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Gas Network Extension Planning for Multiple Demand Scenarios

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Operations Research Proceedings 2014

Part of the book series: Operations Research Proceedings ((ORP))

Abstract

Today’s gas markets demand more flexibility from the network operators which in turn have to invest into their network infrastructure. As these investments are very cost-intensive and long-living, network extensions should not only focus on one bottleneck scenario, but should increase the flexibility to fulfill different demand scenarios. We formulate a model for the network extension problem for multiple demand scenarios and propose a scenario decomposition. We solve MINLP single-scenario sub-problems and obtain valid bounds even without solving them to optimality. Heuristics prove capable of improving the initial solutions substantially. Results of computational experiments are presented.

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References

  1. Fügenschuh, A., Hiller, B., Humpola, J., Koch, T., Lehman, T., Schwarz, R., Schweiger, J., Szabó, J.: Gas network topology optimization for upcoming market requirements. In: IEEE Proceedings of the 8th International Conference on the European Energy Market (EEM), pp. 346–351 (2011)

    Google Scholar 

  2. Gaslib: A library of gas network instances (2013). http://gaslib.zib.de

  3. Geißler, B., Martin, A., Morsi, A.: Lamatto++ (2014). http://www.mso.math.fau.de/edom/projects/lamatto.html

  4. Koch, T., Hiller, B., Pfetsch, M.E., Schewe, L. (eds.): From Simulation to Optimization: Evaluating Gas Network Capacities. MOS-SIAM Series on Optimization. SIAM—Society for Industrial and Applied Mathematics (2015)

    Google Scholar 

  5. Pfetsch, M.E., Fügenschuh, A., Geißler, B., Geißler, N., Gollmer, R., Hiller, B., Humpola, J., Koch, T., Lehmann, T., Martin, A., Morsi, A., Rövekamp, J., Schewe, L., Schmidt, M., Schultz, R., Schwarz, R., Schweiger, J., Stangl, C., Steinbach, M.C., Vigerske, S., Willert, B.M.: Validation of nominations in gas network optimization: models, methods, and solutions. Optim. Methods Softw. (2014)

    Google Scholar 

  6. Singh, K.J., Philpott, A.B., Wood, R.K.: Dantzig-wolfe decomposition for solving multistage stochastic capacity-planning problems. Oper. Res. 57(5), 1271–1286 (2009)

    Google Scholar 

  7. Wallace, S.W.: Stochastic programming and the option of doing it differently. Ann. Oper. Res. 177(1), 38 (2010)

    Google Scholar 

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Acknowledgments

The author is grateful to Open Grid Europe GmbH (OGE, Essen/Germany) for supporting this work. Furthermore, the author wants to thank all collaborators in the ForNe project and all developers of Lamatto++.

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Correspondence to Jonas Schweiger .

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Schweiger, J. (2016). Gas Network Extension Planning for Multiple Demand Scenarios. In: Lübbecke, M., Koster, A., Letmathe, P., Madlener, R., Peis, B., Walther, G. (eds) Operations Research Proceedings 2014. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-28697-6_75

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