Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index

Jiaxin Wen; Siqi Bus

doi:10.1109/CIEEC.2018.8745778

Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index

Jiaxin Wen
, Siqi Bus

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

The injection of renewable energy brings a big uncertainty to the modern power system, which would have a detrimental influence on the frequency stability. The fluctuating frequency from a specific wind farm is difficult to be represented by system average frequency due to uneven inertia distribution in the system. In order to deal with this issue, the coherency identification is applied to separate the system into a few areas and then further research is conducted. In terms of frequency stability analysis, two factors are often concerned: the rate of change of frequency (RoCoF) and frequency nadir/vertex (FN/FV). Therefore, this paper proposes a novel assessment index, i.e. Max Spatial Distribution Ratio of System Frequency Response (MaDSR), suitable for these two factors to evaluate the effects of the coherent results based on a new concept, Area Frequency Response Center (AFRC). To test the effectiveness of the index, slow coherency identification method is selected to divide a modified IEEE 16machine 68 bus with additional installation of wind farms.

Original language	English
Title of host publication	Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	132-137
Number of pages	6
ISBN (Electronic)	9781538653913
DOIs	https://doi.org/10.1109/CIEEC.2018.8745778
Publication status	Published - Nov 2018
Event	2nd IEEE International Electrical and Energy Conference, CIEEC 2018 - Beijing, China Duration: 4 Nov 2018 → 6 Nov 2018

Publication series

Name	Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018

Conference

Conference	2nd IEEE International Electrical and Energy Conference, CIEEC 2018
Country/Territory	China
City	Beijing
Period	4/11/18 → 6/11/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Area Frequency Response Center (AFRC)
frequency nadir/vertex (FN/FV)
Max System Frequency Deviation Rate (MSFDR)
rate of change of frequency (RoCoF)

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Energy Engineering and Power Technology

More information

10.1109/CIEEC.2018.8745778

Cite this

Wen, J., & Bus, S. (2018). Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index. In Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018 (pp. 132-137). Article 8745778 (Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIEEC.2018.8745778

Wen, Jiaxin ; Bus, Siqi. / Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index. Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 132-137 (Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018).

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title = "Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index",

abstract = "The injection of renewable energy brings a big uncertainty to the modern power system, which would have a detrimental influence on the frequency stability. The fluctuating frequency from a specific wind farm is difficult to be represented by system average frequency due to uneven inertia distribution in the system. In order to deal with this issue, the coherency identification is applied to separate the system into a few areas and then further research is conducted. In terms of frequency stability analysis, two factors are often concerned: the rate of change of frequency (RoCoF) and frequency nadir/vertex (FN/FV). Therefore, this paper proposes a novel assessment index, i.e. Max Spatial Distribution Ratio of System Frequency Response (MaDSR), suitable for these two factors to evaluate the effects of the coherent results based on a new concept, Area Frequency Response Center (AFRC). To test the effectiveness of the index, slow coherency identification method is selected to divide a modified IEEE 16machine 68 bus with additional installation of wind farms.",

keywords = "Area Frequency Response Center (AFRC), frequency nadir/vertex (FN/FV), Max System Frequency Deviation Rate (MSFDR), rate of change of frequency (RoCoF)",

author = "Jiaxin Wen and Siqi Bus",

year = "2018",

month = nov,

doi = "10.1109/CIEEC.2018.8745778",

language = "English",

series = "Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018",

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

pages = "132--137",

booktitle = "Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018",

note = "2nd IEEE International Electrical and Energy Conference, CIEEC 2018 ; Conference date: 04-11-2018 Through 06-11-2018",

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Wen, J & Bus, S 2018, Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index. in Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018., 8745778, Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 132-137, 2nd IEEE International Electrical and Energy Conference, CIEEC 2018, Beijing, China, 4/11/18. https://doi.org/10.1109/CIEEC.2018.8745778

Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index. / Wen, Jiaxin; Bus, Siqi.
Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 132-137 8745778 (Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Wen, Jiaxin

AU - Bus, Siqi

PY - 2018/11

Y1 - 2018/11

N2 - The injection of renewable energy brings a big uncertainty to the modern power system, which would have a detrimental influence on the frequency stability. The fluctuating frequency from a specific wind farm is difficult to be represented by system average frequency due to uneven inertia distribution in the system. In order to deal with this issue, the coherency identification is applied to separate the system into a few areas and then further research is conducted. In terms of frequency stability analysis, two factors are often concerned: the rate of change of frequency (RoCoF) and frequency nadir/vertex (FN/FV). Therefore, this paper proposes a novel assessment index, i.e. Max Spatial Distribution Ratio of System Frequency Response (MaDSR), suitable for these two factors to evaluate the effects of the coherent results based on a new concept, Area Frequency Response Center (AFRC). To test the effectiveness of the index, slow coherency identification method is selected to divide a modified IEEE 16machine 68 bus with additional installation of wind farms.

AB - The injection of renewable energy brings a big uncertainty to the modern power system, which would have a detrimental influence on the frequency stability. The fluctuating frequency from a specific wind farm is difficult to be represented by system average frequency due to uneven inertia distribution in the system. In order to deal with this issue, the coherency identification is applied to separate the system into a few areas and then further research is conducted. In terms of frequency stability analysis, two factors are often concerned: the rate of change of frequency (RoCoF) and frequency nadir/vertex (FN/FV). Therefore, this paper proposes a novel assessment index, i.e. Max Spatial Distribution Ratio of System Frequency Response (MaDSR), suitable for these two factors to evaluate the effects of the coherent results based on a new concept, Area Frequency Response Center (AFRC). To test the effectiveness of the index, slow coherency identification method is selected to divide a modified IEEE 16machine 68 bus with additional installation of wind farms.

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KW - frequency nadir/vertex (FN/FV)

KW - Max System Frequency Deviation Rate (MSFDR)

KW - rate of change of frequency (RoCoF)

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ER -

Wen J, Bus S. Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index. In Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 132-137. 8745778. (Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018). doi: 10.1109/CIEEC.2018.8745778

Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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