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Titlebook: Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid; Ran Wang,Ping Wang,Gaoxi Xiao Book 2018 Springer Nature

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, 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. .978-981-13-5087-0978-981-10-4250-8
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Introduction,rt grid’s unique characteristics. Then, we specifically discuss two important components in smart grid, namely microgrids (MGs) and electric vehicles (EVs). Intelligent control of these two components under uncertainties is our objective and research interests. Finally, the organization of this book is illustrated.
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Energy Generation Scheduling in Microgrids,ntegration of large-scale renewable sources and the use of combined heat and power (CHP) generators. Such features, however, impose significant difficulties on the design of intelligent control strategies for microgrids.
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Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy,nd, in each time slot, the renewable energy and user demand are considered as either deterministic or random variables. Current literature rarely takes the correlation information of renewable energy generation or user demand into account when they design the energy generation scheduling schemes.
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https://doi.org/10.1007/978-981-10-4250-8Smart Grid; Microgrids; Electric Vehicles; Optimization Algorithms; Renewable Energy; Scheduling under Un
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