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 language | English |
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Title of host publication | Proceedings of 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems |
Publisher | IEEE |
Publication date | 2020 |
Pages | 328-333 |
ISBN (Print) | 9781728169903 |
DOIs | |
Publication status | Published - 2020 |
Event | 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems - Virtual event, Dubrovnik, Croatia Duration: 28 Sept 2020 → 1 Oct 2020 https://ieeexplore.ieee.org/xpl/conhome/9244275/proceeding |
Conference
Conference | 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems |
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Location | Virtual event |
Country/Territory | Croatia |
City | Dubrovnik |
Period | 28/09/2020 → 01/10/2020 |
Internet address |
Keywords
- Wide-area Monitoring System (WAMS)
- Stochastic Kalman Filter, Random Measurement Delay
- Phasor Measurement Unit (PMU)