Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation (Record no. 78596)

000 -LEADER
fixed length control field 03490nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-319-73177-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220450.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180205s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319731773
-- 978-3-319-73177-3
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Ovalle, Andrés.
245 10 - TITLE STATEMENT
Title Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 219 p. 90 illus., 88 illus. in color.
490 1# - SERIES STATEMENT
Series statement Studies in Systems, Decision and Control,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Centralized Approach -- Dynamic Programming and Potential Game Approach -- Evolutionary Game Theory Approach Part I: Mixed Strategist Dynamics -- Evolutionary Game Theory Approach Part II: Escort Dynamics.
520 ## - SUMMARY, ETC.
Summary, etc This book is a compilation of recent research on distributed optimization algorithms for the integral load management of plug-in electric vehicle (PEV) fleets and their potential services to the electricity system. It also includes detailed developed Matlab scripts. These algorithms can be implemented and extended to diverse applications where energy management is required (smart buildings, railways systems, task sharing in micro-grids, etc.). The proposed methodologies optimally manage PEV fleets’ charge and discharge schedules by applying classical optimization, game theory, and evolutionary game theory techniques. Taking owner’s requirements into consideration, these approaches provide services like load shifting, load balancing among phases of the system, reactive power supply, and task sharing among PEVs. The book is intended for use in graduate optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.
700 1# - AUTHOR 2
Author 2 Hably, Ahmad.
700 1# - AUTHOR 2
Author 2 Bacha, Seddik.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-73177-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Renewable energy sources.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical optimization.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Game theory.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Renewable Energy.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Optimization.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Game Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2198-4190 ;
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.