Robust resilience enhancement strategy for gas‐electricity integrated energy system considering multiple reinforcement levels

Author:

Zhou Shichao1ORCID,Luo Shuhan2,Wang Lingling1ORCID,Jiang Chuanwen1,Xiong Zhan1,Gu Jiu1,Zhang Ke1

Affiliation:

1. The Key Laboratory of Control of Power Transmission and Conversion Ministry of Education The School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

2. Engineering Technology Center China Energy Digital Technology Group Co., Ltd Beijing China

Abstract

AbstractNatural disasters are extreme events with low probability but strong destructive ability, which have a serious impact on the power system. The gas‐electricity integrated energy system is more likely to be affected by natural disasters due to its complex multi‐energy coupling characteristic. In order to improve the resilience of the gas‐electricity integrated energy system under natural disasters, this paper proposes a three‐layer defence‐attack‐defence robust resilience improvement model with the objective of minimizing the load loss in the gas‐electricity integrated energy system. Firstly, in order to cope with various levels of disaster and improve the economy of line/pipeline reinforcement in the gas‐electricity integrated energy system, a multi‐level line/pipeline reinforcement model is proposed on the basis of load weight in the upper layer. Then, information entropy is introduced to represent the impact of natural disasters in the middle layer. Based on the operation constraints of the gas‐electricity integrated energy system, the optimal allocation of the mobile electricity storage and liquefied gas storage is established in the lower layer. The three‐layer resilience improvement model is solved by the nested column and constraint generation algorithm. Finally, the case study proves the feasibility of the model and the effectiveness of the solution method.

Publisher

Institution of Engineering and Technology (IET)

Reference30 articles.

1. Preliminary root cause analysis mid‐August 2020 heat storm.http://www.caiso.com/Documents/Preliminary‐Root‐Cause‐Analysis‐Rotating‐Outages‐August‐2020.pdf(2021). Accessed 4 Nov 2020

2. Magness B. Review of February 2021 extreme cold weather event: ERCOT presentation.https://www.ercot.com/files/docs/2021/03/03/Texas_Legislature_Hearings_2‐25‐2021.pdf(2021). Accessed 3 Mar 2021

3. Research on resilience of power systems under natural disasters—A review;Wang Y.Z.;IEEE Trans. Power Syst.,2016

4. Pre‐hurricane optimal placement model of repair teams to improve distribution network resilience;Masoud S.K.;Electr. Power Syst. Res.,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3