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

Power system flexibility = modeling,...

Zhou, Ming.

Linked to FindBook

Google Book

Amazon

博客來

Power system flexibility = modeling, optimization and mechanism design /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Power system flexibility/ by Ming Zhou, Zhaoyuan Wu, Gengyin Li.
Reminder of title:	modeling, optimization and mechanism design /
Author:	Zhou, Ming.
other author:	Wu, Zhaoyuan.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xii, 271 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction and Motivation -- Power System Flexibility Modeling -- Flexibility-based Economic Dispatch -- Distributed Dispatch Approach in AC/DC Hybrid Systems With High Flexibility Requirement -- The Optimal Dispatch Method Considering the Flexibility of Power Networks -- Demand Side Flexibility -- Large-Scale Distributed Flexible Resources Aggregation -- Market Design for Enhancing the Flexibility of Power System -- Future Research on Power System Flexibility.
Contained By:	Springer Nature eBook
Subject:	Electric power systems. -
Online resource:	https://doi.org/10.1007/978-981-19-9075-5
ISBN:	9789811990755

Power system flexibility = modeling, optimization and mechanism design /
Zhou, Ming.

Power system flexibilitymodeling, optimization and mechanism design /[electronic resource] :by Ming Zhou, Zhaoyuan Wu, Gengyin Li. - Singapore :Springer Nature Singapore :2023. - xii, 271 p. :ill., digital ;24 cm. - Power systems,1860-4676. - Power systems..

Introduction and Motivation -- Power System Flexibility Modeling -- Flexibility-based Economic Dispatch -- Distributed Dispatch Approach in AC/DC Hybrid Systems With High Flexibility Requirement -- The Optimal Dispatch Method Considering the Flexibility of Power Networks -- Demand Side Flexibility -- Large-Scale Distributed Flexible Resources Aggregation -- Market Design for Enhancing the Flexibility of Power System -- Future Research on Power System Flexibility.

This book provides a detailed description of the flexibility of the power system with high share of variable renewable generation, including power system flexibility modeling, flexibility-based economic dispatch, demand side flexibility response, large-scale distributed flexible resources aggregation and market design for enhancing the flexibility of the power system, etc. The book provides an appropriate blend of theoretical background and practical applications of the power system flexibility, which are developed as working algorithms, coded in MATLAB and GAMS environments. This feature strengthens the usefulness of the book for graduate students and practitioners. Students will gain an insightful understanding of the flexibility of the power system with high share of renewables integration, including: (1) the formulation of flexibility modeling and flexibility-based economic dispatch models, (2) the familiarization with efficient solution algorithms for such models, (3) insights into these problems through the detailed analysis of numerous illustrative examples and (4) market design approach for enhancing the flexibility of the power system. Hopefully, this book greatly benefits readers in the fields of energy economics and engineering.

ISBN: 9789811990755

Standard No.: 10.1007/978-981-19-9075-5doiSubjects--Topical Terms:

649380
Electric power systems.

LC Class. No.: TK1001

Dewey Class. No.: 621.31

Power system flexibility = modeling, optimization and mechanism design /
LDR:02760nmm a2200337 a 4500 001 2315915
003 DE-He213
005 20230301132918.0
006 m d
007 cr nn 008maaau
008 230902s2023 si s 0 eng d
020 $a 9789811990755 $q (electronic bk.)
020 $a 9789811990748 $q (paper)
024 7 $a 10.1007/978-981-19-9075-5 $2 doi
035 $a 978-981-19-9075-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK1001
072 7 $a THRD $2 bicssc
072 7 $a TEC046000 $2 bisacsh
072 7 $a THY $2 thema
082 0 4 $a 621.31 $2 23
090 $a TK1001 $b .Z63 2023
100 1 $a Zhou, Ming. $3 1565679
245 1 0 $a Power system flexibility $h [electronic resource] : $b modeling, optimization and mechanism design / $c by Ming Zhou, Zhaoyuan Wu, Gengyin Li.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xii, 271 p. : $b ill., digital ; $c 24 cm.
490 1 $a Power systems, $x 1860-4676
505 0 $a Introduction and Motivation -- Power System Flexibility Modeling -- Flexibility-based Economic Dispatch -- Distributed Dispatch Approach in AC/DC Hybrid Systems With High Flexibility Requirement -- The Optimal Dispatch Method Considering the Flexibility of Power Networks -- Demand Side Flexibility -- Large-Scale Distributed Flexible Resources Aggregation -- Market Design for Enhancing the Flexibility of Power System -- Future Research on Power System Flexibility.
520 $a This book provides a detailed description of the flexibility of the power system with high share of variable renewable generation, including power system flexibility modeling, flexibility-based economic dispatch, demand side flexibility response, large-scale distributed flexible resources aggregation and market design for enhancing the flexibility of the power system, etc. The book provides an appropriate blend of theoretical background and practical applications of the power system flexibility, which are developed as working algorithms, coded in MATLAB and GAMS environments. This feature strengthens the usefulness of the book for graduate students and practitioners. Students will gain an insightful understanding of the flexibility of the power system with high share of renewables integration, including: (1) the formulation of flexibility modeling and flexibility-based economic dispatch models, (2) the familiarization with efficient solution algorithms for such models, (3) insights into these problems through the detailed analysis of numerous illustrative examples and (4) market design approach for enhancing the flexibility of the power system. Hopefully, this book greatly benefits readers in the fields of energy economics and engineering.
650 0 $a Electric power systems. $3 649380
650 0 $a Electric power systems $x Mathematical models. $3 678375
650 1 4 $a Energy Grids and Networks. $3 3592502
650 2 4 $a Energy Policy, Economics and Management. $3 1532761
650 2 4 $a Renewable Energy. $3 3591935
700 1 $a Wu, Zhaoyuan. $3 3628693
700 1 $a Li, Gengyin. $3 3628694
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Power systems. $3 1568440
856 4 0 $u https://doi.org/10.1007/978-981-19-9075-5
950 $a Energy (SpringerNature-40367)