Abstract:In view of the existing optimization methods that were complex and easy to fall into local optimum, a method optimizing proportional-integral-differential control parameter based on seeker optimization algorithm was proposed for hydraulic turbine governing system. In order to verify the feasibility of the algorithm, a nonlinear model of hydraulic turbine governing system was established, and the integrated time absolute error of the rotational speed error in the hydraulic turbine generating set was used as the objective function of the optimization algorithm. In order to verify the effectiveness of the optimization results, the control effect of seeker optimization algorithm was compared with that of particle swarm optimization in the references. The simulation results show that under 5% frequency disturbance, seeker optimization algorithm has converged since the 29th iteration, and the system optimized by seeker optimization algorithm can be stable within 8 seconds, and the system overshoot is 1.6% at this time; under 10% load disturbance, seeker optimization algorithm has converged since the 25th iteration. The optimization effect of seeker optimization algorithm is basically the same as that of particle swarm optimization. Both stabilize the system within 10 seconds, but that by the seeker optimization algorithm is smaller than by the particle swarm optimization, which indicates that seeker optimization algorithm has a better search function and can partly improve the dynamic performance of the unit under isolated operating conditions.
古志,曾云*,李敏,吴一凡,侯睿,钱晶. 基于SOA的水轮机调速系统PID参数优化[J]. 排灌机械工程学报, 2021, 39(6): 583-588.
GU Zhi,ZENG Yun*,LI Min,WU Yifan,HOU Rui,Qian Jing. Optimization of PID parameters of hydraulic turbine governing system based on SOA. Journal of Drainage and Irrigation Machinery Engin, 2021, 39(6): 583-588.