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Control strategy of FESS in wind farms based on fuzzy Kalman filter and improved sliding mode control
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Shiqi Wang1, 2, Guangchen Liu1, 2, 3, Guowei Chen4, Jianwei Zhang1, 2, 3, Qiang Yao4, Guizhen Tian1, 2, 3
Renewable Energy Resources | 2024, 42(7) : 901 - 907
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Renewable Energy Resources | 2024, 42(7): 901-907
Control strategy of FESS in wind farms based on fuzzy Kalman filter and improved sliding mode control
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Shiqi Wang1, 2, Guangchen Liu1, 2, 3, Guowei Chen4, Jianwei Zhang1, 2, 3, Qiang Yao4, Guizhen Tian1, 2, 3
Affiliations
  • 1 Inner Mongolia University of Technology Hohhot 010080 China
  • 2 Ministry of Education Engineering Research Center of Large Energy Storage Technology Hohhot 010080 China
  • 3 Intelligent Energy Technology and Equipment Engineering Research Centre of Colleges and Universities Hohhot 010080 China
  • 4 State Grid East inner Mongolia Electric Power Synthesis Energy Co., Ltd. Hohhot 010010 China
Published: 2024-07-20
Outline
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Installing a certain capacity of flywheel energy storage system (FESS) at the grid connection of wind farms can effectively smooth the gridconnected power and improve the gridfriendliness of wind farms. To improve the power response speed of FESS and enhance the smoothing effect of wind power fluctuation while avoiding overcharge/overdischarge of FESS, this paper proposes a control strategy for FESS based on a fuzzy Kalman filter and the improved sliding mode control(SMC). The Kalman gain is adaptively adjusted according to the realtime speed and power of FESS. The difference between the filtering result and the wind farm output power is used as the input of the SMC to realize the power control of FESS. The simulation results show that the control strategy proposed in this paper has good dynamic response characteristics and the wind power can be effectively smoothed, thus meeting the requirements of grid connection. The flywheel speed is kept within the limit during the smoothing process, which extends the service life of FESS.

wind power  /  flywheel energy storage  /  sliding mode control  /  Kalman filter  /  fuzzy control
Shiqi Wang, Guangchen Liu, Guowei Chen, Jianwei Zhang, Qiang Yao, Guizhen Tian. Control strategy of FESS in wind farms based on fuzzy Kalman filter and improved sliding mode control[J]. Renewable Energy Resources, 2024 , 42 (7) : 901 -907 .
Year 2024 volume 42 Issue 7
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Article Info
  • Receive Date:2022-12-18
  • Online Date:2025-07-22
  • Published:2024-07-20
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  • Received:2022-12-18
Funding
Affiliations
    1 Inner Mongolia University of Technology Hohhot 010080 China
    2 Ministry of Education Engineering Research Center of Large Energy Storage Technology Hohhot 010080 China
    3 Intelligent Energy Technology and Equipment Engineering Research Centre of Colleges and Universities Hohhot 010080 China
    4 State Grid East inner Mongolia Electric Power Synthesis Energy Co., Ltd. Hohhot 010010 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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