| The research on thermoelectric coupling characteristics and operation optimization of heating unit is of great significance for mastering the energy consumption characteristics and improving the operation economy and flexibility of unit.This paper takes a 330 MW double extraction adjustable heating unit as the research object,establishes the thermodynamic simulation model of the double extraction adjustable heating unit,analyzes and studies its heating characteristics,and on this basis carries out the research on the thermoelectric load optimization scheduling of double extraction heating units when two units run side by side.The main research contents include:First of all,the simulation model of the double extraction adjustable heating unit based on EBSILON software and combined with the design data was established,and the accuracy of the simulation model was verified respectively in the design and off-design conditions.Secondly,based on the simulation model,the heating characteristics of double extraction unit was analyzed.On the one hand,the thermoelectric coupling characteristics of double extraction unit was analyzed,on the other hand,the heating economy and the flow characteristics of intermediate pressure cylinder was analyzed.From the perspective of thermal economy,heat supply can reduce the steam exhaust loss and reduce the heat rate of the unit.However,from the perspective of intermediate pressure cylinder flow,throttling loss caused by heat supply regulation has a negative impact on the efficiency of the unit’s intermediate pressure cylinder.Furthermore,a mathematical model of optimal dispatch of thermoelectric load for double extraction heating unit was established,and the energy-saving mechanism of optimal dispatch of thermoelectric load is studied from the perspective of power capability loss and steam exhaust loss combined with the simulation model.In the end,the software for optimizing the scheduling of factory thermoelectric load for double extraction heating unit was developed,and the efficiency of the optimized scheduling system was verified by measuring the heat benefit before and after optimization through field dispatch tests. |