This book discusses the latest research on the intelligent control of two important components
in smart grids namely microgrids (MGs) and electric vehicles (EVs). It focuses on developing
theoretical frameworks and proposing corresponding algorithms to optimally schedule
virtualized elements under different uncertainties so that the total cost of operating the
microgrid or the EV charging system can be minimized and the systems maintain stabilized. With
random factors in the problem formulation and corresponding designed algorithms it provides
insights into how to handle uncertainties and develop rational strategies in the operation of
smart grid systems. Written by leading experts it is a valuable resource for researchers
scientists and engineers in the field of intelligent management of future power grids.
