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Titlebook: Robust Optimal Planning and Operation of Electrical Energy Systems; Behnam Mohammadi-ivatloo,Morteza Nazari-Heris Book 2019 Springer Natur

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Optimal Robust Scheduling of Renewable Energy-Based Smart Homes Using Information-Gap Decision Theosmart home is formulated, and the best suited set point of all suppliers is obtained. Information-gap decision theory (IGDT) is implemented in order to handle the uncertain PV power generation. The optimal robust scheduling of different appliance categories is provided considering economic optimal dispatch of the energy sources.
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rgy 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..978-3-030-04296-7
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Robust Unit Commitment Applying Information Gap Decision Theory and Taguchi Orthogonal Array Techniurces and energy storage systems are detailed. Various models of UC problem such as thermal power plants and thermal power plants combined with RESs and ESSs considering the most important uncertainties in the inactive networks are presented. The proposed models have been tested on standard case of IEEE, 10 units, and the results are presented.
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Risk-Based Performance of Multi-carrier Energy Systems: Robust Optimization Framework,, and the results declaring effectiveness of proposed technique are presented for comparison. It should be noted that simulations are carried out under general algebraic modeling system (GAMS) software.
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ergy systems.Discusses recent developments and contributions.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 theoretic
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