Aiming at solving the problem of coal blending decision-making in flexible operation of coal-fired power units

an intelligent coal blending optimization decision-making method is proposed. Based on the steady-state data screening of the unit operation history data

the SBM dynamic evaluation model of unit efficiency is established

and the unit operation efficiency evaluation is carried out for the steady-state data

and then the coal blending decision database including ambient temperature

humidity

unit power

global efficiency and coal blending scheme is established. For a future decision-making cycle

the unit operating condition vector is obtained according to the day ahead load plan and weather forecast

and the cosine similarity is used to search the best matching historical operating conditions in the decision-making database. According to the matching results and the principle of the highest energy efficiency

the decision-making of coal blending scheme is realized. The example shows that this method is feasible and effective

which can realize the optimization decision of coal blending of coal-fired units

improve the efficiency and flexibility of unit operation

and provide guarantee for the safe operation of new energy power system.