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A control strategy for microgrids: Seamless transfer based on a leading inverter with supercapacitor energy storage system

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  • Serban, Ioan

Abstract

In the current paper, an improved control strategy designed for synchronizing and transferring autonomous microgrids (MGs) to the grid is presented. The proposed approach is based on an MG leading inverter (MGLI) supplied by a supercapacitor energy storage system, which takes over the MG only during a transitory load and distributes it to the available MG supporting inverters (MGSIs). This paper presents the control systems for both the proposed MGLI and the associated MGSIs, the focus being on the specific issues related to MG synchronization and grid transfer. By means of the proposed solution, the operation of the MG and its transition between autonomous and grid-connected modes require merely the adaptation of the MGLI control system, while the MGSIs operation remain unchanged during all MG states. The comprehensive experimental results, which were carried out on a laboratory-scale MG, have shown that the system is kept stable and with minimum disturbance to the local MG voltage and frequency during the analysed events, namely the scheduled MG transfer to the grid, power-flow control during grid-connection operation, and disconnection from the grid, respectively.

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  • Serban, Ioan, 2018. "A control strategy for microgrids: Seamless transfer based on a leading inverter with supercapacitor energy storage system," Applied Energy, Elsevier, vol. 221(C), pages 490-507.
  • Handle: RePEc:eee:appene:v:221:y:2018:i:c:p:490-507
    DOI: 10.1016/j.apenergy.2018.03.122
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    Cited by:

    1. Yang, Chao & Yao, Wei & Fang, Jiakun & Ai, Xiaomeng & Chen, Zhe & Wen, Jinyu & He, Haibo, 2019. "Dynamic event-triggered robust secondary frequency control for islanded AC microgrid," Applied Energy, Elsevier, vol. 242(C), pages 821-836.
    2. Guido Cavraro & Tommaso Caldognetto & Ruggero Carli & Paolo Tenti, 2019. "A Master/Slave Approach to Power Flow and Overvoltage Control in Low-Voltage Microgrids," Energies, MDPI, Open Access Journal, vol. 12(14), pages 1-22, July.
    3. Brandao, Danilo I. & de Araújo, Lucas S. & Caldognetto, Tommaso & Pomilio, José A., 2018. "Coordinated control of three- and single-phase inverters coexisting in low-voltage microgrids," Applied Energy, Elsevier, vol. 228(C), pages 2050-2060.
    4. Haifeng Liang & Yue Dong & Yuxi Huang & Can Zheng & Peng Li, 2018. "Modeling of Multiple Master–Slave Control under Island Microgrid and Stability Analysis Based on Control Parameter Configuration," Energies, MDPI, Open Access Journal, vol. 11(9), pages 1-18, August.
    5. Yang, Bo & Wang, Jingbo & Sang, Yiyan & Yu, Lei & Shu, Hongchun & Li, Shengnan & He, Tingyi & Yang, Lei & Zhang, Xiaoshun & Yu, Tao, 2019. "Applications of supercapacitor energy storage systems in microgrid with distributed generators via passive fractional-order sliding-mode control," Energy, Elsevier, vol. 187(C).
    6. Yuan, Minghan & Fu, Yang & Mi, Yang & Li, Zhenkun & Wang, Chengshan, 2019. "Hierarchical control of DC microgrid with dynamical load power sharing," Applied Energy, Elsevier, vol. 239(C), pages 1-11.
    7. Mi, Yang & Chen, Xin & Ji, Hongpeng & Ji, Liang & Fu, Yang & Wang, Chengshan & Wang, Jianhui, 2019. "The coordinated control strategy for isolated DC microgrid based on adaptive storage adjustment without communication," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    8. dos Santos Neto, Pedro J. & Barros, Tárcio A.S. & Silveira, Joao P.C. & Ruppert Filho, Ernesto & Vasquez, Juan C. & Guerrero, Josep M., 2020. "Power management techniques for grid-connected DC microgrids: A comparative evaluation," Applied Energy, Elsevier, vol. 269(C).
    9. Catalin Petrea Ion & Ioan Serban, 2019. "Seamless Integration of an Autonomous Induction Generator System into an Inverter-Based Microgrid," Energies, MDPI, Open Access Journal, vol. 12(4), pages 1-18, February.
    10. Alessandro Burgio & Daniele Menniti & Nicola Sorrentino & Anna Pinnarelli & Zbigniew Leonowicz, 2020. "Influence and Impact of Data Averaging and Temporal Resolution on the Assessment of Energetic, Economic and Technical Issues of Hybrid Photovoltaic-Battery Systems," Energies, MDPI, Open Access Journal, vol. 13(2), pages 1-26, January.

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