Intelligent Microgrid Management And Ev Control Under Uncertainties In Smart Grid
by Ping Wang /
2017 / English / PDF
7.4 MB Download
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.
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.