Modeling and simulation of dynamic communication latency and data aggregation for wide- Area applications

Yinan Cui, Rajesh G. Kavasseri, Nilanjan Ray Chaudhuri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper introduces a framework to model two factors: (a) dynamic communication latency and (b) the phasor data concentrator (PDC) for wide area monitoring and control (WAMC) applications. A transport delay model is introduced to simulate continuous variations in latencies and a time synchronization algorithm is represented to mimic the effect of PDCs. The models allow the analysis of latency build-up and data aggregation that occurs at the PDC. The proposed models are used to assess the impact of these factors for a WAMC application, namely power oscillation monitoring. Numerical simulations are conducted on the IEEE 39 bus, 10 machine system assuming a PMU at each of the generator buses and across 4 tie- lines in the system. Modal extraction from the dynamic response using Prony analysis shows that latency has a significant impact on the estimates.

Original languageEnglish (US)
Title of host publication2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509011582
DOIs
StatePublished - May 26 2016
EventWorkshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Vienna, Austria
Duration: Apr 11 2016 → …

Publication series

Name2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings

Other

OtherWorkshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016
CountryAustria
CityVienna
Period4/11/16 → …

Fingerprint

Data Aggregation
Modeling and Simulation
Latency
Agglomeration
Concentrator
Communication
Monitoring
Time Synchronization
Tie
Dynamic Response
Model
Dynamic response
Synchronization
Generator
Oscillation
Numerical Simulation
Line
Computer simulation
Estimate

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Modeling and Simulation
  • Artificial Intelligence
  • Energy Engineering and Power Technology

Cite this

Cui, Y., Kavasseri, R. G., & Chaudhuri, N. R. (2016). Modeling and simulation of dynamic communication latency and data aggregation for wide- Area applications. In 2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings [07480225] (2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MSCPES.2016.7480225
Cui, Yinan ; Kavasseri, Rajesh G. ; Chaudhuri, Nilanjan Ray. / Modeling and simulation of dynamic communication latency and data aggregation for wide- Area applications. 2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings).
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Cui, Y, Kavasseri, RG & Chaudhuri, NR 2016, Modeling and simulation of dynamic communication latency and data aggregation for wide- Area applications. in 2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings., 07480225, 2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings, Institute of Electrical and Electronics Engineers Inc., Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016, Vienna, Austria, 4/11/16. https://doi.org/10.1109/MSCPES.2016.7480225

Modeling and simulation of dynamic communication latency and data aggregation for wide- Area applications. / Cui, Yinan; Kavasseri, Rajesh G.; Chaudhuri, Nilanjan Ray.

2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 07480225 (2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - This paper introduces a framework to model two factors: (a) dynamic communication latency and (b) the phasor data concentrator (PDC) for wide area monitoring and control (WAMC) applications. A transport delay model is introduced to simulate continuous variations in latencies and a time synchronization algorithm is represented to mimic the effect of PDCs. The models allow the analysis of latency build-up and data aggregation that occurs at the PDC. The proposed models are used to assess the impact of these factors for a WAMC application, namely power oscillation monitoring. Numerical simulations are conducted on the IEEE 39 bus, 10 machine system assuming a PMU at each of the generator buses and across 4 tie- lines in the system. Modal extraction from the dynamic response using Prony analysis shows that latency has a significant impact on the estimates.

AB - This paper introduces a framework to model two factors: (a) dynamic communication latency and (b) the phasor data concentrator (PDC) for wide area monitoring and control (WAMC) applications. A transport delay model is introduced to simulate continuous variations in latencies and a time synchronization algorithm is represented to mimic the effect of PDCs. The models allow the analysis of latency build-up and data aggregation that occurs at the PDC. The proposed models are used to assess the impact of these factors for a WAMC application, namely power oscillation monitoring. Numerical simulations are conducted on the IEEE 39 bus, 10 machine system assuming a PMU at each of the generator buses and across 4 tie- lines in the system. Modal extraction from the dynamic response using Prony analysis shows that latency has a significant impact on the estimates.

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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Cui Y, Kavasseri RG, Chaudhuri NR. Modeling and simulation of dynamic communication latency and data aggregation for wide- Area applications. In 2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 07480225. (2016 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2016 - Held as Part of CPS Week, Proceedings). https://doi.org/10.1109/MSCPES.2016.7480225