WAMS State Estimation Considering Possible One-Step Delayed Measurements

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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems
PublisherIEEE
Publication date2020
Pages328-333
ISBN (Print)9781728169903
DOIs
Publication statusPublished - 2020
EventIEEE 11th International Symposium on Power Electronics for Distributed Generation Systems - Virtual event, Dubrovnik, Croatia
Duration: 28 Sep 20201 Oct 2020

Conference

ConferenceIEEE 11th International Symposium on Power Electronics for Distributed Generation Systems
LocationVirtual event
CountryCroatia
CityDubrovnik
Period28/09/202001/10/2020
Series2020 Ieee 11th International Symposium on Power Electronics for Distributed Generation Systems (pedg)
ISSN2329-5767

Keywords

  • Wide-area Monitoring System (WAMS)
  • Stochastic Kalman Filter, Random Measurement Delay
  • Phasor Measurement Unit (PMU)

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