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An Improved Model Free Predictive Control Suitable for Permanent Magnet Direct Drive Wind Power Generation Systems
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Shengnan LI1, Tingyi HE1, Xin HE1, Peng HE1, Yongchang ZHANG2, Shengan ZHANG2
Electric Drive | 2024, 54(11) : 19 - 25
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Electric Drive | 2024, 54(11): 19-25
An Improved Model Free Predictive Control Suitable for Permanent Magnet Direct Drive Wind Power Generation Systems
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Shengnan LI1, Tingyi HE1, Xin HE1, Peng HE1, Yongchang ZHANG2, Shengan ZHANG2
Affiliations
  • 1. Electric Power Research Institute of Yunnan Power Grid Co.，Ltd.，Kunming 650200，Yunnan，China
  • 2. School of Electrical and Electronic Engineering，North China Electric Power University，Beijing 102206，China
Published: 2024-11-20 doi: 10.19457/j.1001-2095.dqcd25836
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During the joint operation of permanent magnet direct drive wind power generation systems，the changes in motor side parameters may cause problems such as reduce control accuracy and stability on the machine side，which in turn affects the DC bus voltage of the converter，leading to power fluctuations on the grid side and posing a threat to the stability of the power system. When using traditional single vector model free predictive control on the machine side，although it effectively improves system robustness，there is still a problem of poor control effect. Therefore，an improved model free predictive control suitable for permanent magnet direct drive wind power generation systems was proposed to maintain system robustness while improving steady-state control performance. Firstly，the machine side and grid side models during the joint operation of the system were analyzed. Secondly，through the method of the extended finite control set，the traditional finite control set was optimized. Combined with the model free predictive control concept of traditional current difference，the proposed method improves the prediction accuracy of the control method and reduces current and power ripple. Finally，the effectiveness and superiority of the proposed method were verified through experiments.

permanent magnet direct drive  /  model free predictive control（MFPC）  /  finite control set
Shengnan LI, Tingyi HE, Xin HE, Peng HE, Yongchang ZHANG, Shengan ZHANG. An Improved Model Free Predictive Control Suitable for Permanent Magnet Direct Drive Wind Power Generation Systems[J]. Electric Drive, 2024 , 54 (11) : 19 -25 . DOI: 10.19457/j.1001-2095.dqcd25836
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Year 2024 volume 54 Issue 11
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Article Info
doi: 10.19457/j.1001-2095.dqcd25836
  • Receive Date：2024-04-14
  • Online Date：2025-11-11
  • Published：2024-11-20
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  • Received：2024-04-14
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Affiliations
    1. Electric Power Research Institute of Yunnan Power Grid Co.，Ltd.，Kunming 650200，Yunnan，China
    2. School of Electrical and Electronic Engineering，North China Electric Power University，Beijing 102206，China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
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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