Real-Time Flexibility Assessment for Power Systems with High Wind Energy Penetration
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- Qian, Zheng & Pei, Yan & Zareipour, Hamidreza & Chen, Niya, 2019. "A review and discussion of decomposition-based hybrid models for wind energy forecasting applications," Applied Energy, Elsevier, vol. 235(C), pages 939-953.
- Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
- Rostislav Krč & Martina Kratochvílová & Jan Podroužek & Tomáš Apeltauer & Václav Stupka & Tomáš Pitner, 2021. "Machine Learning-Based Node Characterization for Smart Grid Demand Response Flexibility Assessment," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
- Khorshidi, Reza & Shabaninia, Faridon & Niknam, Taher, 2016. "A new smart approach for state estimation of distribution grids considering renewable energy sources," Energy, Elsevier, vol. 94(C), pages 29-37.
- Kavousi-Fard, Abdollah & Abunasri, Alireza & Zare, Alireza & Hoseinzadeh, Rasool, 2014. "Impact of plug-in hybrid electric vehicles charging demand on the optimal energy management of renewable micro-grids," Energy, Elsevier, vol. 78(C), pages 904-915.
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Keywords
electric power system; renewable energy sources; flexibility; wind power forecasting; state estimation;All these keywords.
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