Coal-burning unit load distribution method and device

Abstract

The present invention relates to a coal-burning unit load distribution method and device. Based on a particle swarm optimization algorithm, a Pareto frontier solution set is divided into a plurality of regions by using a proportional balancing mechanism, wherein each region is corresponding to only one optimal solution; when the algorithm finds that a small part of non-inferior solutions exists in a certain region, a particle swarm obtains more solution sets according to the non-inferior solutions; and new particles are explored through using a jump mechanism so that the premature of the solution sets can be prevented. With the coal-burning unit load distribution method and device of the invention adopted, under a premise that a coal-burning unit can satisfy the compulsory requirement of a power grid for load adjustment and the constraint condition of the unit, the reasonable distribution of load can be realized, economic and environmental protection operation can be achieved, and the economic competitiveness of the power generation of a whole power plant can be improved.

Description

technical field [0001] The invention relates to the technical field of thermal power, in particular to a load distribution method and device for a coal-fired unit. Background technique [0002] Different types of coal-fired units have different coal consumption characteristics and pollutant emission characteristics for power supply. The same type of coal-fired units, due to the differences in manufacturing, construction and operation levels of the coal-fired units themselves, have different coal consumption characteristics for power supply and pollutant emission characteristics. has a difference. Carrying out load optimization distribution scheduling is to realize the multi-objective optimization of reducing the coal consumption of power supply of the whole plant (network) and reducing pollutant emissions under the premise of ensuring the continuous and safe operation of coal-fired units, by selecting an appropriate load optimization distribution plan. [0003] Particle Swa...

AI Technical Summary

Problems solved by technology

In the traditional technology, the particle swarm optimization algorithm has been applied to the optimal load distribution of coal-fired units, but the particle swarm optimization algorithm in the traditional technology cannot realize the diversity and balance of the Pareto (Pareto) frontier solution set, so according to the The Pareto frontier solution set cannot reasonably allocate the load of coal-fired units

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