Energy Management for Ground-Generation Airborne Wind Energy Systems

Authors

  • Pablo Flores-Mart´ın Department of Electrical Engineering, CT Ingenieros A.A.I. S.L., Avenida Leonardo Da Vinci 22, 28050 Getafe (Madrid), SpainUniversidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganés´(Madrid), Spain; CT Ingenieros A.A.I. S.L., Avenida Leonardo Da Vinci 22, 28050 Getafe (Madrid), Spain Author
  • Carolina Nicolas-Mart´ın Department of Electrical Engineering, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganes´ (Madrid), Spain Author
  • Osmany R. Pérez-Aballe Department of Electrical Engineering, University of Moa, Moa, Holgu´ın, Cuba Author
  • Jorge González-Garc´ıa Department of Aerospace Engineering, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganes´ (Madrid), Spain Author
  • David Santos-Mart´ın Department of Electrical Engineering, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganes´ (Madrid), Spain Author

DOI:

https://doi.org/10.52152/4546

Keywords:

Airborne Wind Energy, Energy Management System, Microgrid, Stateflow, Renewable Energy Integration.

Abstract

Airborne Wind Energy Systems (AWES) offer a promising alternative to conventional wind turbines, enabling access to highaltitude winds with greater energy yield and reduced infrastructure costs. However, integrating AWES into power grids poses challenges due to their cyclic power generation profile. This research develops an Energy Management System (EMS) to optimize power distribution, load balancing, and energy storage in AWES-based microgrids.

The proposed EMS employs a state-based control approach implemented in MATLAB/Simulink’s Stateflow environment, dynamically adjusting power flows to stabilize the grid. A comprehensive simulation framework in Simulink models AWES interactions with battery storage and grid loads, allowing real-time validation of operational scenarios. Results demonstrate the EMS’s effectiveness in mitigating power fluctuations, enhancing grid resilience, and maximizing renewable energy utilization. This study contributes to the broader integration of AWES into decentralized energy systems, supporting the transition toward reliable and sustainable energy solutions.

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Published

2025-07-25

Issue

Section

Articles