Abstract: DepartmenBased on the history operation data of flue gas desulfurization （FGD） system in thermal power plant, using data mining method, several important operation parameters were optimized. The optimal operation parameters values, which can meet the required desulphurization efficiency and the maximum economic efficiency, were confirmed. A fuzzy association rule mining algorithm was proposed to determine the optimization target of limestone-gypsum wet FGD in a 330 MW unit. Firstly, the fuzzy data set of history data was structured by the competitive agglomeration algorithm that can determine the cluster number and soften the demarcation of the boundaries. Secondly, for meeting the desulfurization efficiency, treating the economic benefit as optimization objective, using fuzzy Apriori association rules algorithm for data mining, the frequent item set was gained. Finally, the optimal objective value of the operation parameters was obtained. The experimental results and theoretical analysis show that the mining results can contribute to the economic operation of desulfurization system in power plant and can provide the important reference for the optimal operation of unit.t of Automation, North China Electric Power University, Baoding 071003,China

Key words: operation optimization target, fuzzy association rules, competitive agglomeration algorithm, control system optimization