Robust Optimal Planning and Operation of Electrical Energy Systems / edited by Behnam Mohammadi-ivatloo, Morteza Nazari-Heris.
Contributor(s): Mohammadi-ivatloo, Behnam., editor literario | Nazari-Heris, Morteza., editor literario | SpringerLink (Online service)
Series: (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (XIII, 315 páginas) : 114 ilustraciones, 104 ilustraciones a color.ISBN: 9783030042967.Subject: Redes de energía eléctrica
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK1001 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062276 |
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| TK1001 2008 EB Pragmatic Power | TK1001 2011 EB Pragmatic Electrical Engineering : Fundamentals | TK1001 2018 EB The Essentials of Power System Dynamics and Control | TK1001 2019 EB Robust Optimal Planning and Operation of Electrical Energy Systems | TK1001 2020 EB Optimization of Power System Problems : Methods, Algorithms and MATLAB Codes | TK1001 2020 EB Fundamentals of Electrical Power Systems Analysis | TK1001 2020 EB Diagnostic Systems For Energy Equipments |
Optimal planning issues of electric energy systems under uncertainty -- Optimal operation issues of electric energy systems under uncertainty -- Introduction to robust optimization (RO) method -- Introduction to information gap decision theory (IGDT) method -- Robust optimal planning and operation of electric energy systems -- Robs unit commitment -- Robust short-term scheduling -- Robust optimal power flow -- Robust transmission network expansion planning -- Robust strategic bidding of energy management systems -- Robust energy generation scheduling -- Robust economic dispatch problem in renewable-based hybrid energy systems -- Robust electricity market optimization -- Robust optimal design of hybrid energy systems.
This book discusses the recent developments in robust optimization (RO) and information gap design theory (IGDT) methods and their application for the optimal planning and operation of electric energy systems. Chapters cover both theoretical background and applications to address common uncertainty factors such as load variation, power market price, and power generation of renewable energy sources. Case studies with real-world applications are included to help undergraduate and graduate students, researchers and engineers solve robust power and energy optimization problems and provide effective and promising solutions for the robust planning and operation of electric energy systems.
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