Investigation On Typical Economic Operation Modes Of Thermal Power Units

The rapid development of computer technology enables a large number of operating records of thermal power units saved to the real/historical database, which is rich in information. Analysis and application of these data by the light of data mining technology has an important significance on optimal operation of units. This research mainly focuses on classifying records of the operation of thermal power unit by working conditions based on the clustering analysis of data mining technology and mining the operation modes.The first part is to analyze current status and feasibility of data mining technology in optimal operation of thermal power units, and introduce regulation, basic methods. The second part describes overall design ideas of typical economic operation mode of units. The third involves data experiment of mining algorithm on historical operating data of a 600MW unit for one month, and analysis of mining results under different conditions. These results show that data mining is significant in analyzing and building unit operation modes in practice.