Power Control of Direct Interconnection Technique for Airborne Wind Energy Systems
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- Archer, Cristina L. & Delle Monache, Luca & Rife, Daran L., 2014. "Airborne wind energy: Optimal locations and variability," Renewable Energy, Elsevier, vol. 64(C), pages 180-186.
- Coleman, J. & Ahmad, H. & Pican, E. & Toal, D., 2014. "Modelling of a synchronous offshore pumping mode airborne wind energy farm," Energy, Elsevier, vol. 71(C), pages 569-578.
- Yingying Zhao & Dongsheng Li & Ao Dong & Dahai Kang & Qin Lv & Li Shang, 2017. "Fault Prediction and Diagnosis of Wind Turbine Generators Using SCADA Data," Energies, MDPI, vol. 10(8), pages 1-17, August.
- Pican, E. & Omerdic, E. & Toal, D. & Leahy, M., 2011. "Analysis of parallel connected synchronous generators in a novel offshore wind farm model," Energy, Elsevier, vol. 36(11), pages 6387-6397.
- Heptonstall, Philip & Gross, Robert & Greenacre, Philip & Cockerill, Tim, 2012. "The cost of offshore wind: Understanding the past and projecting the future," Energy Policy, Elsevier, vol. 41(C), pages 815-821.
- Cherubini, Antonello & Papini, Andrea & Vertechy, Rocco & Fontana, Marco, 2015. "Airborne Wind Energy Systems: A review of the technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1461-1476.
- Salari, Mahdi Ebrahimi & Coleman, Joseph & Toal, Daniel, 2019. "Analysis of direct interconnection technique for offshore airborne wind energy systems under normal and fault conditions," Renewable Energy, Elsevier, vol. 131(C), pages 284-296.
- Anny Key de Souza Mendonça & Caroline Rodrigues Vaz & Álvaro Guillermo Rojas Lezana & Cristiane Alves Anacleto & Edson Pacheco Paladini, 2017. "Comparing Patent and Scientific Literature in Airborne Wind Energy," Sustainability, MDPI, vol. 9(6), pages 1-22, May.
- Wenlei Bai & Duehee Lee & Kwang Y. Lee, 2017. "Stochastic Dynamic AC Optimal Power Flow Based on a Multivariate Short-Term Wind Power Scenario Forecasting Model," Energies, MDPI, vol. 10(12), pages 1-19, December.
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- Ali Arshad Uppal & Manuel C. R. M. Fernandes & Sérgio Vinha & Fernando A. C. C. Fontes, 2021. "Cascade Control of the Ground Station Module of an Airborne Wind Energy System," Energies, MDPI, vol. 14(24), pages 1-25, December.
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Keywords
airborne wind energy; direct interconnection technique; load sharing control; active power; reactive power exchange; non-reversing pumping mode;All these keywords.
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