Under the concept of global green aviation, electric aircraft will be a hot topic in future aviation technology research. In order to study the energy interaction between the charging system of electric aircraft and the airport energy system, and to comprehensively evaluate the feasibility of the interaction between electric aircraft and airport microgrids, this paper proposes a dual-objective planning framework for the interaction between electric aircraft and airport microgrids. The research focuses on the optimal scheduling of electric aircraft charging and the green economic optimization scheduling of airport microgrids. Furthermore, a ground testing verification platform for electric aircraft airport microgrid systems is built based on the Typhoon and RT-LAB real-time simulation test platforms. The platform includes a real-time simulation model of microgrids containing energy units such as photovoltaics, fuel cells, and energy storage, as well as electric aircraft loads. The two-stage stochastic optimization energy management strategy algorithm is configured into the energy management system based on RT-LAB for real-time simulation experiments. Experimental results demonstrate that the energy management system has good robustness and optimization control effectiveness.

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Energy Optimization Interaction Technology Between Electric Aircraft and Airport Microgrids

  • Yongqi Liu,
  • Lina Song,
  • Tangan Wang,
  • Yuchen Wu,
  • Tao Lei,
  • Xiaobin Zhang

摘要

Under the concept of global green aviation, electric aircraft will be a hot topic in future aviation technology research. In order to study the energy interaction between the charging system of electric aircraft and the airport energy system, and to comprehensively evaluate the feasibility of the interaction between electric aircraft and airport microgrids, this paper proposes a dual-objective planning framework for the interaction between electric aircraft and airport microgrids. The research focuses on the optimal scheduling of electric aircraft charging and the green economic optimization scheduling of airport microgrids. Furthermore, a ground testing verification platform for electric aircraft airport microgrid systems is built based on the Typhoon and RT-LAB real-time simulation test platforms. The platform includes a real-time simulation model of microgrids containing energy units such as photovoltaics, fuel cells, and energy storage, as well as electric aircraft loads. The two-stage stochastic optimization energy management strategy algorithm is configured into the energy management system based on RT-LAB for real-time simulation experiments. Experimental results demonstrate that the energy management system has good robustness and optimization control effectiveness.