IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v282y2021ipas0306261920315634.html
   My bibliography  Save this article

Modular multilevel converter based multi-terminal hybrid AC/DC microgrid with improved energy control method

Author

Listed:
  • Xiao, Qian
  • Mu, Yunfei
  • Jia, Hongjie
  • Jin, Yu
  • Hou, Kai
  • Yu, Xiaodan
  • Teodorescu, Remus
  • Guerrero, Josep M.

Abstract

With the large-scale integration of the distribution generations (DGs) and the increasing medium-voltage and low-voltage DC power demands, multi-terminal hybrid AC/DC microgrid has drawn great attention from researchers around the world. In order to reduce the number of power conversion stages and meet DC transmission demands under different DC voltage levels, this paper proposes a four-terminal interconnection scheme of the hybrid AC/DC microgrid, connecting one medium-voltage AC (MVAC) terminal, one medium-voltage DC (MVDC) terminal and two low-voltage DC (LVDC) terminals. The proposed interconnection scheme includes a modular multilevel converter (MMC) as the main interlinking converter of the MVAC grid and MVDC microgrid, and a series of dual active bridges (DAB) converters as two isolated LV DC microgrid interfaces. It has more flexibility for power supplies, especially MVDC transmission, and a more robust tolerance for unequal power distribution between the two LVDC Microgrids. To realize the DC capacitor voltage balancing control, an improved energy control method is proposed in this paper. The proposed method keeps DC capacitor voltage balance and AC current zero on the MVDC transmission lines, which contributes to the stability of the MVDC microgrid. In addition, the symmetry of the AC currents is also guaranteed with this control method. Validation results of a four-terminal hybrid AC/DC microgrid verify the effectiveness of the proposed microgrid and control scheme.

Suggested Citation

  • Xiao, Qian & Mu, Yunfei & Jia, Hongjie & Jin, Yu & Hou, Kai & Yu, Xiaodan & Teodorescu, Remus & Guerrero, Josep M., 2021. "Modular multilevel converter based multi-terminal hybrid AC/DC microgrid with improved energy control method," Applied Energy, Elsevier, vol. 282(PA).
    • Handle: RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920315634
    DOI: 10.1016/j.apenergy.2020.116154
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920315634
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2020.116154?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Qiu, Haifeng & Gu, Wei & Pan, Jing & Xu, Bin & Xu, Yinliang & Fan, Miao & Wu, Zhi, 2018. "Multi-interval-uncertainty constrained robust dispatch for AC/DC hybrid microgrids with dynamic energy storage degradation," Applied Energy, Elsevier, vol. 228(C), pages 205-214.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiao, Qian & Mu, Yunfei & Jia, Hongjie & Jin, Yu & Yu, Xiaodan & Teodorescu, Remus & Guerrero, Josep M., 2022. "Novel modular multilevel converter-based five-terminal MV/LV hybrid AC/DC microgrids with improved operation capability under unbalanced power distribution," Applied Energy, Elsevier, vol. 306(PB).
    2. Abulanwar, Sayed & Ghanem, Abdelhady & Rizk, Mohammad E.M. & Hu, Weihao, 2021. "Adaptive synergistic control strategy for a hybrid AC/DC microgrid during normal operation and contingencies," Applied Energy, Elsevier, vol. 304(C).
    3. Ji, Haoran & Chen, Sirui & Yu, Hao & Li, Peng & Yan, Jinyue & Song, Jieying & Wang, Chengshan, 2022. "Robust operation for minimizing power consumption of data centers with flexible substation integration," Energy, Elsevier, vol. 248(C).
    4. Khosravi, Nima & Baghbanzadeh, Rasoul & Oubelaid, Adel & Tostado-Véliz, Marcos & Bajaj, Mohit & Hekss, Zineb & Echalih, Salwa & Belkhier, Youcef & Houran, Mohamad Abou & Aboras, Kareem M., 2023. "A novel control approach to improve the stability of hybrid AC/DC microgrids," Applied Energy, Elsevier, vol. 344(C).
    5. Heidari, Saeed & Hatami, Alireza & Eskandari, Mohsen, 2022. "An intelligent capacity management system for interface converter in AC-DC hybrid microgrids," Applied Energy, Elsevier, vol. 316(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Singh, Bharat & Kumar, Ashwani, 2023. "Optimal energy management and feasibility analysis of hybrid renewable energy sources with BESS and impact of electric vehicle load with demand response program," Energy, Elsevier, vol. 278(PA).
    2. Zhang, Jiyuan & Tang, Hailong & Chen, Min, 2019. "Linear substitute model-based uncertainty analysis of complicated non-linear energy system performance (case study of an adaptive cycle engine)," Applied Energy, Elsevier, vol. 249(C), pages 87-108.
    3. Sun, Li & Li, Guanru & Hua, Q.S. & Jin, Yuhui, 2020. "A hybrid paradigm combining model-based and data-driven methods for fuel cell stack cooling control," Renewable Energy, Elsevier, vol. 147(P1), pages 1642-1652.
    4. Wang, Zhimeng & Xuan, Ang & Shen, Xinwei & Du, Yunfei & Sun, Hongbin, 2023. "A robust planning model for offshore microgrid considering tidal power and desalination," Applied Energy, Elsevier, vol. 350(C).
    5. Zheng, Lingwei & Zhou, Xingqiu & Qiu, Qi & Yang, Lan, 2020. "Day-ahead optimal dispatch of an integrated energy system considering time-frequency characteristics of renewable energy source output," Energy, Elsevier, vol. 209(C).
    6. Zhou, Bo & Ai, Xiaomeng & Fang, Jiakun & Yao, Wei & Zuo, Wenping & Chen, Zhe & Wen, Jinyu, 2019. "Data-adaptive robust unit commitment in the hybrid AC/DC power system," Applied Energy, Elsevier, vol. 254(C).
    7. Chang Ye & Shihong Miao & Yaowang Li & Chao Li & Lixing Li, 2018. "Hierarchical Scheduling Scheme for AC/DC Hybrid Active Distribution Network Based on Multi-Stakeholders," Energies, MDPI, vol. 11(10), pages 1-16, October.
    8. Qiu, Haifeng & You, Fengqi, 2020. "Decentralized-distributed robust electric power scheduling for multi-microgrid systems," Applied Energy, Elsevier, vol. 269(C).
    9. Qiu, Haifeng & Gu, Wei & Liu, Pengxiang & Sun, Qirun & Wu, Zhi & Lu, Xi, 2022. "Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective," Energy, Elsevier, vol. 251(C).
    10. Bastami, Houman & Shakarami, Mahmoud Reza & Doostizadeh, Meysam, 2021. "A decentralized cooperative framework for multi-area active distribution network in presence of inter-area soft open points," Applied Energy, Elsevier, vol. 300(C).
    11. Jiang, Tuo & Min, Yong & Zhou, Guiping & Chen, Lei & Chen, Qun & Xu, Fei & Luo, Huanhuan, 2021. "Hierarchical dispatch method for integrated heat and power systems considering the heat transfer process," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    12. Huang, Hongxu & Li, Zhengmao & Beng Gooi, Hoay & Qiu, Haifeng & Zhang, Xiaotong & Lv, Chaoxian & Liang, Rui & Gong, Dunwei, 2023. "Distributionally robust energy-transportation coordination in coal mine integrated energy systems," Applied Energy, Elsevier, vol. 333(C).
    13. Choeum, Daranith & Choi, Dae-Hyun, 2021. "Trilevel smart meter hardening strategy for mitigating cyber attacks against Volt/VAR optimization in smart power distribution systems," Applied Energy, Elsevier, vol. 304(C).
    14. Hou, Qingchun & Yu, Yanghao & Du, Ershun & He, Hongjie & Zhang, Ning & Kang, Chongqing & Liu, Guojing & Zhu, Huan, 2020. "Embedding scrapping criterion and degradation model in optimal operation of peak-shaving lithium-ion battery energy storage," Applied Energy, Elsevier, vol. 278(C).
    15. Àlex Alonso-Travesset & Helena Martín & Sergio Coronas & Jordi de la Hoz, 2022. "Optimization Models under Uncertainty in Distributed Generation Systems: A Review," Energies, MDPI, vol. 15(5), pages 1-40, March.
    16. Xinghua Liu & Shenghan Xie & Chen Geng & Jianning Yin & Gaoxi Xiao & Hui Cao, 2021. "Optimal Evolutionary Dispatch for Integrated Community Energy Systems Considering Uncertainties of Renewable Energy Sources and Internal Loads," Energies, MDPI, vol. 14(12), pages 1-16, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920315634. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.