Research On The Thermal Power Plant Operation Optimization Value Determining Based On Association Rule

Optimization target is an important factor related to economic of thermal power unit. It provides operation parameters and performance indexes which reflect the best running of unit, and also provides the foundation and basis of optimization operation guide. Traditional determination of optimization target, such as design value, varying condition calculation are often can't reflect the actual states of unit. With the continuous development of data acquisition and storage technology, the scale and quality of production data of thermal power plant are significantly improved, and the production data contains a large number of information required by operation optimization. This paper applies association rules to determine the optimization target of power plant, and proposed an improved algorithm based on hash table and data reduction according to the features of the production data of thermal power plant. The improved algorithm generates candidate itemsets by scanning a data table directly, and then pushes the itemsets and their support to a hash table, completes the first round data reduction by deleting needless records in the table simultaneously. After the scan is complete, the algorithm generate frequent itemsets by removing the records that don't meet the minimum support from the hash table, and completes the second round data reduction according to the frequent itemsets for reducing the follow-up computation and improving the efficiency. In addition, this paper presents an overall framework and main data structure of a software implementation of the improved algorithm. As a practical example, optimal values for 100% load of a certain 1000MW power set are found with the software. The analysis of the results show it's consistent with mechanism analysis, and can raise the power set's efficiency.