Optimization Method for Primary Frequency Control of Hydraulic Turbine Governor Based on Hybrid Particle Swarm Optimization
The conventional optimization method for primary frequency regulation of water turbine governors mainly uses the power feedback frequency difference superposition mode to determine the primary frequency regulation action,which is easily affected by the frequency difference cancellation effect,resulting in excessive frequency regulation disturbance under different working conditions.Therefore,it is necessary to design a new optimization method for primary frequency regulation of water turbine governors based on hybrid particle swarm optimization algorithm.By analyzing the primary frequency regulation characteristics of the water turbine governor and using a hybrid particle swarm optimization algorithm,the optimization of the primary frequency regulation of the water turbine governor was achieved.The experimental results show that the designed mixed particle swarm optimization method for primary frequency regulation of water turbine governor has lower frequency disturbance under different operating conditions,proving that the optimization effect of the designed primary frequency regulation optimization method is good,reliable,and has certain application value.It has made a certain contribution to reducing the operating load of water turbine and improving the operational safety of water turbine units.
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