Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid by Ran Wang
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.
Hehong Zhang received his Ph. D. degree in smart control and data analysis from the Interdisciplinary Graduate School, Nanyang Technological University, Singapore. He is now an Associate Professor in the College of Mathematics and Computer Science/College of Software, Fuzhou University, Fuzhou, China. His research interests include data processing, smart control and nonlinear control theory, particularly time optimal control-based tracking differentiator.
Gaoxi Xiao received his Ph.D. degree in computing from the Hong Kong Polytechnic University. He joined the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2001, where he is now an Associate Professor. His research interests include complex systems and complex networks, communication networks, smart grids, and system resilience and risk management. Dr. Xiao serves/served as an Associate Editor or Guest Editor for IEEE Transactions on Network Science and Engineering, PLOS ONE and Advances in Complex Systems, etc., and a TPC member for numerous conferences including IEEE ICC and IEEE GLOBECOM.
Yunde Xie received his Ph. D. degree in control science and control engineering from National University of Defense Technology in 1998. He became an Associate Professor in National University of Defense Technology, China, in 2004. From 2005 until now, he has worked as a Senior Engineer at Beijing Rail Transit Technology Institute, Beijing, China. His research interests include nonlinear control theory and application and maglev control techniques.
Wenzhong Guo received his Ph.D. degree in communication and information systems from Fuzhou University, Fuzhou, China. He is now a Full Professor in the College of Mathematics and Computer Science/College of Software, Fuzhou University, Fuzhou, China. He leads the Network Computing and Intelligent Information Processing Laboratory, which is a Key Lab of Fujian Province, China. His research interests include intelligent information processing, network computing and network content analysis.
Chao Zhai received his Ph. D. degree in complex systems and control from the Institute of Systems Science, Chinese Academy of Sciences, Beijing, China. He is now a Full Professor in the School of Automation, China University of Geosciences, Wuhan, China. His research interests include cooperative control, power system stability and control, and social motor coordination.
Gaoxi Xiao received his Ph.D. degree in computing from the Hong Kong Polytechnic University. He joined the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2001, where he is now an Associate Professor. His research interests include complex systems and complex networks, communication networks, smart grids, and system resilience and risk management. Dr. Xiao serves/served as an Associate Editor or Guest Editor for IEEE Transactions on Network Science and Engineering, PLOS ONE and Advances in Complex Systems, etc., and a TPC member for numerous conferences including IEEE ICC and IEEE GLOBECOM.
Yunde Xie received his Ph. D. degree in control science and control engineering from National University of Defense Technology in 1998. He became an Associate Professor in National University of Defense Technology, China, in 2004. From 2005 until now, he has worked as a Senior Engineer at Beijing Rail Transit Technology Institute, Beijing, China. His research interests include nonlinear control theory and application and maglev control techniques.
Wenzhong Guo received his Ph.D. degree in communication and information systems from Fuzhou University, Fuzhou, China. He is now a Full Professor in the College of Mathematics and Computer Science/College of Software, Fuzhou University, Fuzhou, China. He leads the Network Computing and Intelligent Information Processing Laboratory, which is a Key Lab of Fujian Province, China. His research interests include intelligent information processing, network computing and network content analysis.
Chao Zhai received his Ph. D. degree in complex systems and control from the Institute of Systems Science, Chinese Academy of Sciences, Beijing, China. He is now a Full Professor in the School of Automation, China University of Geosciences, Wuhan, China. His research interests include cooperative control, power system stability and control, and social motor coordination.
| SKU | Unavailable |
| ISBN 13 | 9789811350870 |
| ISBN 10 | 9811350876 |
| Title | Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid |
| Author | Ran Wang |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2019-01-04 |
| Number of pages | 140 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |