Based on the actual frequency regulation requirements of wind farm stations

the development of optimal configuration calculation of hybrid energy storage can achieve the balance between reducing the cost of frequency regulation service and the investment cost of hybrid energy storage. Therefore

a kind of two-layer optimal configuration model for hybrid energy storage assisted wind power frequency regulation based on fuzzy logic predictive control is proposed. The upper layer model consists of such six factors as hybrid energy storage investment cost

operation and maintenance cost

replacement and utilization cost

electricity deviation cost

wind power frequency regulation benefit and promotion of new energy consumption benefit so to provide constraints on the power and capacity of hybrid energy storage in the lower model. The lower layer model constructs an energy optimization allocation strategy using fuzzy logic control for single-step hybrid energy storage and wind power frequency regulation

which significantly reduces the calculation time required for the strategy and

at the same time

eliminates the need for frequent charging and discharging of battery energy storage. Moreover

it provides the basis for accounting the operating cost and benefit of the upper layer model. Additionally

the intelligent algorithms are used to optimize and solve the model. Finally

the simulation and analysis are performed based on the actual operation data of one wind farm in Zhejiang province

and both effectiveness and economic performance of the method proposed in the paper are verified by the result.