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Research on APF allocation optimization method of offshore wind power based on variation coefficient synthetic weighting method
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Siqing Sheng, Yanwen Bao
Renewable Energy Resources | 2024, 42(3) : 370 - 377
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Renewable Energy Resources | 2024, 42(3): 370-377
Research on APF allocation optimization method of offshore wind power based on variation coefficient synthetic weighting method
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Siqing Sheng, Yanwen Bao
Affiliations
  • 1 School of Electrical & Electronic Engineering North China Electric Power University Baoding 071003 China
Published: 2024-03-20
Outline
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With the proposal of the "double carbon" goal, the structure of the new power system with new energy as the main body has changed significantly, especially the access of large capacity offshore wind power units, which has brought harmonic and other power quality problems to the grid. In order to study the characteristics of low frequency harmonics generated by fan connection, firstly, a theoretical model of low frequency harmonic content in the gridconnected current of fan is established. Then, an offshore wind power simulation model is built on the simulation software ETAP to verify the output harmonic characteristics of the wind farm under different output conditions. Finally, based on the output harmonic characteristics of the wind farm, the variation coefficient synthetic weighting method is proposed to optimize the configuration of the active power filter (APF) in the wind farm to improve the control effect of the harmonic in the wind farm, and the effectiveness of the method is verified by simulation based on an actual example.

offshore wind power  /  low harmonics  /  variation coefficient synthetic weighting  /  active filter
Siqing Sheng, Yanwen Bao. Research on APF allocation optimization method of offshore wind power based on variation coefficient synthetic weighting method[J]. Renewable Energy Resources, 2024 , 42 (3) : 370 -377 .
Year 2024 volume 42 Issue 3
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Article Info
  • Receive Date:2023-03-07
  • Online Date:2025-07-22
  • Published:2024-03-20
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  • Received:2023-03-07
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Affiliations
    1 School of Electrical & Electronic Engineering North China Electric Power University Baoding 071003 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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