Author: Ran Wang
Publisher: Springer
Published: 2017-11-20
Total Pages: 140
ISBN-13: 9811042500
DOWNLOAD EBOOKThis 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.
Book Synopsis Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid by : Ran Wang
Download or read book Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid written by Ran Wang and published by Springer. This book was released on 2017-11-20 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.