Multiobjective Congestion Management and Transmission Switching Ensuring System Reliability
Sheikh, Morteza; Aghaei, Jamshid; Rajabdorri, Mohammad; Shafie-khah, Miadreza; Lotfi, Mohamed; Javadi, Mohammad S.; Catalão, João P. S. (2019-08-01)
Sheikh, Morteza
Aghaei, Jamshid
Rajabdorri, Mohammad
Shafie-khah, Miadreza
Lotfi, Mohamed
Javadi, Mohammad S.
Catalão, João P. S.
IEEE
01.08.2019
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202102195441
https://urn.fi/URN:NBN:fi-fe202102195441
Kuvaus
vertaisarvioitu
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Tiivistelmä
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.
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