WAMS State Estimation Considering Possible One-Step Delayed Measurements

Neda Eskandari, Maryam Dehghani, Mohsen Mohammadi, Navid Vafamand, Tomislav Dragicevic, Jose Rodriguez

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

Phasor Communication Delay in a large power system is indispensable. The delay can be mainly originated by the practical limitations of exploiting the communication line or the measurement units. In this paper, a linear Stochastic Delayed Kalman Filter (SDKF) is used for the wide-area measurement system (WAMS) application. It is considered that some or all information from the phasor measurement units (PMUs) may be received by a one-step delay. Therefore, the SDKF is utilized effectively to compensate for the influence of the wide-area monitoring system (WAMS) random delays on state estimation. To show the applicability of the SLKF, realtime simulations are carried out on the IEEE 14-bus benchmark via the OPAL-RT hardware. Real-time results show that the considered SLKF provides more accurate estimations than the conventional Kalman filter.

Idioma originalInglés
Título de la publicación alojada2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas328-333
Número de páginas6
ISBN (versión digital)9781728169903
DOI
EstadoPublicada - 28 sep 2020
Evento11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 - Dubrovnik, Croacia
Duración: 28 sep 20201 oct 2020

Serie de la publicación

Nombre2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020

Conferencia

Conferencia11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
PaísCroacia
CiudadDubrovnik
Período28/09/201/10/20

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Energías renovables, sostenibilidad y medio ambiente
  • Ingeniería eléctrica y electrónica
  • Control y optimización

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