Flexibility-based generation maintenance scheduling in presence of uncertain wind power plants forecasted by deep learning considering demand response programs portfolio

•A new techno-economic structure for generation maintenance scheduling based upon the flexibility index is presented.•The aim is to reduce cost and satisfy reliability and flexibility criterion by the augmented epsilon constraint method for studied system.•In this study, the optimal portfolio of var...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 141; S. 108225
Hauptverfasser:	Sharifi, Vahid, Abdollahi, Amir, Rashidinejad, Masoud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2022
Schlagworte:	Augmented epsilon constraint method Deep learning method Flexibility Flexibility-based generation maintenance scheduling Portfolio of demand response programs Flexibility-based generation maintenance scheduling Portfolio of demand response programs Deep learning method Augmented epsilon constraint method Flexibility
ISSN:	0142-0615, 1879-3517
Online-Zugang:	Volltext
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