The Development And Application Of Evaluation System Based On Power Plant Operation Parameters Optimal Value

With the developing of the DCS technology of power station, electric power enterprisehas accumulated a large amount of historical data, from the thermal system running data, to find the knowledge and method to improve system operation, which has the theoretical research and practical application value. According to the diversity, dynamic and correlation characteristics of power station data itself, it is difficult to do artificial analysis and treatment, this paper presents a optimal value method of the power plant operation parametersbased on data mining algorithm, and it is applied in the actual operation of the power station.This paper target optimization values determined operation, analyzes the problems with the current method, and points out that the defect and shortcoming, based on historical data driven power station operation optimization method. According to the interconnected character the producing process strictly follow the power station physical and chemical process, the Boolean type association rules mining algorithm Apriori is selected. In data selection, and on the basis of the principle of "performance calculation" effective data screening,to avoid the blindness of mining process, reduce the mining time of quantitative association rules. Finally, the data mining and operation optimization target combine, the power plant operation optimization system development plan based on data mining is proposed.Thisprocedure rely on thermal power plant operation and power plant distributed controlsystem data characteristics, design and develop the target needs analysis and framework,and historical data to the normal operation of a month in a600MW supercritical units asthe data source debugging and test results to verify the legitimacy of the procedure andcorrectness of the algorithm.