Research on Performance and Parameter Optimization of Combined Circulation System Based on DE-INSGA-Ⅱ
In order to study the matching of thermal parameters with optimal cycle efficiency after long-term operation of the combined cycle system,an improved optimization algorithm is proposed,which integrates the idea of nonlinear optimization and uses the idea of DE(differential evolution)algorithm to improve the initial distribution of the population,and at the same time improves the non-dominated sorting genetic algorithm(NSGA-Ⅱ)cross operator.Taking the maximum bottom cycle efficiency as the objective function and the constraint condition,the multi-objective optimization of the thermal parameter matching of the system is carried out.The simulation results show that the proposed DE-INSGA-Ⅱ(differential evolution algorithm-improved NSGA-Ⅱ)algorithm has good distribution,convergence and strong search ability.Compared with the traditional NSGA-Ⅱ algorithm,the bottom cycle efficiency is increased by 0.44%,the efficiency of heat recovery steam generator is increased by 0.86%,and the efficiency of the steam turbine is increased by 0.15%.This study provides a new reference for the operation of combined cycle units in the subsequent thermal parameter matching process.
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维普
