Simulation of Multi-Objective Smooth Control for Load Power of Wind Turbine Generator System
With the rapid development of wind power technology and the continuous increase in the number of wind turbines,the scale of wind power grid connection is gradually expanding,and the demand for wind power load power stability is also increasing.In order to solve the problem of significant fluctuations in wind power load power,this paper proposes a multi-objective optimization based load power smoothing control method.Firstly,the battery en-ergy storage system was used to compensate the fluctuating power,the intervention frequency was reduced by setting the intervention threshold,and the weight of smooth control was calculated by the extreme learning machine algorithm;Then the control strategy of Grid-tie inverter was optimized to improve the stability of grid connected process;Finally,the Flywheel energy storage system was added to absorb the excess kinetic energy and compensate the electric energy when the power is lost,so that the capacity of the battery energy storage system was reduced and the cost was reduced while achieving the smooth control effect.The simulation experimental results based on real data show that the pro-posed method reduces power fluctuations by 6.42％,effectively improves the effect of load power smoothing control,improves the stability of wind turbine operation,and reduces the negative impact of power fluctuations on the power grid.
Wind power generationSmooth controlBattery energy storage systemExtreme learning machine
NETL
NSTL
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