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Electrical Power Unit Commitment : Deterministic and Two-Stage Stochastic Programming Models and Algorithms / / by Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng



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Autore: Huang Yuping Visualizza persona
Titolo: Electrical Power Unit Commitment : Deterministic and Two-Stage Stochastic Programming Models and Algorithms / / by Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng Visualizza cluster
Pubblicazione: New York, NY : , : Springer US : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (VIII, 93 p. 24 illus., 16 illus. in color.)
Disciplina: 333.79
338.926
Soggetto topico: Energy policy
Energy and state
Power electronics
Energy systems
Operations research
Management science
Energy Policy, Economics and Management
Power Electronics, Electrical Machines and Networks
Energy Systems
Operations Research, Management Science
Persona (resp. second.): PardalosPanos M
ZhengQipeng P
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Deterministic Unit Commitment Models and Algorithms -- Two-Stage Stochastic Programming Models and Algorithms -- Nomenclature -- Renewable Energy Scenario Generation.
Sommario/riassunto: 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.
Titolo autorizzato: Electrical Power Unit Commitment  Visualizza cluster
ISBN: 1-4939-6768-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910253980703321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Energy, . 2191-5520