Rapid Assessment of Distribution Systems Resilience Based on Analytical Method

Zhengkun Xin; Wang Luo; Gengfeng Li; Qiwei Peng; Zhaohong Bie; Xiaolong Hao; Wei Zhang; Zhichao Wu

doi:10.1109/ICPSAsia58343.2023.10294889

Rapid Assessment of Distribution Systems Resilience Based on Analytical Method

Zhengkun Xin
, Wang Luo
, Gengfeng Li
, Qiwei Peng
, Zhaohong Bie
, Xiaolong Hao
, Wei Zhang
, Zhichao Wu

School of Electrical Engineering

Xi'an Jiaotong University
State Grid Electric Power Research Institute Co., Ltd.

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

1 Scopus citations

Abstract

In recent years, extreme natural disasters have highlighted the inadequacy of traditional reliability requirements for distribution systems in facing low-probability, high-impact, large-scale failures. To address this issue, this paper presents a rapid resilience assessment method based on analytical approach for distribution systems. Commencing with the distribution system topology, this paper introduces the cell model to reduce the analysis complexity. Three kinds of indicators are utilized to describe the distribution system resilience. Using power supply paths to analyze cell response to extreme disasters at different stages, this paper obtains the analytical expressions of the assessment indicators that can be computerized. Numerical tests demonstrate the feasibility of the proposed assessment method and provide suggestions for enhancing distribution system resilience.

Original language	English
Title of host publication	2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1966-1972
Number of pages	7
ISBN (Electronic)	9798350339345
DOIs	https://doi.org/10.1109/ICPSAsia58343.2023.10294889
State	Published - 2023
Event	2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023 - Chongqing, China Duration: 7 Jul 2023 → 9 Jul 2023

Publication series

Name	2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023

Conference

Conference	2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023
Country/Territory	China
City	Chongqing
Period	7/07/23 → 9/07/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

analytical method
distribution system
resilience assessment

Access to Document

10.1109/ICPSAsia58343.2023.10294889

Cite this

Xin, Z., Luo, W., Li, G., Peng, Q., Bie, Z., Hao, X., Zhang, W., & Wu, Z. (2023). Rapid Assessment of Distribution Systems Resilience Based on Analytical Method. In 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023 (pp. 1966-1972). (2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPSAsia58343.2023.10294889

@inproceedings{491f2feb49c744ad8ca1fed1d5490737,

title = "Rapid Assessment of Distribution Systems Resilience Based on Analytical Method",

abstract = "In recent years, extreme natural disasters have highlighted the inadequacy of traditional reliability requirements for distribution systems in facing low-probability, high-impact, large-scale failures. To address this issue, this paper presents a rapid resilience assessment method based on analytical approach for distribution systems. Commencing with the distribution system topology, this paper introduces the cell model to reduce the analysis complexity. Three kinds of indicators are utilized to describe the distribution system resilience. Using power supply paths to analyze cell response to extreme disasters at different stages, this paper obtains the analytical expressions of the assessment indicators that can be computerized. Numerical tests demonstrate the feasibility of the proposed assessment method and provide suggestions for enhancing distribution system resilience.",

keywords = "analytical method, distribution system, resilience assessment",

author = "Zhengkun Xin and Wang Luo and Gengfeng Li and Qiwei Peng and Zhaohong Bie and Xiaolong Hao and Wei Zhang and Zhichao Wu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023 ; Conference date: 07-07-2023 Through 09-07-2023",

year = "2023",

doi = "10.1109/ICPSAsia58343.2023.10294889",

language = "英语",

series = "2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023",

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

pages = "1966--1972",

booktitle = "2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023",

}

Xin, Z, Luo, W, Li, G, Peng, Q, Bie, Z, Hao, X, Zhang, W & Wu, Z 2023, Rapid Assessment of Distribution Systems Resilience Based on Analytical Method. in 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023. 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1966-1972, 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023, Chongqing, China, 7/07/23. https://doi.org/10.1109/ICPSAsia58343.2023.10294889

Rapid Assessment of Distribution Systems Resilience Based on Analytical Method. / Xin, Zhengkun; Luo, Wang; Li, Gengfeng et al.
2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1966-1972 (2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023).

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

TY - GEN

T1 - Rapid Assessment of Distribution Systems Resilience Based on Analytical Method

AU - Xin, Zhengkun

AU - Luo, Wang

AU - Li, Gengfeng

AU - Peng, Qiwei

AU - Bie, Zhaohong

AU - Hao, Xiaolong

AU - Zhang, Wei

AU - Wu, Zhichao

PY - 2023

Y1 - 2023

N2 - In recent years, extreme natural disasters have highlighted the inadequacy of traditional reliability requirements for distribution systems in facing low-probability, high-impact, large-scale failures. To address this issue, this paper presents a rapid resilience assessment method based on analytical approach for distribution systems. Commencing with the distribution system topology, this paper introduces the cell model to reduce the analysis complexity. Three kinds of indicators are utilized to describe the distribution system resilience. Using power supply paths to analyze cell response to extreme disasters at different stages, this paper obtains the analytical expressions of the assessment indicators that can be computerized. Numerical tests demonstrate the feasibility of the proposed assessment method and provide suggestions for enhancing distribution system resilience.

AB - In recent years, extreme natural disasters have highlighted the inadequacy of traditional reliability requirements for distribution systems in facing low-probability, high-impact, large-scale failures. To address this issue, this paper presents a rapid resilience assessment method based on analytical approach for distribution systems. Commencing with the distribution system topology, this paper introduces the cell model to reduce the analysis complexity. Three kinds of indicators are utilized to describe the distribution system resilience. Using power supply paths to analyze cell response to extreme disasters at different stages, this paper obtains the analytical expressions of the assessment indicators that can be computerized. Numerical tests demonstrate the feasibility of the proposed assessment method and provide suggestions for enhancing distribution system resilience.

KW - analytical method

KW - distribution system

KW - resilience assessment

UR - https://www.scopus.com/pages/publications/85177854463

U2 - 10.1109/ICPSAsia58343.2023.10294889

DO - 10.1109/ICPSAsia58343.2023.10294889

M3 - 会议稿件

AN - SCOPUS:85177854463

T3 - 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023

SP - 1966

EP - 1972

BT - 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023

Y2 - 7 July 2023 through 9 July 2023

ER -

Xin Z, Luo W, Li G, Peng Q, Bie Z, Hao X et al. Rapid Assessment of Distribution Systems Resilience Based on Analytical Method. In 2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1966-1972. (2023 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2023). doi: 10.1109/ICPSAsia58343.2023.10294889

Rapid Assessment of Distribution Systems Resilience Based on Analytical Method

Abstract

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UN SDGs

Keywords

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