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The Value of Day-Ahead Coordination of Power and Natural Gas Network Operations

Author

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  • Kwabena Addo Pambour

    (cleaNRGi® Solutions GmbH, 45127 Essen, Germany)

  • Rostand Tresor Sopgwi

    (cleaNRGi® Solutions GmbH, 45127 Essen, Germany)

  • Bri-Mathias Hodge

    (Power Systems Engineering Center, National Renewable Energy Laboratory (NREL), Golden, CO 15013, USA)

  • Carlo Brancucci

    (Power Systems Engineering Center, National Renewable Energy Laboratory (NREL), Golden, CO 15013, USA)

Abstract

The operations of electricity and natural gas transmission networks in the U.S. are increasingly interdependent, due to the growing number of installations of gas fired generators and the penetration of renewable energy sources. This development suggests the need for closer communication and coordination between gas and power transmission system operators in order to improve the efficiency and reliability of the combined energy system. In this paper, we present a co-simulation platform for examining the interdependence between natural gas and electricity transmission networks based on a direct current unit-commitment and economic dispatch model for the power system and a transient hydraulic gas model for the gas system. We analyze the value of day-ahead coordination of power and natural gas network operations and show the importance of considering gas system constraints when analyzing power systems operation with high penetration of gas generators and renewable energy sources. Results show that day-ahead coordination contributes to a reduction in curtailed gas during high stress periods (e.g., large gas offtake ramps) and a reduction in energy consumption of gas compressor stations.

Suggested Citation

  • Kwabena Addo Pambour & Rostand Tresor Sopgwi & Bri-Mathias Hodge & Carlo Brancucci, 2018. "The Value of Day-Ahead Coordination of Power and Natural Gas Network Operations," Energies, MDPI, vol. 11(7), pages 1-23, June.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1628-:d:153806
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    References listed on IDEAS

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    1. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    2. Pambour, Kwabena Addo & Cakir Erdener, Burcin & Bolado-Lavin, Ricardo & Dijkema, Gerard P.J., 2017. "SAInt – A novel quasi-dynamic model for assessing security of supply in coupled gas and electricity transmission networks," Applied Energy, Elsevier, vol. 203(C), pages 829-857.
    3. Ríos-Mercado, Roger Z. & Borraz-Sánchez, Conrado, 2015. "Optimization problems in natural gas transportation systems: A state-of-the-art review," Applied Energy, Elsevier, vol. 147(C), pages 536-555.
    4. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Li, Xiaojing, 2017. "Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process," Applied Energy, Elsevier, vol. 194(C), pages 696-704.
    5. Draxl, Caroline & Clifton, Andrew & Hodge, Bri-Mathias & McCaa, Jim, 2015. "The Wind Integration National Dataset (WIND) Toolkit," Applied Energy, Elsevier, vol. 151(C), pages 355-366.
    6. Bai, Linquan & Li, Fangxing & Cui, Hantao & Jiang, Tao & Sun, Hongbin & Zhu, Jinxiang, 2016. "Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 270-279.
    7. Cui, Hantao & Li, Fangxing & Hu, Qinran & Bai, Linquan & Fang, Xin, 2016. "Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants," Applied Energy, Elsevier, vol. 176(C), pages 183-195.
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    Cited by:

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    2. Brian Sergi & Kwabena Pambour, 2022. "An Evaluation of Co-Simulation for Modeling Coupled Natural Gas and Electricity Networks," Energies, MDPI, vol. 15(14), pages 1-18, July.
    3. Vahid Khaligh & Majid Oloomi Buygi & Amjad Anvari-Moghaddam & Josep M. Guerrero, 2018. "A Multi-Attribute Expansion Planning Model for Integrated Gas–Electricity System," Energies, MDPI, vol. 11(10), pages 1-22, September.
    4. Ali Ekhtiari & Damian Flynn & Eoin Syron, 2020. "Investigation of the Multi-Point Injection of Green Hydrogen from Curtailed Renewable Power into a Gas Network," Energies, MDPI, vol. 13(22), pages 1-21, November.
    5. Cavana, Marco & Mazza, Andrea & Chicco, Gianfranco & Leone, Pierluigi, 2021. "Electrical and gas networks coupling through hydrogen blending under increasing distributed photovoltaic generation," Applied Energy, Elsevier, vol. 290(C).

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