Combined heat and power generation unit SCR inlet smoke temperature online calculation method based on BP neural network

Abstract

The invention discloses a combined heat and power generation unit SCR inlet smoke temperature online calculation method based on a BP neural network. The method comprises the following steps of carrying out designing, carrying out multi-coal and multi-working-condition boiler thermal tests, obtaining test data of coal quality, load, heat supply steam extraction capacity and SCR inlet smoke temperature under different test working conditions, training the BP neural network through utilization of test data, and establishing an SCR inlet smoke temperature initial calculation model; issuing the smoke temperature initial calculation model in a form of an online website through utilization of a network programming technology, thereby realizing online determination of the SCR inlet smoke temperature under different operation conditions; and after the SCR inlet smoke temperature deviates, carrying out real-time online correction on the smoke temperature initial calculation model through combination of practical operation data of a thermal power generation unit. According to the method, related staff can calculate and predict the SCR inlet smoke temperature of a combined heat and power generation unit under different coal quality and different load rates in real time, the peak-load regulation limit of the set can be accurately determined, and when the boiler heat exchange condition is changed, the self-correction of a model can be realized.

Description

technical field [0001] The invention relates to an online calculation method for smoke temperature at the SCR inlet of a cogeneration unit based on BP neural network. Background technique [0002] With the rapid development of social economy and the continuous increase of new energy installed capacity, the peak-to-valley difference of power load in my country's power system continues to increase, which intensifies the pressure on power grid peak regulation. In order to improve the peak-shaving capacity of the power grid and promote the consumption of new energy, combined heat and power units began to participate in the peak-shaving power grid. Tests have shown that when thermal power units actually participate in peak regulation, there is no scientific basis for the magnitude of peak regulation. In the process of load reduction, the efficiency of denitrification equipment is often low or even out of operation due to the low smoke temperature at the inlet of SCR equipment, re...

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Problems solved by technology

However, in the current public technology, there is a lack of a method that can scientifically realize the real-time calculation of the smoke temperature at the SCR inlet of the thermal power unit

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