Abstract
This paper presents the results and testing of a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. This work is a continuation of that in [1], which described a decentralized mode estimation architecture that enables the application to better detect local modes whose observability is affected by other more observable modes. The tests in this paper were carried out using an active distribution network (ADN) comprised of a high voltage network connected to a distribution grid including renewable energy resources (RES). The developed application was run in a decentralized architecture where each PMU was associated with its own processing unit which was running the application to estimate modes from the time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with its centralized counterpart.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
| Place of Publication | Piscataway |
| Publisher | IEEE Computer Society |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538622124 |
| DOIs | |
| Publication status | Published - 29 Jan 2018 |
| Event | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, IL USA, Chicago, United States Duration: 16 Jul 2017 → 20 Jul 2017 http://www.pes-gm.org/2017 http://www.pes-gm.org/2017/ |
Conference
| Conference | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
|---|---|
| Abbreviated title | PESGM 2017 |
| Country | United States |
| City | Chicago |
| Period | 16/07/17 → 20/07/17 |
| Internet address |
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Keywords
- Decentralized Mode Estimation
- Mode-meter
- Oscillations
- Phasor Measurement Unit (PMU)
- Power System Monitoring
Cite this
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Experimental real-time testing of a decentralized PMU data-based power systems mode estimator. / Singh, Ravi Shankar; Hooshyar, Hossein; Vanfretti, Luigi.
2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Piscataway : IEEE Computer Society, 2018. 8274269.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Experimental real-time testing of a decentralized PMU data-based power systems mode estimator
AU - Singh, Ravi Shankar
AU - Hooshyar, Hossein
AU - Vanfretti, Luigi
PY - 2018/1/29
Y1 - 2018/1/29
N2 - This paper presents the results and testing of a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. This work is a continuation of that in [1], which described a decentralized mode estimation architecture that enables the application to better detect local modes whose observability is affected by other more observable modes. The tests in this paper were carried out using an active distribution network (ADN) comprised of a high voltage network connected to a distribution grid including renewable energy resources (RES). The developed application was run in a decentralized architecture where each PMU was associated with its own processing unit which was running the application to estimate modes from the time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with its centralized counterpart.
AB - This paper presents the results and testing of a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. This work is a continuation of that in [1], which described a decentralized mode estimation architecture that enables the application to better detect local modes whose observability is affected by other more observable modes. The tests in this paper were carried out using an active distribution network (ADN) comprised of a high voltage network connected to a distribution grid including renewable energy resources (RES). The developed application was run in a decentralized architecture where each PMU was associated with its own processing unit which was running the application to estimate modes from the time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with its centralized counterpart.
KW - Decentralized Mode Estimation
KW - Mode-meter
KW - Oscillations
KW - Phasor Measurement Unit (PMU)
KW - Power System Monitoring
UR - http://www.scopus.com/inward/record.url?scp=85046341859&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2017.8274269
DO - 10.1109/PESGM.2017.8274269
M3 - Conference contribution
AN - SCOPUS:85046341859
BT - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PB - IEEE Computer Society
CY - Piscataway
ER -