Mathematical models and algorithms for power system optimization : modelling technology for practical engineering problems
Introduction -- Daily economic dispatch optimization with pumped storage plant for a multiarea system -- Optimization of annual generator maintenance scheduling -- New algorithms related to power flow -- Load optimization for power network -- Discrete optimization for reactive power planning -- Opti...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Fan, Mingtian [verfasserIn] Wang, Chengmin [verfasserIn] Zhang, Zuping [verfasserIn] |
|---|
| Format: |
E-Book |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
Amsterdam: Academic Press ; 2019 |
|---|
| Schlagwörter: |
Electric power distribution, Mathematics Electric power distribution, Mathematical models |
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| Umfang: |
1 Online-Ressource (1 volume) |
|---|
| Links: | |
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| ISBN: |
0-12-813232-9 978-0-12-813232-6 |
| Katalog-ID: |
1689042567 |
|---|
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| 520 | |a Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. -- | ||
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0128132329 electronic bk. 0-12-813232-9 9780128132326 electronic bk. 978-0-12-813232-6 (DE-627)1689042567 (DE-599)KEP049056093 (ELSEVIER)on1112700443 (EBP)049056093 DE-627 eng DE-627 rda eng XA-NL TK3001 621.3190151 Fan, Mingtian verfasserin aut Mathematical models and algorithms for power system optimization modelling technology for practical engineering problems Mingtian Fan, Zuping Zhang, Chengmin Wang Amsterdam Academic Press 2019 1 Online-Ressource (1 volume) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction -- Daily economic dispatch optimization with pumped storage plant for a multiarea system -- Optimization of annual generator maintenance scheduling -- New algorithms related to power flow -- Load optimization for power network -- Discrete optimization for reactive power planning -- Optimization method for load frequency feed forward control -- Local decoupling control method for transient stability of a power system -- Optimization of electricity market transaction decisions based on market general equilibrium. -- Appendices: An approximation method for mixed integer programming -- The differential expressions for transformer tap and shunt capacitor unit -- A DC load flow method for calculating generation angle. Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. -- Electric power distribution Mathematics Electric power distribution Mathematical models Electric power distribution ; Mathematical models Electric power distribution ; Mathematics Wang, Chengmin verfasserin aut Zhang, Zuping verfasserin aut 9780128132319 0128132310 9780128132319 Erscheint auch als Druck-Ausgabe Fan, Mingtian Mathematical models and algorithms for power system optimization Amsterdam : Academic Press, 2019 9780128132319 https://www.sciencedirect.com/science/book/9780128132319 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGY 2019 ZDB-33-ESD GBV-33-Freedom 2023 GBV-33-EBS-HST GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2111 ISIL_DE-944 BO 045F 621.3190151 105 01 0841 4074473917 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 185 01 3519 4514752207 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 454029198X EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2111 02 DE-944 4046033606 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 https://www.sciencedirect.com/science/book/9780128132319 185 01 3519 https://www.sciencedirect.com/science/book/9780128132319 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128132319 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128132319 105 01 0841 OLR-ELV-TEST 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| spelling |
0128132329 electronic bk. 0-12-813232-9 9780128132326 electronic bk. 978-0-12-813232-6 (DE-627)1689042567 (DE-599)KEP049056093 (ELSEVIER)on1112700443 (EBP)049056093 DE-627 eng DE-627 rda eng XA-NL TK3001 621.3190151 Fan, Mingtian verfasserin aut Mathematical models and algorithms for power system optimization modelling technology for practical engineering problems Mingtian Fan, Zuping Zhang, Chengmin Wang Amsterdam Academic Press 2019 1 Online-Ressource (1 volume) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction -- Daily economic dispatch optimization with pumped storage plant for a multiarea system -- Optimization of annual generator maintenance scheduling -- New algorithms related to power flow -- Load optimization for power network -- Discrete optimization for reactive power planning -- Optimization method for load frequency feed forward control -- Local decoupling control method for transient stability of a power system -- Optimization of electricity market transaction decisions based on market general equilibrium. -- Appendices: An approximation method for mixed integer programming -- The differential expressions for transformer tap and shunt capacitor unit -- A DC load flow method for calculating generation angle. Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. -- Electric power distribution Mathematics Electric power distribution Mathematical models Electric power distribution ; Mathematical models Electric power distribution ; Mathematics Wang, Chengmin verfasserin aut Zhang, Zuping verfasserin aut 9780128132319 0128132310 9780128132319 Erscheint auch als Druck-Ausgabe Fan, Mingtian Mathematical models and algorithms for power system optimization Amsterdam : Academic Press, 2019 9780128132319 https://www.sciencedirect.com/science/book/9780128132319 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGY 2019 ZDB-33-ESD GBV-33-Freedom 2023 GBV-33-EBS-HST GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2111 ISIL_DE-944 BO 045F 621.3190151 105 01 0841 4074473917 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 185 01 3519 4514752207 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 454029198X EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2111 02 DE-944 4046033606 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 https://www.sciencedirect.com/science/book/9780128132319 185 01 3519 https://www.sciencedirect.com/science/book/9780128132319 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128132319 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128132319 105 01 0841 OLR-ELV-TEST 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
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0128132329 electronic bk. 0-12-813232-9 9780128132326 electronic bk. 978-0-12-813232-6 (DE-627)1689042567 (DE-599)KEP049056093 (ELSEVIER)on1112700443 (EBP)049056093 DE-627 eng DE-627 rda eng XA-NL TK3001 621.3190151 Fan, Mingtian verfasserin aut Mathematical models and algorithms for power system optimization modelling technology for practical engineering problems Mingtian Fan, Zuping Zhang, Chengmin Wang Amsterdam Academic Press 2019 1 Online-Ressource (1 volume) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction -- Daily economic dispatch optimization with pumped storage plant for a multiarea system -- Optimization of annual generator maintenance scheduling -- New algorithms related to power flow -- Load optimization for power network -- Discrete optimization for reactive power planning -- Optimization method for load frequency feed forward control -- Local decoupling control method for transient stability of a power system -- Optimization of electricity market transaction decisions based on market general equilibrium. -- Appendices: An approximation method for mixed integer programming -- The differential expressions for transformer tap and shunt capacitor unit -- A DC load flow method for calculating generation angle. Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. -- Electric power distribution Mathematics Electric power distribution Mathematical models Electric power distribution ; Mathematical models Electric power distribution ; Mathematics Wang, Chengmin verfasserin aut Zhang, Zuping verfasserin aut 9780128132319 0128132310 9780128132319 Erscheint auch als Druck-Ausgabe Fan, Mingtian Mathematical models and algorithms for power system optimization Amsterdam : Academic Press, 2019 9780128132319 https://www.sciencedirect.com/science/book/9780128132319 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGY 2019 ZDB-33-ESD GBV-33-Freedom 2023 GBV-33-EBS-HST GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2111 ISIL_DE-944 BO 045F 621.3190151 105 01 0841 4074473917 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 185 01 3519 4514752207 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 454029198X EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2111 02 DE-944 4046033606 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 https://www.sciencedirect.com/science/book/9780128132319 185 01 3519 https://www.sciencedirect.com/science/book/9780128132319 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128132319 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128132319 105 01 0841 OLR-ELV-TEST 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
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modelling technology for practical engineering problems |
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mathematical models and algorithms for power system optimizationmodelling technology for practical engineering problems |
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Mathematical models and algorithms for power system optimization modelling technology for practical engineering problems |
| abstract |
Introduction -- Daily economic dispatch optimization with pumped storage plant for a multiarea system -- Optimization of annual generator maintenance scheduling -- New algorithms related to power flow -- Load optimization for power network -- Discrete optimization for reactive power planning -- Optimization method for load frequency feed forward control -- Local decoupling control method for transient stability of a power system -- Optimization of electricity market transaction decisions based on market general equilibrium. -- Appendices: An approximation method for mixed integer programming -- The differential expressions for transformer tap and shunt capacitor unit -- A DC load flow method for calculating generation angle. Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. -- |
| abstractGer |
Introduction -- Daily economic dispatch optimization with pumped storage plant for a multiarea system -- Optimization of annual generator maintenance scheduling -- New algorithms related to power flow -- Load optimization for power network -- Discrete optimization for reactive power planning -- Optimization method for load frequency feed forward control -- Local decoupling control method for transient stability of a power system -- Optimization of electricity market transaction decisions based on market general equilibrium. -- Appendices: An approximation method for mixed integer programming -- The differential expressions for transformer tap and shunt capacitor unit -- A DC load flow method for calculating generation angle. Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. -- |
| abstract_unstemmed |
Introduction -- Daily economic dispatch optimization with pumped storage plant for a multiarea system -- Optimization of annual generator maintenance scheduling -- New algorithms related to power flow -- Load optimization for power network -- Discrete optimization for reactive power planning -- Optimization method for load frequency feed forward control -- Local decoupling control method for transient stability of a power system -- Optimization of electricity market transaction decisions based on market general equilibrium. -- Appendices: An approximation method for mixed integer programming -- The differential expressions for transformer tap and shunt capacitor unit -- A DC load flow method for calculating generation angle. Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. -- |
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| title_short |
Mathematical models and algorithms for power system optimization |
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