YANG Deyou, WEN Jiaxin, Kevin Chan, et al. Smoothing and Dispatching the Output of Wind/Battery Energy Storage Hybrid System via Model Prediction Control[J]. 2017, 43(3): 1043-1048.
YANG Deyou, WEN Jiaxin, Kevin Chan, et al. Smoothing and Dispatching the Output of Wind/Battery Energy Storage Hybrid System via Model Prediction Control[J]. 2017, 43(3): 1043-1048.DOI:
The application of large-scale energy storage makes wind farms more dispatchable
which lowers operating risks of the grid from interconnected large scale wind farms.In order to make full use of flexibility and controllability of energy storage to improve the schedulability of wind farms
we put forward a rolling and dispatching control strategy with a BESS based on model predictive control(MPC).The proposed control scheme firstly plans expected output
i.e.dispatching order of wind/battery energy storage hybrid system based on the predicted output of the wind farm
then calculates the order in the predictive horizon with the receding horizon optimization and the limitations of energy storage such as state of charge and depth of charge/discharge to maintain the combination of active output of the wind farm and the BESS to track dispatching order at the extreme.Moreover
we analyze the effectiveness of the proposed strategy with different sizes of capacity of the BESS based on the actual output of a certain wind farm in the northeast of China.The results show that the proposed strategy that controls the BESS can improve the schedulability of the wind farm and maintain smooth output of wind/battery energy storage hybrid system meanwhile tracking the dispatching order.