Abstract
The ability of gas-fired power plants to ramp quickly is used to balance fluctuations in the power grid caused by renewable energy sources, which in turn leads to time-varying gas consumption and fluctuations in the gas network. Since gas system operators assume nearly constant gas consumption, there is a need to assess the risk of these stochastic fluctuations, which occur on shorter time scales than the planning horizon. We present a mathematical formulation for these stochastic fluctuations as a generalization of isothermal Euler equations. Furthermore, we discuss control policies to damp fluctuations in the network.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abgrall, R., Congedo, P.M., Geraci, G., Iaccarino, G.: An adaptive multiresolution semi-intrusive scheme for UQ in compressible fluid problems. Int. J. Numer. Methods Fluids 78, 595–637 (2015)
Banda, M.K., Herty, M., Klar, A.: Coupling conditions for gas networks governed by the isothermal Euler equations. Netw. Heterogen. Media 1, 295–314 (2006)
Brouwer, J., Gasser, I., Herty, M.: Gas pipeline models revisited: Model hierarchies, nonisothermal models, and simulations of networks. Multiscale Model. Simul. 9, 601–623 (2011)
Cameron, R.H., Martin, W.T.: The orthogonal development of non-linear functionals in series of Fourier-Hermite functionals. Ann. Math. 48(2), 385–392 (1947)
Chertkov, M., Korotkevich, A.: Adiabatic approach for natural gas pipeline computations. In: IEEE 56th Annual Conference on Decision and Control, pp. 5634–5639. IEEE, Piscataway (2017)
Chertkov, M., Backhaus, S., Lebedev, V.: Cascading of fluctuations in interdependent energy infrastructures: gas-grid coupling. Appl. Energy 160, 541–551 (2015)
Chertkov, M., Fisher, M., Backhaus, S., Bent, R., Misra, S.: Pressure fluctuations in natural gas networks caused by gas-electric coupling. In: 48th Hawaii International Conference on System Sciences, pp. 2738–2747. IEEE, Piscataway (2015)
Colombo, R.M., Garavello, M.: A well-posed Riemann problem for the p-system at a junction. Netw. Heterogen. Media 1, 495–511 (2006)
Colombo, R.M., Garavello, M.: Euler system for compressible fluids at a junction. J. Hyperbolic Differ. Equ. 5, 547–568 (2008)
Després, B., Poëtte, G., Lucor, D.: Uncertainty quantification for systems of conservation laws. J. Comput. Phys. 228, 2443–2467 (2009)
Gerster, S., Herty, M., Sikstel, A.: Hyperbolic stochastic Galerkin formulation for the p-system. J. Comput. Phys. 395, 186–204 (2019)
Ghanem, R.G., Spanos, P.D.: Stochastic Finite Elements: A Spectral Approach. Springer, New York (1991)
Gugat, M., Herty, M.: Existence of classical solutions and feedback stabilization for the flow in gas networks. ESAIM Control Optim. Calc. Var. 17, 28–51 (2011)
Moniz, E., Meggs, A., et al. The Future of Natural Gas. An Interdisciplinary MIT study. MIT Energy Initiative, Cambridge (2011)
Osiadacz, A.: Nonlinear programming applied to the optimum control of a gas compressor station. Int. J. Numer. Methods Eng. 15, 1287–1301 (1980)
Pettersson, P., Iaccarino, G., Nordström, J.: A stochastic Galerkin method for the Euler equations with Roe variable transformation. J. Comput. Phys. 257, 481–500 (2014)
Wiener, N.: The homogeneous chaos. Am. J. Math. 60(4), 897–936 (1938)
Xiu, D., Karniadakis, G.E.: The Wiener-Askey polynomial chaos for stochastic differential equations. SIAM J. Sci. Comput. 24, 619–644 (2002)
Zlotnik, A., Roald, L., Backhaus, S., Chertkov, M., Andersson, G.: Control policies for operational coordination of electric power and natural gas transmission systems. In: 2016 American Control Conference (ACC), pp. 7478–7483. IEEE, Piscataway (2016)
Acknowledgements
This work is supported by DFG HE5386/14,15, BMBF 05M18PAA, DFG-GRK 2326, Student Guest Program of Los Alamos National Laboratory.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Gerster, S., Herty, M., Chertkov, M., Vuffray, M., Zlotnik, A. (2019). Polynomial Chaos Approach to Describe the Propagation of Uncertainties Through Gas Networks. In: Faragó, I., Izsák, F., Simon, P. (eds) Progress in Industrial Mathematics at ECMI 2018. Mathematics in Industry(), vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-27550-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-27550-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27549-5
Online ISBN: 978-3-030-27550-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)