Fig.1

Power fluctuation mitigation system for a wind power-energy storage hybrid system based on double Kalman filter

Fig.2

Grid-connected power of a wind farm under different δ value

Fig.3

Variation trend of ki under different δ value

Fig.4

Comparison of the power under double Kalman filter and original energy management strategy

Fig.5

Double Kalman filter energy management module

Fig.6

Working flow of a double Kalman filter energy management module

Fig.7

Original output and the power optimized by double Kalman filter

Fig.8

Total power smoothed by the energy storage system under charging state

Fig.9

Secondary power distribution of the hybrid energy storage system

Fig.10

Comparison of the actual grid-connected power and target power

Fig.11

Actual grid-connected power of two energy management strategies in charging state

Fig.12

Comparison of SOC，Ba in charging state under two energy management strategies

Fig.13

Comparison of SOC，Sc in charging state under two energy management strategies

Fig.14

Power fluctuation suppression performances of three energy management strategies for the battery in discharge state

Fig.15

Comparison of SOC，Ba in discharge state under two energy management strategies

Fig.16

Comparison of SOC，Sc in discharge state under two energy management strategies

Fig.17

Comparison of the grid-connected power under two energy management strategies in discharge state

Table 1

Power fluctuation rates of wind power grid connection under two energy management strategies