Grid Optimal Integration of Electric Vehicles: Examples with MATLAB Implementation
Andrés Ovalle, Grenoble INP, G2Elab;
Ahmad Hably, Grenoble INP, Gipsa-lab;
Seddik Bacha, Grenoble INP, G2Elab
Springer International Publishing, 2018
ISBN: 978-3-319-73176-6;
Language: English
Grid Optimal Integration of Electric Vehicles is a compilation of recent research on distributed optimization algorithms for the integral load management of plug-in electric vehicle (PEV) fleets and their potential services to the electricity system. It also includes detailed, developed MATLAB scripts at the end of each chapter. These algorithms can be implemented and extended to diverse applications where energy management is required (smart buildings, railways systems, task sharing in micro-grids, etc.). The proposed methodologies optimally manage PEV fleets’ charge and discharge schedules by applying classical optimization, game theory, and evolutionary game theory techniques. Taking owner’s requirements into consideration, these approaches provide services like load shifting, load balancing among phases of the system, reactive power supply, and task sharing among PEVs. The book is intended for use in graduate courses in optimization and energy management, and readers are encouraged to test and adapt the scripts to their specific applications.
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