Parameter optimization of main steam temperature system controller based on PSO cuckoo fusion algorithm

doi:10.3969/j.issn.1000-1565.2021.02.016

Abstract

Abstract: The main steam temperature system of power plant has the characteristics of large inertia and large time delay. The classical cascade PID control is difficult to implement the precise control of the main steam temperature system. In this paper, the fusion algorithm of particle swarm optimization and cuckoo is used to optimize the controller parameters of the main steam temperature control system. By selecting the appropriate objective function, the main steam temperature control system of a 600 MW once-through boiler is optimized. Compared with the control results of PSO algorithm and practical tuning method, PSO-cuckoo fusion algorithm has better global optimization characteristics, better dynamic performance and anti-interference ability.

Key words: particle swarm optimization, cuckoo algorithm, main steam temperature system

CLC Number:

TP273

WANG Jin, CAI Tiaoyang, REN Meng, LYV Qing. Parameter optimization of main steam temperature system controller based on PSO cuckoo fusion algorithm[J]. Journal of Hebei University(Natural Science Edition), 2021, 41(2): 218-224.

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