Power System Resilience Assessment Considering of Integrated Natural Gas System

Power system and natural gas (NG) system are two critical infrastructures (CI) that modern society depends on. The power system designed with conventional reliability criterion can neither effectively anticipate nor respond to high impact, low probability (HILP) events such as earthquake. At the sam...

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Main Authors: Zhang, Huajun, Zhao, Tianyang, Wang, Peng, Cheung, Sai Hung, Yao, Shuhan
Other Authors: School of Civil and Environmental Engineering
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10356/85078
http://hdl.handle.net/10220/43874
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-850782021-01-13T07:15:14Z Power System Resilience Assessment Considering of Integrated Natural Gas System Zhang, Huajun Zhao, Tianyang Wang, Peng Cheung, Sai Hung Yao, Shuhan School of Civil and Environmental Engineering School of Electrical and Electronic Engineering Interdisciplinary Graduate School (IGS) International Conference on Resilience of Transmission and Distribution Networks (RTDN 2017) Energy Research Institute @ NTU (ERI@N) Critical infrastructure Interdependence Power system and natural gas (NG) system are two critical infrastructures (CI) that modern society depends on. The power system designed with conventional reliability criterion can neither effectively anticipate nor respond to high impact, low probability (HILP) events such as earthquake. At the same time, increasingly utilization of NG for electricity generation leads to rising intersystem coupling of power system and NG system. The interdependence imposes power system potential risk, such as failure propagation trigged by gas network contingency. Taken together with power system intrinsic complexity, these factors could operate to amplify disruptive effects. In this context, this paper aims to develop an effective model and approach to assess power system resilience considering associated fuel supply system based on two performance metrics: Expected Demand Not Supplied (EDNS) and Probability of Load Curtailments (PLC). It develops models of NG system, power system and their interdependence for quantitative measurement purpose, and generates an integral simulation frame using Non-sequential Monte Carlo simulation. Finally, it conducts case studies on modified Belgian gas transmission system and IEEE-24 reliability test system to justify the validity of the proposed approach. NRF (Natl Research Foundation, S’pore) Accepted version 2017-10-13T04:10:34Z 2019-12-06T15:56:36Z 2017-10-13T04:10:34Z 2019-12-06T15:56:36Z 2017 Conference Paper Zhang, H., Zhao, T., Wang, P., Cheung, S. H., & Yao, S. (2017). Power System Resilience Assessment Considering of Integrated Natural Gas System. International Conference on Resilience of Transmission and Distribution Networks (RTDN 2017). https://hdl.handle.net/10356/85078 http://hdl.handle.net/10220/43874 en © 2017 The author(s). This is the author created version of a work that has been peer reviewed and accepted for presentation in International Conference on Resilience of Transmission and Distribution Networks, by The Institution of Engineering and Technology. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. 6 p application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Critical infrastructure
Interdependence
spellingShingle Critical infrastructure
Interdependence
Zhang, Huajun
Zhao, Tianyang
Wang, Peng
Cheung, Sai Hung
Yao, Shuhan
Power System Resilience Assessment Considering of Integrated Natural Gas System
description Power system and natural gas (NG) system are two critical infrastructures (CI) that modern society depends on. The power system designed with conventional reliability criterion can neither effectively anticipate nor respond to high impact, low probability (HILP) events such as earthquake. At the same time, increasingly utilization of NG for electricity generation leads to rising intersystem coupling of power system and NG system. The interdependence imposes power system potential risk, such as failure propagation trigged by gas network contingency. Taken together with power system intrinsic complexity, these factors could operate to amplify disruptive effects. In this context, this paper aims to develop an effective model and approach to assess power system resilience considering associated fuel supply system based on two performance metrics: Expected Demand Not Supplied (EDNS) and Probability of Load Curtailments (PLC). It develops models of NG system, power system and their interdependence for quantitative measurement purpose, and generates an integral simulation frame using Non-sequential Monte Carlo simulation. Finally, it conducts case studies on modified Belgian gas transmission system and IEEE-24 reliability test system to justify the validity of the proposed approach.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Zhang, Huajun
Zhao, Tianyang
Wang, Peng
Cheung, Sai Hung
Yao, Shuhan
format Conference or Workshop Item
author Zhang, Huajun
Zhao, Tianyang
Wang, Peng
Cheung, Sai Hung
Yao, Shuhan
author_sort Zhang, Huajun
title Power System Resilience Assessment Considering of Integrated Natural Gas System
title_short Power System Resilience Assessment Considering of Integrated Natural Gas System
title_full Power System Resilience Assessment Considering of Integrated Natural Gas System
title_fullStr Power System Resilience Assessment Considering of Integrated Natural Gas System
title_full_unstemmed Power System Resilience Assessment Considering of Integrated Natural Gas System
title_sort power system resilience assessment considering of integrated natural gas system
publishDate 2017
url https://hdl.handle.net/10356/85078
http://hdl.handle.net/10220/43874
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