Electrical power unit commitment: deterministic and two-stage stochastic programming models and algorithms
Introduction -- Deterministic Unit Commitment Models and Algorithms -- Two-Stage Stochastic Programming Models and Algorithms -- Nomenclature -- Renewable Energy Scenario Generation
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Springer
[2017]
|
| Schriftenreihe: | SpringerBriefs in energy
|
| Zusammenfassung: | Introduction -- Deterministic Unit Commitment Models and Algorithms -- Two-Stage Stochastic Programming Models and Algorithms -- Nomenclature -- Renewable Energy Scenario Generation 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 |
| Beschreibung: | Literaturangaben |
| Beschreibung: | viii, 93 Seiten Diagramme |
| ISBN: | 9781493967667 |
Internformat
MARC
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| 100 | 1 | |a Huang, Yuping |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Electrical power unit commitment |b deterministic and two-stage stochastic programming models and algorithms |c Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng |
| 264 | 1 | |a New York |b Springer |c [2017] | |
| 264 | 4 | |c © 2017 | |
| 300 | |a viii, 93 Seiten |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
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| 490 | 0 | |a SpringerBriefs in energy | |
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| 520 | 3 | |a Introduction -- Deterministic Unit Commitment Models and Algorithms -- Two-Stage Stochastic Programming Models and Algorithms -- Nomenclature -- Renewable Energy Scenario Generation | |
| 520 | 3 | |a 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 | |
| 700 | 1 | |a Pardalos, Panos M. |d 1954- |e Verfasser |0 (DE-588)115385827 |4 aut | |
| 700 | 1 | |a Zheng, Qipeng P. |e Verfasser |0 (DE-588)143577506 |4 aut | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Huang, Yuping Pardalos, Panos M. 1954- Zheng, Qipeng P. |
| author_GND | (DE-588)115385827 (DE-588)143577506 |
| author_facet | Huang, Yuping Pardalos, Panos M. 1954- Zheng, Qipeng P. |
| author_role | aut aut aut |
| author_sort | Huang, Yuping |
| author_variant | y h yh p m p pm pmp q p z qp qpz |
| building | Verbundindex |
| bvnumber | BV045923124 |
| classification_rvk | ZN 8510 |
| ctrlnum | (OCoLC)1003639634 (DE-599)GBV880474009 |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV045923124 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:30:26Z |
| institution | BVB |
| isbn | 9781493967667 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031305580 |
| oclc_num | 1003639634 |
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| physical | viii, 93 Seiten Diagramme |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| record_format | marc |
| series2 | SpringerBriefs in energy |
| spelling | Huang, Yuping Verfasser aut Electrical power unit commitment deterministic and two-stage stochastic programming models and algorithms Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng New York Springer [2017] © 2017 viii, 93 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier SpringerBriefs in energy Literaturangaben Introduction -- Deterministic Unit Commitment Models and Algorithms -- Two-Stage Stochastic Programming Models and Algorithms -- Nomenclature -- Renewable Energy Scenario Generation 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 Pardalos, Panos M. 1954- Verfasser (DE-588)115385827 aut Zheng, Qipeng P. Verfasser (DE-588)143577506 aut Erscheint auch als Online-Ausgabe 978-1-4939-6768-1 |
| spellingShingle | Huang, Yuping Pardalos, Panos M. 1954- Zheng, Qipeng P. Electrical power unit commitment deterministic and two-stage stochastic programming models and algorithms |
| title | Electrical power unit commitment deterministic and two-stage stochastic programming models and algorithms |
| title_auth | Electrical power unit commitment deterministic and two-stage stochastic programming models and algorithms |
| title_exact_search | Electrical power unit commitment deterministic and two-stage stochastic programming models and algorithms |
| title_full | Electrical power unit commitment deterministic and two-stage stochastic programming models and algorithms Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng |
| title_fullStr | Electrical power unit commitment deterministic and two-stage stochastic programming models and algorithms Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng |
| title_full_unstemmed | Electrical power unit commitment deterministic and two-stage stochastic programming models and algorithms Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng |
| title_short | Electrical power unit commitment |
| title_sort | electrical power unit commitment deterministic and two stage stochastic programming models and algorithms |
| title_sub | deterministic and two-stage stochastic programming models and algorithms |
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