| In recent years,the power industry has developed rapidly.Based on environmental protection factors and national policies,traditional thermal power units are facing a series of challenges.Especially for cogeneration units,due to the distinct coupling relationship between their power generation load and heating load,their operating conditions and modes of operation are particularly complex,so the cogeneration unit has greater energysaving potential.Guodian Quanzhou has implemented a technical research project for realtime optimization of operating parameters of thermal power units.The purpose of the project is to optimize the load distribution of each unit and provide an optimized operation strategy for each unit.Based on this project,this paper conducts theoretical research on Guodian Quanzhou cogeneration unit,calculates its energy consumption characteristics through Ebsilon modeling,and guides its optimized operation through optimal distribution of heating load,and through additional heat sources The method improves its peak-shaving capability,and at the same time establishes an accurate energy consumption offline evaluation system analysis software to accurately monitor the real-time performance data of the unit.The specific work content is as follows:This paper uses EBsilon to model Quanzhou 300 MW and 670 MW thermal power units,and calculates the influence of different thermal power loads and extraction steam pressures on the thermal economy of the unit,and obtains the relationship between the thermal economic parameters of the unit and the thermal power load of the unit through linear regression fitting..Then,the genetic algorithm is used to optimize the distribution of the heating load of the two heating units of Quanzhou Power Plant.Under the premise of meeting the demand for heating load,the set value of the heat load of the unit with the smallest heat consumption can be obtained.At the same time,the thermoelectric relationship of the 300 MW unit in Quanzhou Power Plant was studied,and thermoelectrolytic coupling was carried out by means of additional heat source to improve the peak shaving capacity of the unit,and the improvement effects of different additional heat source methods were compared,and the best results were obtained according to the actual situation in Quanzhou.The additional parameters of the most economical heat source.Finally,based on the Delphi language,using the advanced combined thermal economy equation of state and the international water vapor equation calculation method,and using the historical parameters of the unit operation,the energy consumption monitoring software that can reflect the energy consumption of the unit in real time is written. |