Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid

Description

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. Front Matter ....Pages i-xviii Introduction (Ran Wang, Ping Wang, Gaoxi Xiao)....Pages 1-8 Literature Review (Ran Wang, Ping Wang, Gaoxi Xiao)....Pages 9-19 Demand and Supply Management in Microgrids (Ran Wang, Ping Wang, Gaoxi Xiao)....Pages 21-44 Energy Generation Scheduling in Microgrids (Ran Wang, Ping Wang, Gaoxi Xiao)....Pages 45-67 Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy (Ran Wang, Ping Wang, Gaoxi Xiao)....Pages 69-81 Massive Electric Vehicle Charging Involving Renewable Energy (Ran Wang, Ping Wang, Gaoxi Xiao)....Pages 83-102 Hybrid Charging Control of Electric Vehicles (Ran Wang, Ping Wang, Gaoxi Xiao)....Pages 103-126 Summary and Future Work (Ran Wang, Ping Wang, Gaoxi Xiao)....Pages 127-130 Back Matter ....Pages 131-140