Study of operation optimization based on data mining technique in power plants

Abstract

The determination of operation optimization value is very important for economic analysis and operation optimization in power plants. The operation optimization value determined by traditional methods usually cannot reflect the actual running states correctly in power plants with the increase in running time. Based on a large amount of history data stored in power plants, a way of operation optimization by applying data mining technique is proposed. The structure of operation optimi-zation based on data mining is established and the fuzzy association rule mining algorithm is introduced to find the operation optimization target value to guide the operation in power plants. Based on the actual local data in a 300 MW unit, the operation optimization value in typical load ranges is found out by data mining to provide better adjustment guidance in industry process. Experimental results show that the determination of operation optimization value based on data mining can improve the efficiency and decrease the emission of pollutants.