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Security-Constrained Optimization Framework for Large-Scale Power Systems Including Post-contingency Remedial Actions and Inter-temporal Constraints

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Advances in Energy System Optimization

Part of the book series: Trends in Mathematics ((TM))

Abstract

To cope with a growing amount of congestion in the transmission grid, decision support systems for transmission system operation have to be developed. Thus, this paper presents a security-constrained optimization framework including post-contingency control for the application in transmission grid operation with excellent applicability to large-scale power systems and outstanding computational performance.

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References

  1. Breuer C (2014) Optimale Marktgebietszuschnitte und ihre Bewertung im europäischen Stromhandel. PhD thesis, RWTH Aachen, Aachen

    Google Scholar 

  2. Bundesnetzagentur, Bundeskartellamt (14.11.2014) Monitoringbericht 2014

    Google Scholar 

  3. Deutsche Ăśbertragungsnetzbetreiber (04.11.2014) Netzentwicklungsplan Strom 2014: Zweiter Entwurf der Ăśber-tragungsnetzbetreiber

    Google Scholar 

  4. Eickmann J, Drees T, Sprey JD, Moser A (2014) Optimizing storages for transmission system operation. Energy Procedia 46

    Google Scholar 

  5. Eickmann J, Kellermann J, Moser A (2015) Efficient power flow approximation methodology for topology optimization algorithms in transmission system operation. In: 5th International Conference on Clean Electric Power 2015

    Google Scholar 

  6. Glavitsch H, Bacher R (1991) Optimal power flow algorithms. Analysis and Control System Techniques for Electric Power Systems, ACADEMIC Press Inc (41)

    Google Scholar 

  7. Hug-Glanzmann G, Andersson G (14-18.07.2008) An accurate and efficient current injection method for the determination of the system state during line outages

    Google Scholar 

  8. Intel Corporation (2014) Reference manual for intel\({\textregistered }\) math kernel library 11.1 update 4

    Google Scholar 

  9. Linnemann C, Echternacht D, Breuer C, Moser A (2011) Modeling optimal redispatch for the european transmission grid. In: PowerTech, 2011 IEEE Trondheim, pp 1–8

    Google Scholar 

  10. Mirbach T (2009) Marktsimulationsverfahren zur untersuchung der preisentwicklung im europäischen markt für elektrische energie. PhD thesis, RWTH Aachen, Aachen

    Google Scholar 

  11. Pegase Consortium (2011) D3.2: Development of prototype software for steady state optimizsation of the etn

    Google Scholar 

  12. Platbrood L, Capitanescu F, Merckx C, Crisciu H, Wehenkel L (2014) A generic approach for solving nonlinear-discrete security-constrained optimal power flow problems in large-scale systems. IEEE Transactions on Power Systems 29(3):1194–1203

    Article  Google Scholar 

  13. Ringelband T (2011) Unsicherheit witterungsabhängiger Übertragungskapazitäten bei der Netzbetriebsplanung. PhD thesis, RWTH Aachen, Aachen

    Google Scholar 

  14. Zhu J (2009) Optimization of power system operation. IEEE Press series on power engineering, Wiley-IEEE and John Wiley [distributor], Piscataway, N.J. and Chichester

    Google Scholar 

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Acknowledgements

This research work has been carried out within the scope of the project UMBRELLA, supported under the 7th Framework Programme of the European Union, grant agreement 282775.

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Correspondence to Jonas Eickmann .

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Eickmann, J., Bredtmann, C., Moser, A. (2017). Security-Constrained Optimization Framework for Large-Scale Power Systems Including Post-contingency Remedial Actions and Inter-temporal Constraints. In: Bertsch, V., Fichtner, W., Heuveline, V., Leibfried, T. (eds) Advances in Energy System Optimization. Trends in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-51795-7_4

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