Fuzzy PID Parameter Optimization of Hydraulic Turbine Based on Adaptive Hybrid Evolutionary Algorithm

Aiming at the optimization of PID parameters of hydropower units, based on the fuzzy PID controller, the characteristics of water turbine governing system and PID optimization index, the PID of hydro turbine governor is established Parameter optimization model: the self-adaptive hybrid evolution optimization algorithm framework (SAHEL) and fuzzy PID simulation test for 4% and 100% no-load frequency interference and 10% and 50% load frequency interference simulation test are adopted. Compared with traditional differential evolution, fuzzy differential evolution, particle swarm optimization and improved genetic algorithm, the fuzzy PID parameters obtained by the algorithm are compared under different working conditions (frequency disturbance or load disturbance), the number optimal solution not only has a small overshoot, but also has a short transition process time. ITAE index is also good, which is more conducive to the smooth, fast and stable system, and is more conducive to the theory and practice of parameter optimization of steam turbine governing system.