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Multiobjective congestion management and transmission switching ensuring system reliability

M. Sheikh, j Aghaei, M. Rajabdorri, M. Shafie-khah, M. Lotfi, M.S. Javadi, J.P.S. Catalão

19th IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe - 2019 EEEIC / I&CPS Europe, Génova (Italia). 11-14 junio 2019


Resumen:

Congestion in transmission lines is an important topic in power systems and it continues to be an area of active research. Various approaches have been proposed to mitigate congestion especially immediate ready ones such as Congestion Management (CM) and Transmission Switching (TS). Using either of the two or their combination (CMTS) may have undesirable consequences like increasing operational costs or increasing the number of switching of transmission lines. More switching aggravates system reliability and imposes extra costs on the operator. In this paper, a multi-objective model is introduced which reduces overall operation costs, the number of switching in transmission lines, and the congestion of lines, compared to available approaches which employ congestion management and TS simultaneously. To verify the performance of the proposed model, it is implemented using GAMS and tested on 6- and 118- bus IEEE test systems. A benders' decomposition approach was employed.


Palabras clave: component, multi-objective model, congestion management, transmission switching, benders’ decomposition.


DOI: DOI icon https://doi.org/10.1109/EEEIC.2019.8783489

Publicado en 2019 EEEIC / I&CPS Europe, pp: 1-5, ISBN: 978-1-7281-0654-0

Fecha de publicación: 2019-08-01.



Cita:
M. Sheikh, j Aghaei, M. Rajabdorri, M. Shafie-khah, M. Lotfi, M.S. Javadi, J.P.S. Catalão, Multiobjective congestion management and transmission switching ensuring system reliability, 19th IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe - 2019 EEEIC / I&CPS Europe, Génova (Italia). 11-14 junio 2019. En: 2019 EEEIC / I&CPS Europe: Conference proceedings, ISBN: 978-1-7281-0654-0

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