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Energy Management of Green Port Multi-Energy Microgrid Based on Fuzzy Logic Control

Author

Listed:
  • Yu Deng

    (Department of Electrical Automation, Shanghai Maritime University, Shanghai 201306, China)

  • Jingang Han

    (Department of Electrical Automation, Shanghai Maritime University, Shanghai 201306, China)

Abstract

The green port multi-energy microgrid, featuring renewable energy generation, hydrogen energy, and energy storage systems, is an important gateway to achieve the net-zero emission goal. But there are many forms of energy in green port multi-energy microgrid systems, the power fluctuates frequently, and the port loads with large fluctuations and fast changes. These factors can easily lead to the problem of the state of charge exceeding the limit of the energy storage system. To distribute the fluctuating power in the green port multi-energy microgrid system reasonably and maintain the state of charge (SOC) of the hybrid energy storage system in an moderate range, an energy management strategy (EMS) based on dual-stage fuzzy control with a low pass-filter algorithm is proposed in this paper. First, the mathematical model of a green port multi-energy microgrid system is established. Then, fuzzy rules are designed, and the dual-stage fuzzy controller is used to change the time constant of the low-pass filter (LPF) and modify the initial power distribution by an LPF algorithm. Finally, simulation models are built in Matlab 2016a/Simulink. The simulation results demonstrate that, compared with other algorithms under the control of the EMS proposed in this paper, the high-frequency component in the flywheel power is smaller, and the SOC of the supercapacitor is maintained in a reasonable range of 34–78%, which extends the lifespan of the flywheel and supercapacitor. Additionally, it has a faster automatic adjustment ability for the state of charge of the energy storage system, which is conducive to better maintaining the stable operation of green port multi-energy microgrid systems.

Suggested Citation

  • Yu Deng & Jingang Han, 2024. "Energy Management of Green Port Multi-Energy Microgrid Based on Fuzzy Logic Control," Energies, MDPI, vol. 17(14), pages 1-26, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3601-:d:1440357
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    References listed on IDEAS

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    1. Dimitrios Cholidis & Nikolaos Sifakis & Nikolaos Savvakis & George Tsinarakis & Avraam Kartalidis & George Arampatzis, 2025. "Enhancing Port Energy Autonomy Through Hybrid Renewables and Optimized Energy Storage Management," Energies, MDPI, vol. 18(8), pages 1-37, April.

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