STRATEGY OF ENERGY STORAGE MPC TO SMOOTH GRID-CONNECTED POWER FLUCTUATION OF DISTRIBUTED WIND POWER
This paper proposes a model predictive control strategy of wind-storage combined operation to solve the problem of grid-connected power fluctuation due to randomness and seasonal imbalance of distributed wind power generation.A wind-storage integrated operation model was established with the objectives of minimizing grid-connected power fluctuations,optimizing storage output,and minimizing energy losses,and Matlab quadratic programming was used to solve the grid-connected power of the wind power and the output power of the energy storage.In addition,a model predictive control algorith is used to optimize the charging and discharging power of battery storage to achieve real-time rolling optimization of the wind-storage grid-connected power,which maintains the storage SOC within a reasonable range and reduces the number of battery overruns.Finally,the example is selected to optimize the operation of a distributed wind farm in Inner Mongolia with different time scales of 1 and 10 min in the annual measured output power recording data.The simulation results show that the proposed method can optimize energy storage charging and discharging in real-time to reduce the grid-connected power fluctuations further and improve the economic operation of the combined wind and storage system.
model predictive control(MPC)wind powerquadratic programmingbattery storagestate of charge
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