Testing and analysis of centralized and decentralized mode estimation architectures for active distribution network monitoring

Ravi Shankar Singh; Hossein Hooshyar; Luigi Vanfretti

doi:10.1109/PTC.2017.7981163

Testing and analysis of centralized and decentralized mode estimation architectures for active distribution network monitoring

Ravi Shankar Singh, Hossein Hooshyar, Luigi Vanfretti

Electrical Energy Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This paper presents the results of testing a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. By extending the author's previous work in [1], this paper shows that a decentralized architecture is effective in detecting local modes which are less observable in presence of other dominant modes when estimated in a centralized architecture. The tests in this paper were carried out that was coupled with actual PMUs, a Phasor Data Concentrator (PDC) and two types of mode estimation architectures. The is network comprised of a high voltage network connected to an Active Distribution Network (ADN) with Renewable Energy Resources (RES). In the decentralized architecture where each PMU was associated with its own processing unit running to compute mode estimates from the acquired time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with centralized architecture.

Original language	English
Title of host publication	2017 IEEE Manchester PowerTech, Powertech 2017
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	7
ISBN (Electronic)	9781509042371
DOIs	https://doi.org/10.1109/PTC.2017.7981163
Publication status	Published - 13 Jul 2017
Event	2017 IEEE PowerTech Manchester - University of Manchester, Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017 Conference number: 12 http://ieee-powertech.org/

Conference

Conference	2017 IEEE PowerTech Manchester
Abbreviated title	PowerTech 2017
Country/Territory	United Kingdom
City	Manchester
Period	18/06/17 → 22/06/17
Other	Towards and Beyond Sustainable Energy Systems
Internet address	http://ieee-powertech.org/

Funding

This work was supported in part by the FP7 IDE4L project funded by the European Commission, the STandUp for Energy Collaboration Initiative and by Statnett SF, the Norwegian TSO. Website: http://ide4l.eu/. Ravi Shankar Singh is supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 676042.

Keywords

Decentralized Mode Estimation
Mode-meter
Oscillations
Phasor Measurement Unit (PMU)
Power System Monitoring

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/PTC.2017.7981163

Cite this

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title = "Testing and analysis of centralized and decentralized mode estimation architectures for active distribution network monitoring",

abstract = "This paper presents the results of testing a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. By extending the author's previous work in [1], this paper shows that a decentralized architecture is effective in detecting local modes which are less observable in presence of other dominant modes when estimated in a centralized architecture. The tests in this paper were carried out that was coupled with actual PMUs, a Phasor Data Concentrator (PDC) and two types of mode estimation architectures. The is network comprised of a high voltage network connected to an Active Distribution Network (ADN) with Renewable Energy Resources (RES). In the decentralized architecture where each PMU was associated with its own processing unit running to compute mode estimates from the acquired time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with centralized architecture.",

keywords = "Decentralized Mode Estimation, Mode-meter, Oscillations, Phasor Measurement Unit (PMU), Power System Monitoring",

author = "Singh, \{Ravi Shankar\} and Hossein Hooshyar and Luigi Vanfretti",

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language = "English",

booktitle = "2017 IEEE Manchester PowerTech, Powertech 2017",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2017 IEEE PowerTech Manchester, PowerTech 2017 ; Conference date: 18-06-2017 Through 22-06-2017",

url = "http://ieee-powertech.org/",

}

Singh, RS, Hooshyar, H & Vanfretti, L 2017, Testing and analysis of centralized and decentralized mode estimation architectures for active distribution network monitoring. in 2017 IEEE Manchester PowerTech, Powertech 2017., 7981163, Institute of Electrical and Electronics Engineers, 2017 IEEE PowerTech Manchester, Manchester, United Kingdom, 18/06/17. https://doi.org/10.1109/PTC.2017.7981163

Testing and analysis of centralized and decentralized mode estimation architectures for active distribution network monitoring. / Singh, Ravi Shankar; Hooshyar, Hossein; Vanfretti, Luigi.
2017 IEEE Manchester PowerTech, Powertech 2017. Institute of Electrical and Electronics Engineers, 2017. 7981163.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2017/7/13

Y1 - 2017/7/13

N2 - This paper presents the results of testing a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. By extending the author's previous work in [1], this paper shows that a decentralized architecture is effective in detecting local modes which are less observable in presence of other dominant modes when estimated in a centralized architecture. The tests in this paper were carried out that was coupled with actual PMUs, a Phasor Data Concentrator (PDC) and two types of mode estimation architectures. The is network comprised of a high voltage network connected to an Active Distribution Network (ADN) with Renewable Energy Resources (RES). In the decentralized architecture where each PMU was associated with its own processing unit running to compute mode estimates from the acquired time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with centralized architecture.

AB - This paper presents the results of testing a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. By extending the author's previous work in [1], this paper shows that a decentralized architecture is effective in detecting local modes which are less observable in presence of other dominant modes when estimated in a centralized architecture. The tests in this paper were carried out that was coupled with actual PMUs, a Phasor Data Concentrator (PDC) and two types of mode estimation architectures. The is network comprised of a high voltage network connected to an Active Distribution Network (ADN) with Renewable Energy Resources (RES). In the decentralized architecture where each PMU was associated with its own processing unit running to compute mode estimates from the acquired time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with centralized architecture.

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KW - Oscillations

KW - Phasor Measurement Unit (PMU)

KW - Power System Monitoring

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Testing and analysis of centralized and decentralized mode estimation architectures for active distribution network monitoring

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Keywords

UN SDGs

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