Operation Optimization Of Thermal Power Unit Based On Data Driven

Unit operation optimization is one of the important ways to save energy and reduce emissions in thermal power plants.Conventional methods for calculating target values of key parameters have the disadvantages of low accuracy and poor real-time performance.To solve this problem,a data-driven optimization method for the operation of thermal power units is proposed.Related algorithms such as unit parameter feature selection,thermal power plant data processing and working condition division are studied;unit data is collected for experimental analysis;a set of optimization software for key parameter target values was designed and developed and put into use on site.The specific content is divided into the following aspects:First of all,the feature selection method based on mutual information is adopted to select important key parameters from the numerous data parameters of thermal power units;at the same time,a comprehensive optimization objective function including the requirements of economy,safety and environmental protection is designed.Then,a historical working condition database was constructed,which mainly involves two aspects: data processing and working condition division.In terms of data processing,anomalous point removal algorithm based on isolated forests is used for data cleaning;empirical wavelet transform algorithm is used for trend extraction;the R statistical test method was used for steady-state detection.In terms of working condition division,multi-step K-means clustering algorithm is used to divide the steady-state working condition data to generate multiple historical working condition libraries;In addition,the iterative update function of the optimal historical operating point is also designed.Finally,based on the above research content,a set of key parameter target value optimization software is designed and developed.The software guides the current operation of the unit by mining the historical working condition database to generate key parameter target values.At present,the software has been put into use in an information center in China and is running well.