Operating parameters optimization of thermal power unit based on data mining

Rationally fixing operation optimization target values of thermal power sets is the premise and foundation of effectuating performance evaluation and operation optimization, which is the key for the power station to save energy and reduce consumption. The paper proposes using data mining to find the optimization target value of controllable parameters. Based on the history data stored in supervisory information system of a 600WM unit, firstly, a clustering method is used to construct fuzzy sets for the steady-state operating data under specific operation condition. Then, fuzzy association rules mining algorithm is used to get the operating target values when the power consumption rate is relatively low. Thus the operation optimization curve can be obtained to guide the practical operation.