The research and application of data mining in power plant operation optimization

As the development of electric industry, more and more real-time data are sent to database by DAS and DCS and large amounts of data are accumulated. Abundantly valuable knowledge exists in the history data and it is hard to find and summarize them in traditional way. This paper proposes the operation optimization based on data mining in power plant. The basic structure of the operation optimization based on data mining is established and the fuzzy association rule mining is introduced to find the optimization target value from quantitative values of the equipments in power plant industry process. Based on the history data of a 300MW unit, the optimal values of the operating parameters are found out by data mining techniques. The optimal values are provided to the operators to guide the operation online and the excellent performance is achieved in the power plant.