東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Model predictive control of microgrids

Bordons, Carlos.

Linked to FindBook

Google Book

Amazon

博客來

Model predictive control of microgrids

Record Type:	Electronic resources : Monograph/item
Title/Author:	Model predictive control of microgrids/ by Carlos Bordons, Felix Garcia-Torres, Miguel A. Ridao.
Author:	Bordons, Carlos.
other author:	Garcia-Torres, Felix.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xix, 266 p. :ill., digital ;24 cm.
[NT 15003449]:	I: Microgrid Control Issues -- II: Overview of Control Methods Applied to Microgrids -- III: Dynamic Models of Microgrids and Components -- IV: Basic Energy and Power Management Systems in Microgrids -- V: Hybrid MPC Applied to Economical Dispatch of Microgrids -- VI: Enhancement of Power Quality using Finite-State MPC -- VII: Integration of Electric Vehicles in Microgrids -- VIII: Stochastic MPC and Failure Management -- IX: Distributed MPC for Networks of Microgrids -- X: Glossary -- XI: Index.
Contained By:	Springer eBooks
Subject:	Microgrids (Smart power grids) -
Online resource:	https://doi.org/10.1007/978-3-030-24570-2
ISBN:	9783030245702

Model predictive control of microgrids
Bordons, Carlos.

Model predictive control of microgrids[electronic resource] /by Carlos Bordons, Felix Garcia-Torres, Miguel A. Ridao. - Cham :Springer International Publishing :2020. - xix, 266 p. :ill., digital ;24 cm. - Advances in industrial control,1430-9491. - Advances in industrial control..

I: Microgrid Control Issues -- II: Overview of Control Methods Applied to Microgrids -- III: Dynamic Models of Microgrids and Components -- IV: Basic Energy and Power Management Systems in Microgrids -- V: Hybrid MPC Applied to Economical Dispatch of Microgrids -- VI: Enhancement of Power Quality using Finite-State MPC -- VII: Integration of Electric Vehicles in Microgrids -- VIII: Stochastic MPC and Failure Management -- IX: Distributed MPC for Networks of Microgrids -- X: Glossary -- XI: Index.

The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC) It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids. The authors present MPC techniques for case studies that include different renewable sources - mainly photovoltaic and wind - as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. The authors also provide a modular simulator to be run in MATLAB/Simulink®, for readers to create their own microgrids using the blocks supplied, in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids. Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

ISBN: 9783030245702

Standard No.: 10.1007/978-3-030-24570-2doiSubjects--Topical Terms:

3383030
Microgrids (Smart power grids)

LC Class. No.: TK3105 / .B37 2020

Dewey Class. No.: 621.31

Model predictive control of microgrids
LDR:03311nmm a2200337 a 4500 001 2213848
003 DE-He213
005 20200221171710.0
006 m d
007 cr nn 008maaau
008 201118s2020 sz s 0 eng d
020 $a 9783030245702 $q (electronic bk.)
020 $a 9783030245696 $q (paper)
024 7 $a 10.1007/978-3-030-24570-2 $2 doi
035 $a 978-3-030-24570-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TK3105 $b .B37 2020
072 7 $a TH $2 bicssc
072 7 $a TEC031000 $2 bisacsh
072 7 $a TH $2 thema
082 0 4 $a 621.31 $2 23
090 $a TK3105 $b .B729 2020
100 1 $a Bordons, Carlos. $3 3443760
245 1 0 $a Model predictive control of microgrids $h [electronic resource] / $c by Carlos Bordons, Felix Garcia-Torres, Miguel A. Ridao.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xix, 266 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in industrial control, $x 1430-9491
505 0 $a I: Microgrid Control Issues -- II: Overview of Control Methods Applied to Microgrids -- III: Dynamic Models of Microgrids and Components -- IV: Basic Energy and Power Management Systems in Microgrids -- V: Hybrid MPC Applied to Economical Dispatch of Microgrids -- VI: Enhancement of Power Quality using Finite-State MPC -- VII: Integration of Electric Vehicles in Microgrids -- VIII: Stochastic MPC and Failure Management -- IX: Distributed MPC for Networks of Microgrids -- X: Glossary -- XI: Index.
520 $a The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC) It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids. The authors present MPC techniques for case studies that include different renewable sources - mainly photovoltaic and wind - as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. The authors also provide a modular simulator to be run in MATLAB/Simulink®, for readers to create their own microgrids using the blocks supplied, in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids. Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650 0 $a Microgrids (Smart power grids) $3 3383030
650 0 $a Predictive control. $3 667592
650 0 $a Renewable energy sources. $3 543030
650 1 4 $a Energy Systems. $3 1530445
650 2 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 1001796
650 2 4 $a Environmental Engineering/Biotechnology. $3 899474
700 1 $a Garcia-Torres, Felix. $3 3443761
700 1 $a Ridao, Miguel A. $3 3443762
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in industrial control. $3 1566025
856 4 0 $u https://doi.org/10.1007/978-3-030-24570-2
950 $a Energy (Springer-40367)