Islanding detection in a distribution system: A pattern assessment based approach using Concordia analysis

Soham Dutta; Shailesh Verma; Pradip Kumar Sadhu; Maddikara Jaya Bharata Reddy; Dusmanta Kumar Mohanta

doi:10.1109/ISAP48318.2019.9065936

Islanding detection in a distribution system: A pattern assessment based approach using Concordia analysis

Soham Dutta
, Shailesh Verma
, Pradip Kumar Sadhu
, Maddikara Jaya Bharata Reddy
, Dusmanta Kumar Mohanta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Distributed generation (DG) has acquired lots of importance in power industry in recent times. Integration of DGs helps in improving power quality, meeting high demand and maintaining smooth power grid operation. However, incorporation of DGs create complexity in power system protection schemes, such as unintentional islanding. Unintentional islanding has serious consequences on the serviceability and protection of the grid. The proposed methodology is based on voltage measurement directly from a micro-phasor measurement unit (μPMU) and performing Concordia analysis on these signals. Through the technique, it is assessed whether a disturbance occurred at the point of common coupling (PCC) is due to fault or an islanding operation. Various MATLAB simulations are performed using the proposed algorithm to justify its efficiency. Such events are performed on a doubly-fed induction generator (DFIG) based micro-grid.

Original language	English
Title of host publication	2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728131924
DOIs	https://doi.org/10.1109/ISAP48318.2019.9065936
Publication status	Published - 12-2019
Event	20th International Conference on Intelligent System Application to Power Systems, ISAP 2019 - New Delhi, India Duration: 10-12-2019 → 14-12-2019

Publication series

Name	2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019

Conference

Conference	20th International Conference on Intelligent System Application to Power Systems, ISAP 2019
Country/Territory	India
City	New Delhi
Period	10-12-19 → 14-12-19

UN SDGs

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

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

Access to Document

10.1109/ISAP48318.2019.9065936

Cite this

Dutta, S., Verma, S., Sadhu, P. K., Reddy, M. J. B., & Mohanta, D. K. (2019). Islanding detection in a distribution system: A pattern assessment based approach using Concordia analysis. In 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019 Article 9065936 (2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISAP48318.2019.9065936

Dutta, Soham ; Verma, Shailesh ; Sadhu, Pradip Kumar et al. / Islanding detection in a distribution system : A pattern assessment based approach using Concordia analysis. 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019).

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title = "Islanding detection in a distribution system: A pattern assessment based approach using Concordia analysis",

abstract = "Distributed generation (DG) has acquired lots of importance in power industry in recent times. Integration of DGs helps in improving power quality, meeting high demand and maintaining smooth power grid operation. However, incorporation of DGs create complexity in power system protection schemes, such as unintentional islanding. Unintentional islanding has serious consequences on the serviceability and protection of the grid. The proposed methodology is based on voltage measurement directly from a micro-phasor measurement unit (μPMU) and performing Concordia analysis on these signals. Through the technique, it is assessed whether a disturbance occurred at the point of common coupling (PCC) is due to fault or an islanding operation. Various MATLAB simulations are performed using the proposed algorithm to justify its efficiency. Such events are performed on a doubly-fed induction generator (DFIG) based micro-grid.",

author = "Soham Dutta and Shailesh Verma and Sadhu, \{Pradip Kumar\} and Reddy, \{Maddikara Jaya Bharata\} and Mohanta, \{Dusmanta Kumar\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019 ; Conference date: 10-12-2019 Through 14-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ISAP48318.2019.9065936",

language = "English",

series = "2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019",

address = "United States",

}

Dutta, S, Verma, S, Sadhu, PK, Reddy, MJB & Mohanta, DK 2019, Islanding detection in a distribution system: A pattern assessment based approach using Concordia analysis. in 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019., 9065936, 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019, Institute of Electrical and Electronics Engineers Inc., 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019, New Delhi, India, 10-12-19. https://doi.org/10.1109/ISAP48318.2019.9065936

Islanding detection in a distribution system: A pattern assessment based approach using Concordia analysis. / Dutta, Soham; Verma, Shailesh; Sadhu, Pradip Kumar et al.
2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9065936 (2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Islanding detection in a distribution system

T2 - 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019

AU - Dutta, Soham

AU - Verma, Shailesh

AU - Sadhu, Pradip Kumar

AU - Reddy, Maddikara Jaya Bharata

AU - Mohanta, Dusmanta Kumar

PY - 2019/12

Y1 - 2019/12

N2 - Distributed generation (DG) has acquired lots of importance in power industry in recent times. Integration of DGs helps in improving power quality, meeting high demand and maintaining smooth power grid operation. However, incorporation of DGs create complexity in power system protection schemes, such as unintentional islanding. Unintentional islanding has serious consequences on the serviceability and protection of the grid. The proposed methodology is based on voltage measurement directly from a micro-phasor measurement unit (μPMU) and performing Concordia analysis on these signals. Through the technique, it is assessed whether a disturbance occurred at the point of common coupling (PCC) is due to fault or an islanding operation. Various MATLAB simulations are performed using the proposed algorithm to justify its efficiency. Such events are performed on a doubly-fed induction generator (DFIG) based micro-grid.

AB - Distributed generation (DG) has acquired lots of importance in power industry in recent times. Integration of DGs helps in improving power quality, meeting high demand and maintaining smooth power grid operation. However, incorporation of DGs create complexity in power system protection schemes, such as unintentional islanding. Unintentional islanding has serious consequences on the serviceability and protection of the grid. The proposed methodology is based on voltage measurement directly from a micro-phasor measurement unit (μPMU) and performing Concordia analysis on these signals. Through the technique, it is assessed whether a disturbance occurred at the point of common coupling (PCC) is due to fault or an islanding operation. Various MATLAB simulations are performed using the proposed algorithm to justify its efficiency. Such events are performed on a doubly-fed induction generator (DFIG) based micro-grid.

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UR - https://www.scopus.com/pages/publications/85084298507#tab=citedBy

U2 - 10.1109/ISAP48318.2019.9065936

DO - 10.1109/ISAP48318.2019.9065936

M3 - Conference contribution

AN - SCOPUS:85084298507

T3 - 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019

BT - 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 10 December 2019 through 14 December 2019

ER -

Dutta S, Verma S, Sadhu PK, Reddy MJB, Mohanta DK. Islanding detection in a distribution system: A pattern assessment based approach using Concordia analysis. In 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9065936. (2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019). doi: 10.1109/ISAP48318.2019.9065936

Islanding detection in a distribution system: A pattern assessment based approach using Concordia analysis

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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