The Study On Flexible Power Generation Strategy Of Thermal Power Plant Based On Hybrid Optimization Algorithm

This paper mainly uses the idea of hybrid algorithm to make up for the insufficiency of the single algorithm in the solving ability.It improves the learning ability of the artificial bee colony algorithm by mixing the artificial bee colony algorithm and the ant colony algorithm,and retains its better search ability so as to facilitate Good use in the optimization of plant-level load distribution problems under multi-objective planning.In this paper,a power plant with three generator sets is taken as the research object,and the performance of the hybrid intelligence algorithm used is also verified by a power plant with ten generator sets.The flexible control strategy mainly refers to the decision-making process of establishing a decision-making library to carry out auxiliary load distribution.The so-called flexible control strategy is mainly carried out on two levels.The first is to solve the problem of load distribution at the plant level under multi-objective optimization.By learning the swarm intelligence algorithm,a hybrid ant colony algorithm and artificial bee colony algorithm are proposed.Intelligent algorithms greatly improve the search ability and optimization ability of the algorithm.The second is to conduct in-depth research on the weight coefficients in the multi-objective dynamic programming problem,use the analytic hierarchy process to determine the weight coefficients,and design the relevant alternatives.The feasibility and accuracy of the verification scheme are verified through simulation calculations.The research results show that compared with the traditional single intelligence algorithm,the ant colony-artificial colony hybrid intelligence algorithm presented in this paper has better performance in terms of convergence speed and search ability,and can provide more power distribution decision for the power plant.Scientific reference.By comparing several different weight coefficient allocation schemes,the flexibility characteristics of the control strategy can be reflected,and the simulation results are in line with the design of the scheme,which proves the reliability and accuracy of the scheme.The result shows that the thermal power plant flexibility control strategy provided by the hybrid intelligence algorithm has certain guiding significance for solving practical problems.