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This book 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. 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 optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.
Mathematical optimization --- Electric vehicles --- Computer programs. --- Design and construction. --- MATLAB. --- Engineering. --- Renewable energy resources. --- Game theory. --- Mathematical optimization. --- Computational intelligence. --- Renewable energy sources. --- Alternate energy sources. --- Green energy industries. --- Computational Intelligence. --- Renewable and Green Energy. --- Optimization. --- Game Theory, Economics, Social and Behav. Sciences. --- Green energy industries --- Energy industries --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Construction --- Industrial arts --- Technology --- MATLAB (Computer program) --- Matrix laboratory --- EVs (Electric vehicles) --- Vehicles, Electric --- Motor vehicles --- Mathematics. --- Math --- Science --- MATLAB (Computer file)
Choose an application
This book 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. 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 optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.
Numerical methods of optimisation --- Operational research. Game theory --- Mathematics --- Relation between energy and economics --- Applied physical engineering --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- Matlab (informatica) --- fuzzy logic --- elektrische auto's --- cybernetica --- hernieuwbare energie --- automatisering --- speltheorie --- wiskunde --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen
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