Skip to main content
Erschienen in: Optimization and Engineering 4/2022

17.07.2021 | Review Article

Robust optimization in power systems: a tutorial overview

verfasst von: Antonio J. Conejo, Xuan Wu

Erschienen in: Optimization and Engineering | Ausgabe 4/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper provides a tutorial overview of robust optimization in power systems, including robust optimization and adaptive robust optimization. We also introduce distributionally robust optimization. For illustration purposes, we describe and analyze a short-term operation problem and a long-term planning one. The operation problem allows identifying the transmission line whose failure has the higher impact on the operation of the system (worst contingency). From a planning perspective, we describe and analyze the problem of identifying which are the most critical transmission lines (vulnerabilities) to be protected against intentional attacks or natural disasters. We provide as well a distributionally robust version of this problem. The operation problem is a robust optimization one, while the planning problem is an adaptive robust optimization one, including a distributionally robust variant.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
Zurück zum Zitat Apostolopoulou D, De Greve Z, McCulloch M (2018) Robust optimization for hydroelectric system operation under uncertainty. IEEE Trans Power Syst 33(3):3337–3348CrossRef Apostolopoulou D, De Greve Z, McCulloch M (2018) Robust optimization for hydroelectric system operation under uncertainty. IEEE Trans Power Syst 33(3):3337–3348CrossRef
Zurück zum Zitat Baharvandi A, Aghaei J, Niknam T, Shafie-Khah M, Godina R, Catalao JP (2018) Bundled generation and transmission planning under demand and wind generation uncertainty based on a combination of robust and stochastic optimization. IEEE Trans Sustain Energy 9(3):1477–1486CrossRef Baharvandi A, Aghaei J, Niknam T, Shafie-Khah M, Godina R, Catalao JP (2018) Bundled generation and transmission planning under demand and wind generation uncertainty based on a combination of robust and stochastic optimization. IEEE Trans Sustain Energy 9(3):1477–1486CrossRef
Zurück zum Zitat Baringo L, Baringo A (2017) A stochastic adaptive robust optimization approach for the generation and transmission expansion planning. IEEE Trans Power Syst 33(1):792–802CrossRef Baringo L, Baringo A (2017) A stochastic adaptive robust optimization approach for the generation and transmission expansion planning. IEEE Trans Power Syst 33(1):792–802CrossRef
Zurück zum Zitat Bertsimas D, Litvinov E, Sun XA, Zhao J, Zheng T (2013) Adaptive robust optimization for the security constrained unit commitment problem. IEEE Trans Power Syst 28(1):52–63CrossRef Bertsimas D, Litvinov E, Sun XA, Zhao J, Zheng T (2013) Adaptive robust optimization for the security constrained unit commitment problem. IEEE Trans Power Syst 28(1):52–63CrossRef
Zurück zum Zitat Bertsimas D, Sim M, Zhang M (2019) Adaptive distributionally robust optimization. Manag Sci 65(2):604–618CrossRef Bertsimas D, Sim M, Zhang M (2019) Adaptive distributionally robust optimization. Manag Sci 65(2):604–618CrossRef
Zurück zum Zitat Chen B, Wang J, Wang L, He Y, Wang Z (2014) Robust optimization for transmission expansion planning: minimax cost vs minimax regret. IEEE Trans Power Syst 29(6):3069–3077CrossRef Chen B, Wang J, Wang L, He Y, Wang Z (2014) Robust optimization for transmission expansion planning: minimax cost vs minimax regret. IEEE Trans Power Syst 29(6):3069–3077CrossRef
Zurück zum Zitat Conejo AJ, Carrion M, Morales JM (2010) Decision making under uncertainty in electricity markets. Springer, New YorkCrossRefMATH Conejo AJ, Carrion M, Morales JM (2010) Decision making under uncertainty in electricity markets. Springer, New YorkCrossRefMATH
Zurück zum Zitat He B, Yuan X (2012) Convergence analysis of primal-dual algorithms for a saddle-point problem: from contraction perspective. SIAM J Imag Sci 5(1):119–149MathSciNetCrossRefMATH He B, Yuan X (2012) Convergence analysis of primal-dual algorithms for a saddle-point problem: from contraction perspective. SIAM J Imag Sci 5(1):119–149MathSciNetCrossRefMATH
Zurück zum Zitat He C, Wu L, Liu T, Bie Z (2017) Robust co-optimization planning of interdependent electricity and natural gas systems with a joint N-1 and probabilistic reliability criterion. IEEE Trans Power Syst 33(2):2140–2154CrossRef He C, Wu L, Liu T, Bie Z (2017) Robust co-optimization planning of interdependent electricity and natural gas systems with a joint N-1 and probabilistic reliability criterion. IEEE Trans Power Syst 33(2):2140–2154CrossRef
Zurück zum Zitat Lei H, Huang S, Liu Y, Zhang T (2019) Robust optimization for microgrid defense resource planning and allocation against multi-period attacks. IEEE Trans Smart Grid 10(5):5841–5850CrossRef Lei H, Huang S, Liu Y, Zhang T (2019) Robust optimization for microgrid defense resource planning and allocation against multi-period attacks. IEEE Trans Smart Grid 10(5):5841–5850CrossRef
Zurück zum Zitat Luenberger DG, Ye Y (1984) Linear and nonlinear programming. Addison-Wesley, Reading, MAMATH Luenberger DG, Ye Y (1984) Linear and nonlinear programming. Addison-Wesley, Reading, MAMATH
Zurück zum Zitat Mohiti M, Monsef H, Anvari-Moghaddam A, Lesani H (2019) Two-stage robust optimization for resilient operation of microgrids considering hierarchical frequency control structure. IEEE Trans Ind Electron 67(11):9439–9449CrossRef Mohiti M, Monsef H, Anvari-Moghaddam A, Lesani H (2019) Two-stage robust optimization for resilient operation of microgrids considering hierarchical frequency control structure. IEEE Trans Ind Electron 67(11):9439–9449CrossRef
Zurück zum Zitat Tian K, Sun W, Han D, Yang C (2019) Coordinated planning with predetermined renewable energy generation targets using extended two-stage robust optimization. IEEE Access 8:2395–2407CrossRef Tian K, Sun W, Han D, Yang C (2019) Coordinated planning with predetermined renewable energy generation targets using extended two-stage robust optimization. IEEE Access 8:2395–2407CrossRef
Zurück zum Zitat Wu X, Conejo AJ (2016) An efficient tri-level optimization model for electric grid defense planning. IEEE Trans Power Syst 32(4):2984–2994CrossRef Wu X, Conejo AJ (2016) An efficient tri-level optimization model for electric grid defense planning. IEEE Trans Power Syst 32(4):2984–2994CrossRef
Zurück zum Zitat Wu X, Conejo AJ, Amjady N (2018) Robust security constrained ACOPF via conic programming: identifying the worst contingencies. IEEE Trans Power Syst 33(6):5884–5891CrossRef Wu X, Conejo AJ, Amjady N (2018) Robust security constrained ACOPF via conic programming: identifying the worst contingencies. IEEE Trans Power Syst 33(6):5884–5891CrossRef
Zurück zum Zitat Xu P, Wang L (2014) An exact algorithm for the bilevel mixed integer linear programming problem under three simplifying assumptions. Comput Oper Res 41:309–318MathSciNetCrossRefMATH Xu P, Wang L (2014) An exact algorithm for the bilevel mixed integer linear programming problem under three simplifying assumptions. Comput Oper Res 41:309–318MathSciNetCrossRefMATH
Zurück zum Zitat Yan X, Gu C, Zhang X, Li F (2019) Robust optimization-based energy storage operation for system congestion management. IEEE Syst J 14(2):2694–2702CrossRef Yan X, Gu C, Zhang X, Li F (2019) Robust optimization-based energy storage operation for system congestion management. IEEE Syst J 14(2):2694–2702CrossRef
Zurück zum Zitat Yuan W, Wang J, Qiu F, Chen C, Kang C, Zeng B (2016) Robust optimization-based resilient distribution network planning against natural disasters. IEEE Trans Smart Grid 7(6):2817–2826CrossRef Yuan W, Wang J, Qiu F, Chen C, Kang C, Zeng B (2016) Robust optimization-based resilient distribution network planning against natural disasters. IEEE Trans Smart Grid 7(6):2817–2826CrossRef
Zurück zum Zitat Zeng B, Zhao L (2013) Solving two-stage robust optimization problems using a column-and-constraint generation method. Oper Res Lett 41(5):457–461MathSciNetCrossRefMATH Zeng B, Zhao L (2013) Solving two-stage robust optimization problems using a column-and-constraint generation method. Oper Res Lett 41(5):457–461MathSciNetCrossRefMATH
Zurück zum Zitat Zhang C, Xu Y, Dong ZY (2018) Probability-weighted robust optimization for distributed generation planning in microgrids. IEEE Trans Power Syst 33(6):7042–7051CrossRef Zhang C, Xu Y, Dong ZY (2018) Probability-weighted robust optimization for distributed generation planning in microgrids. IEEE Trans Power Syst 33(6):7042–7051CrossRef
Metadaten
Titel
Robust optimization in power systems: a tutorial overview
verfasst von
Antonio J. Conejo
Xuan Wu
Publikationsdatum
17.07.2021
Verlag
Springer US
Erschienen in
Optimization and Engineering / Ausgabe 4/2022
Print ISSN: 1389-4420
Elektronische ISSN: 1573-2924
DOI
https://doi.org/10.1007/s11081-021-09667-3

Weitere Artikel der Ausgabe 4/2022

Optimization and Engineering 4/2022 Zur Ausgabe

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.