practical example the calculation of the new optimization technology is much less and more stable than the evolutionary algorithm, thus it is more suitable for online use and easy for timely updating when the system feature is time-varying.