Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms - Brossura

Huang, Yuping; Pardalos, Panos M.; Zheng, Qipeng P.

 
9781493967667: Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms
Brossura
ISBN 10: 1493967665 ISBN 13: 9781493967667
Casa editrice: Springer, 2017

Sinossi

This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques.

The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques.

The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2017
Lingua
Inglese
ISBN 10 
1493967665
ISBN 13 
9781493967667
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
104
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9781493967674: Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms

Edizione in evidenza

ISBN 10:  1493967673 ISBN 13:  9781493967674
Casa editrice: Springer, 2017
Brossura