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Research on Grid-connected Control Strategy of Interleaved Flyback CCM Inverter
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Yongquan HOU1, Lifang MA1, Shuang MEI1, Bo WU1, Tan WANG1, Tao LU2
Electric Drive | 2025, 55(6) : 56 - 63
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Electric Drive | 2025, 55(6): 56-63
Research on Grid-connected Control Strategy of Interleaved Flyback CCM Inverter
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Yongquan HOU1, Lifang MA1, Shuang MEI1, Bo WU1, Tan WANG1, Tao LU2
Affiliations
  • 1 State Grid Jiangsu Electric Power Co.,Ltd. Peixian Power Supply Branch,Xuzhou 221600,Jiangsu,China
  • 2 School of Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,Jiangsu,China
Published: 2025-06-20 doi: 10.19457/j.1001-2095.dqcd25597
Outline
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In recent years,the use of microinverters has received a lot of attention as one of the viable methods for residential and commercial PV power conversion systems. Flyback inverters operating in current continuous conduction mode (CCM) have been widely studied for their low output ripple current,high efficiency,and low cost. However,its control duty cycle to output current transfer function has right-half-plane (RHP) zeros,which may cause system instability when the inverter is combined with a high-gain feedback controller. In addition,flyback CCM inverters are subject to grid time-varying voltage disturbances. As a result,the conventional control scheme leads to inaccurate output tracking. An interleaved flyback CCM microinverter iterative learning control (ILC)method was proposed to help the system output converge to the reference trajectory by utilizing the prediction term and the current learning term. Compared with the traditional PI control scheme,the system output globally converges to the reference trajectory without state disturbance,output noise and initial state error.

microinverter  /  current continuous conduction mode (CCM)  /  right-half-plane (RHP) zero  /  iterative learning control (ILC)
Yongquan HOU, Lifang MA, Shuang MEI, Bo WU, Tan WANG, Tao LU. Research on Grid-connected Control Strategy of Interleaved Flyback CCM Inverter[J]. Electric Drive, 2025 , 55 (6) : 56 -63 . DOI: 10.19457/j.1001-2095.dqcd25597
Year 2025 volume 55 Issue 6
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Article Info
doi: 10.19457/j.1001-2095.dqcd25597
  • Receive Date:2024-01-11
  • Online Date:2025-10-30
  • Published:2025-06-20
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History
  • Received:2024-01-11
  • Revised:2024-02-04
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Affiliations
    1 State Grid Jiangsu Electric Power Co.,Ltd. Peixian Power Supply Branch,Xuzhou 221600,Jiangsu,China
    2 School of Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,Jiangsu,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
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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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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