Nondetection Zone Analytics for Unintentional Islanding in a Distribution Grid Integrated with Distributed Energy Resources

Yan Li; Peng Zhang; Wenyuan Li; Joseph N. Debs; David A. Ferrante; Donald J. Kane; Samuel N. Woolard; Roderick Kalbfleisch; Kenneth B. Bowes; Andrew J. Kasznay

doi:10.1109/TSTE.2018.2830748

Nondetection Zone Analytics for Unintentional Islanding in a Distribution Grid Integrated with Distributed Energy Resources

Yan Li, Peng Zhang, Wenyuan Li, Joseph N. Debs, David A. Ferrante, Donald J. Kane, Samuel N. Woolard, Roderick Kalbfleisch, Kenneth B. Bowes, Andrew J. Kasznay

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

Given the progressively deeper integration of distributed energy resources (DERs), evaluating the potential unintentional islanding hazards in distribution networks becomes increasingly important for distribution system planning and operations. In this paper, a rigorous theoretical analysis is used to devise a DER-driven nondetection zone (D²NDZ) method, which is then implemented through a data-driven learning-based approach. Test results indicate that D²NDZ can quickly and effectively estimate the nondetection zones for any given distribution feeders, while avoiding numerous and time-consuming electromagnetic transient simulations. D²NDZ software has been deployed in Eversource Energy, a major power utility company in the northeastern U.S. In practice, D²NDZ reduces utilities engineers' case study time from months to just a few minutes.

Original language	English (US)
Article number	8350338
Pages (from-to)	214-225
Number of pages	12
Journal	IEEE Transactions on Sustainable Energy
Volume	10
Issue number	1
DOIs	https://doi.org/10.1109/TSTE.2018.2830748
State	Published - Jan 2019

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment

UN SDGs

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

Access to Document

10.1109/TSTE.2018.2830748

Cite this

Li, Y., Zhang, P., Li, W., Debs, J. N., Ferrante, D. A., Kane, D. J., Woolard, S. N., Kalbfleisch, R., Bowes, K. B., & Kasznay, A. J. (2019). Nondetection Zone Analytics for Unintentional Islanding in a Distribution Grid Integrated with Distributed Energy Resources. IEEE Transactions on Sustainable Energy, 10(1), 214-225. Article 8350338. https://doi.org/10.1109/TSTE.2018.2830748

@article{c05aac645073422e98d680ada465ee22,

title = "Nondetection Zone Analytics for Unintentional Islanding in a Distribution Grid Integrated with Distributed Energy Resources",

abstract = "Given the progressively deeper integration of distributed energy resources (DERs), evaluating the potential unintentional islanding hazards in distribution networks becomes increasingly important for distribution system planning and operations. In this paper, a rigorous theoretical analysis is used to devise a DER-driven nondetection zone (D2NDZ) method, which is then implemented through a data-driven learning-based approach. Test results indicate that D2NDZ can quickly and effectively estimate the nondetection zones for any given distribution feeders, while avoiding numerous and time-consuming electromagnetic transient simulations. D2NDZ software has been deployed in Eversource Energy, a major power utility company in the northeastern U.S. In practice, D2NDZ reduces utilities engineers' case study time from months to just a few minutes.",

author = "Yan Li and Peng Zhang and Wenyuan Li and Debs, {Joseph N.} and Ferrante, {David A.} and Kane, {Donald J.} and Woolard, {Samuel N.} and Roderick Kalbfleisch and Bowes, {Kenneth B.} and Kasznay, {Andrew J.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.",

year = "2019",

month = jan,

doi = "10.1109/TSTE.2018.2830748",

language = "English (US)",

volume = "10",

pages = "214--225",

journal = "IEEE Transactions on Sustainable Energy",

issn = "1949-3029",

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

number = "1",

}

TY - JOUR

T1 - Nondetection Zone Analytics for Unintentional Islanding in a Distribution Grid Integrated with Distributed Energy Resources

AU - Li, Yan

AU - Zhang, Peng

AU - Li, Wenyuan

AU - Debs, Joseph N.

AU - Ferrante, David A.

AU - Kane, Donald J.

AU - Woolard, Samuel N.

AU - Kalbfleisch, Roderick

AU - Bowes, Kenneth B.

AU - Kasznay, Andrew J.

PY - 2019/1

Y1 - 2019/1

N2 - Given the progressively deeper integration of distributed energy resources (DERs), evaluating the potential unintentional islanding hazards in distribution networks becomes increasingly important for distribution system planning and operations. In this paper, a rigorous theoretical analysis is used to devise a DER-driven nondetection zone (D2NDZ) method, which is then implemented through a data-driven learning-based approach. Test results indicate that D2NDZ can quickly and effectively estimate the nondetection zones for any given distribution feeders, while avoiding numerous and time-consuming electromagnetic transient simulations. D2NDZ software has been deployed in Eversource Energy, a major power utility company in the northeastern U.S. In practice, D2NDZ reduces utilities engineers' case study time from months to just a few minutes.

AB - Given the progressively deeper integration of distributed energy resources (DERs), evaluating the potential unintentional islanding hazards in distribution networks becomes increasingly important for distribution system planning and operations. In this paper, a rigorous theoretical analysis is used to devise a DER-driven nondetection zone (D2NDZ) method, which is then implemented through a data-driven learning-based approach. Test results indicate that D2NDZ can quickly and effectively estimate the nondetection zones for any given distribution feeders, while avoiding numerous and time-consuming electromagnetic transient simulations. D2NDZ software has been deployed in Eversource Energy, a major power utility company in the northeastern U.S. In practice, D2NDZ reduces utilities engineers' case study time from months to just a few minutes.

UR - http://www.scopus.com/inward/record.url?scp=85046346754&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85046346754&partnerID=8YFLogxK

U2 - 10.1109/TSTE.2018.2830748

DO - 10.1109/TSTE.2018.2830748

M3 - Article

AN - SCOPUS:85046346754

SN - 1949-3029

VL - 10

SP - 214

EP - 225

JO - IEEE Transactions on Sustainable Energy

JF - IEEE Transactions on Sustainable Energy

IS - 1

M1 - 8350338

ER -

Nondetection Zone Analytics for Unintentional Islanding in a Distribution Grid Integrated with Distributed Energy Resources

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this