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

机译:数据挖掘在电厂运行优化中的研究与应用

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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.
机译:随着电力工业的发展,越来越多的实时数据通过DAS和DCS发送到数据库,并积累了大量的数据。历史数据中存在大量有价值的知识,因此很难以传统方式进行查找和总结。本文提出了基于数据挖掘的电厂运行优化方法。建立了基于数据挖掘的运行优化的基本结构,并引入了模糊关联规则挖掘,从电厂工业过程中设备的定量值中寻找优化目标值。根据300MW机组的历史数据,通过数据挖掘技术找出运行参数的最佳值。最佳值提供给操作员以在线指导操作,并且在电厂中实现了出色的性能。

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