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pro vyhledávání: '"Tomas Valencia-Zuluaga"'
Autor:
Tomas Valencia-Zuluaga, Daniel Agudelo-Martinez, Dario Arango-Angarita, Camilo Acosta-Urrego, Sergio Rivera, Diego Rodriguez-Medina, Juan Gers
Publikováno v:
IEEE Access, Vol 9, Pp 52812-52824 (2021)
This paper presents a decomposition methodology using constraint handling rules to improve the computation time of a security-constrained optimal power flow (SCOPF) problem. In order to evaluate methodology performance, tests over small (500 buses),
Externí odkaz:
https://doaj.org/article/5a192a22416845599c9a01f7eaed9517
Autor:
Tomas Valencia Zuluaga, Shmuel S. Oren
Publikováno v:
IEEE Transactions on Energy Markets, Policy and Regulation. :1-12
Publikováno v:
2022 IEEE Power & Energy Society General Meeting (PESGM).
Autor:
Diego Rodriguez-Medina, Sergio Rivera, Dario Arango-Angarita, Tomas Valencia-Zuluaga, Juan M. Gers, Daniel Agudelo-Martinez, Camilo Acosta-Urrego
Publikováno v:
IEEE Access, Vol 9, Pp 52812-52824 (2021)
This paper presents a decomposition methodology using constraint handling rules to improve the computation time of a security-constrained optimal power flow (SCOPF) problem. In order to evaluate methodology performance, tests over small (500 buses),