DOI QR코드

DOI QR Code

A novel smooth switching control strategy for multiple photovoltaic converters in DC microgrids

  • Zhang, Qinjin (Marine Engineering College, Dalian Maritime University) ;
  • Hu, Wangbao (Marine Engineering College, Dalian Maritime University) ;
  • Liu, Yancheng (Marine Engineering College, Dalian Maritime University) ;
  • Zhang, Hanwen (Marine Engineering College, Dalian Maritime University) ;
  • Wang, Honglai (Marine Engineering College, Dalian Maritime University)
  • 투고 : 2021.08.15
  • 심사 : 2021.11.24
  • 발행 : 2022.02.20

초록

With the photovoltaic (PV) penetration rate increasing in PV-storage-based DC microgrids, the conventional PV controller with only the maximum power point tracking (MPPT) control function can hardly meet the needs of the coordinated operation. The PV converter should operate at the MPPT or the constant voltage droop (CVD) mode according to the load demand. Two sets of relatively independent control loops are used to control the two modes. Inevitably, bus voltage and PV output power fluctuations are caused in the process of mode switching. This paper proposes a novel smooth switching control strategy for the smooth transition of multiple PV converters between MPPT and CVD modes. When combined with the PV array output characteristic curve, the value of dp/di is selected as the control variable. By tracking different dp/di command values, the PV converter can realize the control of the MPPT mode, the CVD mode, and smooth switching between the two modes. The MPPT and CVD modes are unified in the sense of using the same control loop, which avoids control loop switching during the PV mode switching. Finally, the effectiveness of the novel smooth switching control strategy is verified by the simulation and hardware in loop (HIL) experimental tests.

키워드

과제정보

This work was funded by the National Natural Science Foundation of China under Grant 51709028 and 51979021, the Fundamental Research Funds for the Central Universities under Grant 3132019317, and the High-level Talent Innovation Support Plan of Dalian city under Grant 2019RQ008.

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