Hybrid Optimization Control of Reheat Steam Temperature Based on BBO Algorithm

Abstract

Biogeography-Based Optimization (BBO) algorithm is an better global optimization algorithm. Compared with traditional algorithms, BBO algorithm has advantages of less parameters, simple calculation, fast convergence. The supercritical (ultra-supercritical) unit flue-reheat steam temperature object has characteristics such as large inertia and hysteresis. Traditional PID controller parameter setting method is difficult to obtain good control effect. Aiming at this problem, the article put up a hybrid optimization method based on BBO algorithm. The method has a significant comprehensive optimization result in the test of value disturbance, internal disturbances and external disturbance. The optimized PID controller also has better tracking ability and a better performance to fight inside and outside interference. The simulation results show that it's feasible and effective to control the temperature by using the optimized PID controller on flue - reheat steam control system.