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Interconnecting Microgrids via the Energy Router with Smart Energy Management

Author

Listed:
  • Yingshu Liu

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Yue Fang

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Jun Li

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

Abstract

A novel and flexible interconnecting framework for microgrids and corresponding energy management strategies are presented, in response to the situation of increasing renewable-energy penetration and the need to alleviate dependency on energy storage equipment. The key idea is to establish complementary energy exchange between adjacent microgrids through a multiport electrical energy router, according to the consideration that adjacent microgrids may differ substantially in terms of their patterns of energy production and consumption, which can be utilized to compensate for each other’s instant energy deficit. Based on multiport bidirectional voltage source converters (VSCs) and a shared direct current (DC) power line, the energy router serves as an energy hub, and enables flexible energy flow among the adjacent microgrids and the main grid. The analytical model is established for the whole system, including the energy router, the interconnected microgrids and the main grid. Various operational modes of the interconnected microgrids, facilitated by the energy router, are analyzed, and the corresponding control strategies are developed. Simulations are carried out on the Matlab/Simulink platform, and the results have demonstrated the validity and reliability of the idea for microgrid interconnection as well as the corresponding control strategies for flexible energy flow.

Suggested Citation

  • Yingshu Liu & Yue Fang & Jun Li, 2017. "Interconnecting Microgrids via the Energy Router with Smart Energy Management," Energies, MDPI, vol. 10(9), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1297-:d:110315
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    References listed on IDEAS

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    Cited by:

    1. Yingpei Liu & Yan Li & Haiping Liang & Jia He & Hanyang Cui, 2019. "Energy Routing Control Strategy for Integrated Microgrids Including Photovoltaic, Battery-Energy Storage and Electric Vehicles," Energies, MDPI, vol. 12(2), pages 1-16, January.
    2. Gayo-Abeleira, Miguel & Santos, Carlos & Javier Rodríguez Sánchez, Francisco & Martín, Pedro & Antonio Jiménez, José & Santiso, Enrique, 2022. "Aperiodic two-layer energy management system for community microgrids based on blockchain strategy," Applied Energy, Elsevier, vol. 324(C).
    3. Sergio Saponara & Lucian Mihet-Popa, 2019. "Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid," Energies, MDPI, vol. 12(4), pages 1-9, February.
    4. Indrek Roasto & Oleksandr Husev & Mahdiyyeh Najafzadeh & Tanel Jalakas & Jose Rodriguez, 2019. "Voltage Source Operation of the Energy-Router Based on Model Predictive Control," Energies, MDPI, vol. 12(10), pages 1-15, May.
    5. Seongwoo Lee & Joonho Seon & Chanuk Kyeong & Soohyun Kim & Youngghyu Sun & Jinyoung Kim, 2021. "Novel Energy Trading System Based on Deep-Reinforcement Learning in Microgrids," Energies, MDPI, vol. 14(17), pages 1-14, September.
    6. Deng, Jingchuan & Wang, Xinsheng & Chen, Tao & Meng, Fangang, 2023. "An energy router based on multi-hybrid energy storage system with energy coordinated management strategy in island operation mode," Renewable Energy, Elsevier, vol. 212(C), pages 274-284.
    7. Tri-Hai Nguyen & Luong Vuong Nguyen & Jason J. Jung & Israel Edem Agbehadji & Samuel Ofori Frimpong & Richard C. Millham, 2020. "Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    8. Mahdieh Najafzadeh & Natalia Strzelecka & Oleksandr Husev & Indrek Roasto & Kawsar Nassereddine & Dmitri Vinnikov & Ryszard Strzelecki, 2022. "Grid-Forming Operation of Energy-Router Based on Model Predictive Control with Improved Dynamic Performance," Energies, MDPI, vol. 15(11), pages 1-14, May.
    9. Haochen Hua & Yuchao Qin & Jianye Geng & Chuantong Hao & Junwei Cao, 2019. "Robust Mixed H 2 / H ∞ Controller Design for Energy Routers in Energy Internet," Energies, MDPI, vol. 12(3), pages 1-16, January.
    10. Temitayo O. Olowu & Aditya Sundararajan & Masood Moghaddami & Arif I. Sarwat, 2018. "Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey," Energies, MDPI, vol. 11(7), pages 1-32, July.

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