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Información del artículo

Security-constrained model for integrated power and natural-gas system

C.M. Correa-Posada, P. Sánchez, S. Lumbreras

One of the main factors impacting the reliability of energy systems nowadays is the growing interdependence between electricity and gas networks due to the increase in the installation of gas-fired units. Securityconstrained unit commitment (SCUC) models are used to economically schedule generating units without compromising the system reliability. This paper proposes a novel SCUC formulation that includes dynamic gas constraints, such as the line pack, and transmission contingencies in power and gas networks for studying the integrated system reliability. A Benders’ decomposition with linear programming techniques is developed to be able to study large systems. By including dynamic gas constraints into the SCUC, the proposed model accounts for the flexibility and reliability that power systems require from gas systems in the short term. Case studies of different size and complexity are employed to illustrate how the reliability of one system is affected by the reliability of the other. These experiments show how both systems operate in a secure way (by including contingencies) increases operating costs by approximately 9% and also show how these costs can vary by 24% depending on the line pack scheduling.

Keywords: Benders’ decomposition, Natural gas, Reliability, Security-constrained unit commitment

Journal of Modern Power Systems and Clean Energy Volumen: 5 Número: 3 Páginas: 326-336

Índice de impacto JCR y cuartil WoS: 2.122 - Q2 (2017); 3.090 - Q2 (2019)

Referencia DOI: DOI icon 10.1007/s40565-017-0287-y

Publicado en papel: Mayo 2017.

Publicado on-line: Abril 2017.

C.M. Correa-Posada, P. Sánchez, S. Lumbreras. Security-constrained model for integrated power and natural-gas system. Journal of Modern Power Systems and Clean Energy. Mayo 2017. [Online: Abril 2017]

    Líneas de investigación:
  • *Programación de la Operación a Corto Plazo, Elaboración de Ofertas y Análisis de Reservas de Operación