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Robust Mixed H 2 / H ∞ Controller Design for Energy Routers in Energy Internet

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Listed:
  • Haochen Hua

    (Research Institute of Information Technology, Tsinghua University, Beijing 100084, China)

  • Yuchao Qin

    (Research Institute of Information Technology, Tsinghua University, Beijing 100084, China)

  • Jianye Geng

    (College of Computer Science, Sichuan University, Chengdu 610200, China)

  • Chuantong Hao

    (Research Institute of Information Technology, Tsinghua University, Beijing 100084, China)

  • Junwei Cao

    (Research Institute of Information Technology, Tsinghua University, Beijing 100084, China)

Abstract

In this paper, a class of mixed H 2 / H ∞ controller is designed for an energy router (ER) within the scenario of an energy Internet (EI). The considered ER is assumed to have access with photovoltaic panels, wind turbine generators, micro-turbines, fuel cells, diesel engine generators, battery energy storage devices, flywheel energy storage devices, loads, and other ERs. Two types of control targets are considered. First, due to the access of large-scale renewable energy sources, the DC bus voltage deviation within the ER system shall be regulated. Second, an optimal energy management strategy shall be achieved, such that the autonomous power supply-demand balance within each ER is achieved with priority and the rational utilization of controllable power generation devices and energy storage devices are realized. When these objectives are considered simultaneously, the control issues with respect to ER is formulated as a mixed robust H 2 / H ∞ control problem with analytical solutions provided. Several numerical examples are given, and the feasibility and effectiveness of the proposed method are demonstrated.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:340-:d:199961
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    References listed on IDEAS

    as
    1. Haochen Hua & Chuantong Hao & Yuchao Qin & Junwei Cao, 2018. "A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization," Energies, MDPI, vol. 11(6), pages 1-20, June.
    2. 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.
    3. Kuang, Yonghong & Zhang, Yongjun & Zhou, Bin & Li, Canbing & Cao, Yijia & Li, Lijuan & Zeng, Long, 2016. "A review of renewable energy utilization in islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 504-513.
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    Cited by:

    1. Junwei Cao & Wanlu Zhang & Zeqing Xiao & Haochen Hua, 2019. "Reactive Power Optimization for Transient Voltage Stability in Energy Internet via Deep Reinforcement Learning Approach," Energies, MDPI, vol. 12(8), pages 1-17, April.

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