Assessment of dynamic transformer rating, considering current and temperature limitations

Detalhes bibliográficos
Parent link:International Journal of Electrical Power & Energy Systems
Vol. 129.— 2021.— [106886, 12 p.]
Autor Corporativo: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Отделение электроэнергетики и электротехники (ОЭЭ)
Outros Autores: Daminov I. B. Ildar Bolatovich, Prokhorov A. V. Anton Viktorovich, Caire R. Raphael, Alvarez-Herault M.-C. Marie-Cecile
Resumo:Title screen
Nowadays, transformers can be operated close to their thermal limits. The state of the art in transformer thermal limits are Dynamic Thermal Rating (DTR). DTR can be based on two temperature limits: either a design temperature or maximal-permissible temperature. However, many papers estimate DTR with the design temperature only. Therefore, the true DTR is still underestimated since temperature limit is ignored as well as current limits (in some papers). Moreover, many papers rely on the conservative assumption of typical historical load profile or net load profile (considering the distributed generation, storage, electric vehicles). However, modern DSO can control the shape of (net) load profile. This can make a DTR estimation, assuming some typical (net) load profile, valuable only for a particular shape of (net) load profile but not for its modifications. This paper suggests a DTR feasible region which is constructed from current and temperature limitations and does not rely on typical load profiles. As a case study, we investigate DTR in cold and warm climates: one case in Russia with a continental climate and another in France with a temperate climate. In these climates, we assess DTR for the most common combinations of current and temperature limitations, used in standards and literature. As a result, DTR can ensure an additional capacity up to 45%. DTR, based on temperature limits, are 100% of time higher than nominal rating. Moreover, the limiting factors of DTR are quantified based on analysis of 34-year ambient temperature data. Finally, comprehensive recommendations for transformer overloading are formulated.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:inglês
Publicado em: 2021
Assuntos:
Acesso em linha:https://doi.org/10.1016/j.ijepes.2021.106886
Formato: Recurso Electrónico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665182

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