To achieve the new near-zero emission standard of air pollutants

NO_x emission from large-scale coal-fired power plants should be lower than 35 mg/m3. In current engineering practice

the most commonly used low NO_x burner(LNB) technology and selective catalytic reduction(SCR) denitration technology are difficult to realize safe

environmental and economic operation of both the LNB and SCR denitration system simultaneously.Therefore

this paper establishes the cooperative model of the LNB operation adjustment and SCR denitrification of coal-fired boiler

builds up the boiler combustion system model using the improved BP neural network

sets up the SCR denitraion system model applying the improved least squares support vector machine

and further carries out the efficient low NO_x emission control regulation and optimization and develops the cooperative optimization system for efficient low NO_x emission control. In addition

this cooperative optimization system was successfully applied in a 600 MW unit

it can guide the operator to adjust the unit's parameters in real time under any working condition

to ensure the safety

environmental protection and economic operation of the unit.