Data-Driven Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems

Anubhav Ratha, Anna Schwele, Jalal Kazempour, Pierre Pinson, Shahab Shariat Torbaghan, Ana Virag

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

Using flexibility from the coordination of power and natural gas systems helps with the integration of variable renewable energy in power systems. To include this flexibility
into the operational decision-making problem, we propose a datadriven distributionally robust chance-constrained co-optimization of power and natural gas systems considering flexibility from short-term gas storage in pipelines, i.e., linepack. Recourse actions in both systems, based on linear decision rules, allow adjustments to the dispatch and operating set-points during realtime operation when the uncertainty in wind power production is revealed. We convexify the non-linear and non-convex power
and gas flow equations using DC power flow approximation and second-order cone relaxation, respectively. Our coordination approach enables a study of the mitigation of short-term uncertainty propagated from the power system to the gas side. We analyze the results of the proposed approach on a case study and evaluate the solution quality via out-of-sample simulations performed ex-ante.
Original languageEnglish
Title of host publicationProceedings of 21st Power Systems Computation Conference
Number of pages7
Publication statusSubmitted - 2019
EventXXI Power Systems Computation Conference - Faculty of Engineering of University of Porto, Porto, Portugal
Duration: 29 Jun 20203 Jul 2020
https://pscc2020.pt/

Conference

ConferenceXXI Power Systems Computation Conference
LocationFaculty of Engineering of University of Porto
CountryPortugal
CityPorto
Period29/06/202003/07/2020
Internet address

Keywords

  • Data-driven linear decision rules
  • Distributionally robust chance constraints
  • Linepack flexibility
  • Power and natural gas coordination
  • Second-order cone program

Cite this

Ratha, A., Schwele, A., Kazempour, J., Pinson, P., Torbaghan, S. S., & Virag, A. (2019). Data-Driven Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems. Manuscript submitted for publication. In Proceedings of 21st Power Systems Computation Conference
Ratha, Anubhav ; Schwele, Anna ; Kazempour, Jalal ; Pinson, Pierre ; Torbaghan, Shahab Shariat ; Virag, Ana. / Data-Driven Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems. Proceedings of 21st Power Systems Computation Conference. 2019.
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title = "Data-Driven Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems",
abstract = "Using flexibility from the coordination of power and natural gas systems helps with the integration of variable renewable energy in power systems. To include this flexibilityinto the operational decision-making problem, we propose a datadriven distributionally robust chance-constrained co-optimization of power and natural gas systems considering flexibility from short-term gas storage in pipelines, i.e., linepack. Recourse actions in both systems, based on linear decision rules, allow adjustments to the dispatch and operating set-points during realtime operation when the uncertainty in wind power production is revealed. We convexify the non-linear and non-convex powerand gas flow equations using DC power flow approximation and second-order cone relaxation, respectively. Our coordination approach enables a study of the mitigation of short-term uncertainty propagated from the power system to the gas side. We analyze the results of the proposed approach on a case study and evaluate the solution quality via out-of-sample simulations performed ex-ante.",
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Ratha, A, Schwele, A, Kazempour, J, Pinson, P, Torbaghan, SS & Virag, A 2019, Data-Driven Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems. in Proceedings of 21st Power Systems Computation Conference. XXI Power Systems Computation Conference, Porto, Portugal, 29/06/2020.

Data-Driven Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems. / Ratha, Anubhav; Schwele, Anna; Kazempour, Jalal; Pinson, Pierre; Torbaghan, Shahab Shariat; Virag, Ana.

Proceedings of 21st Power Systems Computation Conference. 2019.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AU - Torbaghan, Shahab Shariat

AU - Virag, Ana

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AB - Using flexibility from the coordination of power and natural gas systems helps with the integration of variable renewable energy in power systems. To include this flexibilityinto the operational decision-making problem, we propose a datadriven distributionally robust chance-constrained co-optimization of power and natural gas systems considering flexibility from short-term gas storage in pipelines, i.e., linepack. Recourse actions in both systems, based on linear decision rules, allow adjustments to the dispatch and operating set-points during realtime operation when the uncertainty in wind power production is revealed. We convexify the non-linear and non-convex powerand gas flow equations using DC power flow approximation and second-order cone relaxation, respectively. Our coordination approach enables a study of the mitigation of short-term uncertainty propagated from the power system to the gas side. We analyze the results of the proposed approach on a case study and evaluate the solution quality via out-of-sample simulations performed ex-ante.

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Ratha A, Schwele A, Kazempour J, Pinson P, Torbaghan SS, Virag A. Data-Driven Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems. In Proceedings of 21st Power Systems Computation Conference. 2019