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Optimization Model for the Integration of the Electric System and Gas Network: Peruvian Case

Author

Listed:
  • R. Navarro

    (Faculty of Mechanical Engineering, National University of Engineering, Lima 15333, Peru)

  • H. Rojas

    (Faculty of Mechanical Engineering, National University of Engineering, Lima 15333, Peru)

  • Izabelly S. De Oliveira

    (Department of Electrical Engineering, Federal University of Paraíba, Joao Pessoa 58051-900, PB, Brazil)

  • J. E. Luyo

    (Faculty of Mechanical Engineering, National University of Engineering, Lima 15333, Peru)

  • Y. P. Molina

    (Department of Electrical Engineering, Federal University of Paraíba, Joao Pessoa 58051-900, PB, Brazil)

Abstract

This paper presents a method for multi-period optimization of natural gas and electric power systems incorporating gas-fired power plants to analyze the impact of the interdependence between those commodities, in terms of cost and energy supply. The proposed method considers electricity network constraints, such as voltage profile, electrical losses, and limits of the transmission lines, as well as the technical restrictions on the gas network, such as the diameter, length, pressure, and limits for those variables. The proposed method was applied to a 12-bus electric network and a 7-node gas network, and several interdependencies between the electricity and the natural gas system network can be observed. The results show how the restrictions cause the behavior of the gas-fired power plants—in a low demand stage, it is restricted even when the gas-fired power generation prices are below the hydraulic generation prices, while in scenarios of higher demand, saturated cargo flows are observed, causing bus bar prices to be affected with higher operating costs. In this sense, the results of the variation in bus bar prices show little price stability in some bus bars in different stages, due to the behavior of the generation supply that is forced to operate by system restrictions.

Suggested Citation

  • R. Navarro & H. Rojas & Izabelly S. De Oliveira & J. E. Luyo & Y. P. Molina, 2022. "Optimization Model for the Integration of the Electric System and Gas Network: Peruvian Case," Energies, MDPI, vol. 15(10), pages 1-32, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3847-:d:822301
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    References listed on IDEAS

    as
    1. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    2. DE WOLF, Daniel & SMEERS, Yves, 2000. "The gas transmission problem solved by an extension of the simplex algorithm," LIDAM Reprints CORE 1489, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Daniel De Wolf & Yves Smeers, 2000. "The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm," Management Science, INFORMS, vol. 46(11), pages 1454-1465, November.
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    Cited by:

    1. Richard Navarro & Hugo Rojas & Jaime E. Luyo & Jose L. Silva & Yuri P. Molina, 2024. "Impacts of Natural Gas Pipeline Congestion on the Integrated Gas–Electricity Market in Peru," Energies, MDPI, vol. 17(18), pages 1-22, September.
    2. Anatoliy Swishchuk, 2023. "Overview of Some Recent Results of Energy Market Modeling and Clean Energy Vision in Canada," Risks, MDPI, vol. 11(8), pages 1-30, August.
    3. Aleksandra V. Varganova & Vadim R. Khramshin & Andrey A. Radionov, 2022. "Improving Efficiency of Electric Energy System and Grid Operating Modes: Review of Optimization Techniques," Energies, MDPI, vol. 15(19), pages 1-16, September.
    4. Aleksandra V. Varganova & Vadim R. Khramshin & Andrey A. Radionov, 2023. "Operating Modes Optimization for the Boiler Units of Industrial Steam Plants," Energies, MDPI, vol. 16(6), pages 1-14, March.

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