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Power System Operator in Mexico Reveals Millions in Savings by Updating Its Short-Term Thermal Unit Commitment Model

Author

Listed:
  • José L. Ceciliano-Meza

    (Departamento de Análisis de Redes, Instituto de Investigaciones Eléctricas, Cuernavaca, Morelos, México 11510)

  • Juan Álvarez López

    (Departamento de Análisis de Redes, Instituto de Investigaciones Eléctricas, Cuernavaca, Morelos, México 11510)

  • Armando De la Torre Sánchez

    (Departamento de Análisis de Redes, Instituto de Investigaciones Eléctricas, Cuernavaca, Morelos, México 11510)

  • Rolando Nieva Gómez

    (Departamento de Análisis de Redes, Instituto de Investigaciones Eléctricas, Cuernavaca, Morelos, México 11510)

  • Isaías Guillén Moya

    (Departamento de Análisis de Redes, Instituto de Investigaciones Eléctricas, Cuernavaca, Morelos, México 11510)

  • Roberto Navarro Pérez

    (Departamento de Análisis de Redes, Instituto de Investigaciones Eléctricas, Cuernavaca, Morelos, México 11510)

  • Favio Perales Martínez

    (Departamento de Análisis de Redes, Instituto de Investigaciones Eléctricas, Cuernavaca, Morelos, México 11510)

  • César Torres Ruiz

    (Subdirección del CENACE, Gerencia de Operación del Mercado, D.F, México 01780)

  • Anselmo Sánchez Sánchez

    (Subdirección del CENACE, Gerencia de Operación del Mercado, D.F, México 01780)

  • Mehmet B. Yildirim

    (Department of Industrial and Manufacturing Engineering, Wichita State University, Wichita, Kansas 67260)

Abstract

In 2013, Centro Nacional de Control de Energía (CENACE), which is Mexico’s power system operator, updated its short-term hydrothermal coordination planning (STHTCP) tool. CENACE utilized commercial software to solve mixed-integer programming models for the unit commitment and economic dispatch of thermal units, such as gas, coal-fired, and combined-cycle plants. In an earlier paper that we reference, authors of this paper describe the mathematical model for the thermal unit commitment (TUC) problem, which is a sub-problem in the STHTCP process. The new STHTCP tool, which uses a mixed-integer programming-based TUC approach, has enhanced the modeling and solution quality compared to the Lagrangian relaxation-based TUC approach. The new tool has improved CENACE’s operations for managing its existing infrastructure, including power stations and transmission lines, and establishing the marginal prices needed to make energy trades. From the beginning of 2013 to the end of 2014, CENACE saved $2.2 million annually, which it attributes to better management of its thermal units. Over 10 years, it anticipates that these savings will represent more than $20 million in total savings.

Suggested Citation

  • José L. Ceciliano-Meza & Juan Álvarez López & Armando De la Torre Sánchez & Rolando Nieva Gómez & Isaías Guillén Moya & Roberto Navarro Pérez & Favio Perales Martínez & César Torres Ruiz & Anselmo Sán, 2016. "Power System Operator in Mexico Reveals Millions in Savings by Updating Its Short-Term Thermal Unit Commitment Model," Interfaces, INFORMS, vol. 46(6), pages 493-502, December.
    • Handle: RePEc:inm:orinte:v:46:y:2016:i:6:p:493-502
    DOI: 10.1287/inte.2016.0863
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    References listed on IDEAS

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    1. F. Heredia & N. Nabona, 1994. "Development and computational tests of an undecoupled optimum short-term hydro-thermal schedulling code using network flows," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(1), pages 105-132, June.
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    Cited by:

    1. Ignacio Marín Cruz & Mohamed Badaoui & Ricardo Mota Palomino, 2023. "Medium-Term Hydrothermal Scheduling of the Infiernillo Reservoir Using Stochastic Dual Dynamic Programming (SDDP): A Case Study in Mexico," Energies, MDPI, vol. 16(17), pages 1-26, August.
    2. Lauven, Lars-Peter & Geldermann, Jutta & Desideri, Umberto, 2019. "Estimating the revenue potential of flexible biogas plants in the power sector," Energy Policy, Elsevier, vol. 128(C), pages 402-410.

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