Aiming at solving the problem of load optimization for coal-fired thermal power units under large-scale variable load conditions

and considering the global optimization and real-time response requirements of plant-level load optimal allocation

an improved artificial bee colony algorithm is proposed. The algorithm establishes a sequence optimization table for full load interval to meet the needs of dynamic programming algorithm in the offline state

and then realizes online optimal allocation algorithm realized by using the inverse sequence allocation method in dynamic programming. This improved algorithm can effectively complete the load optimal allocation calculation in full load range

and reduce the computational complexity of optimal allocation at the same time. The example shows that

under a certain unit load step

using the improved artificial bee colony algorithm for off-line tabulation can reduce the time required for tabulation. The constructed optimization sequence table can be effectively used for real-time online optimization of the unit

thus to improve the economy of the unit at different loads.