Resilience-Based Optimal Placement Method for Integrated Electricity and Gas Energy System

Huili Tian; Gechao Huang; Ye Chen; Gengfeng Li; Xin Li; Zhaohong Bie

doi:10.1109/HVDC50696.2020.9292869

Resilience-Based Optimal Placement Method for Integrated Electricity and Gas Energy System

Huili Tian
, Gechao Huang
, Ye Chen
, Gengfeng Li
, Xin Li
, Zhaohong Bie

China Southern Power Grid
Xi'an Jiaotong University

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

3 Scopus citations

Abstract

Integrated electricity and gas energy systems are typical integrated energy systems (IES). In order to improve the resilience of IES in extreme events, an optimal placement method of gas turbines and gas storage systems in integrated electricity and gas energy systems considering natural disasters and man-made attacks is proposed in this paper. After natural disaster scenarios are generated, a stochastic defender-attacker-defender (DAD) model is built. Improved nested column constraint generation algorithm (NCCG) and progressive hedging algorithm (PHA) are adopted to solve the model. With the minimax-regret criterion, optimal placement scheme is determined. Finally, the effectiveness of the presented method is demonstrated.

Original language	English
Title of host publication	2020 4th International Conference on HVDC, HVDC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1188-1194
Number of pages	7
ISBN (Electronic)	9781728175935
DOIs	https://doi.org/10.1109/HVDC50696.2020.9292869
State	Published - 6 Nov 2020
Externally published	Yes
Event	4th International Conference on HVDC, HVDC 2020 - Xi'an, China Duration: 6 Nov 2020 → 9 Nov 2020

Publication series

Name	2020 4th International Conference on HVDC, HVDC 2020

Conference

Conference	4th International Conference on HVDC, HVDC 2020
Country/Territory	China
City	Xi'an
Period	6/11/20 → 9/11/20

Keywords

defender-attacker-defender (DAD)
integrated energy system
nested column constraint generation (NCCG)
optimal placement
resilience

Access to Document

10.1109/HVDC50696.2020.9292869

Cite this

Tian, H., Huang, G., Chen, Y., Li, G., Li, X., & Bie, Z. (2020). Resilience-Based Optimal Placement Method for Integrated Electricity and Gas Energy System. In 2020 4th International Conference on HVDC, HVDC 2020 (pp. 1188-1194). Article 9292869 (2020 4th International Conference on HVDC, HVDC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HVDC50696.2020.9292869

@inproceedings{d2c17af980ae4f1da850c9f2aadc9c49,

title = "Resilience-Based Optimal Placement Method for Integrated Electricity and Gas Energy System",

abstract = "Integrated electricity and gas energy systems are typical integrated energy systems (IES). In order to improve the resilience of IES in extreme events, an optimal placement method of gas turbines and gas storage systems in integrated electricity and gas energy systems considering natural disasters and man-made attacks is proposed in this paper. After natural disaster scenarios are generated, a stochastic defender-attacker-defender (DAD) model is built. Improved nested column constraint generation algorithm (NCCG) and progressive hedging algorithm (PHA) are adopted to solve the model. With the minimax-regret criterion, optimal placement scheme is determined. Finally, the effectiveness of the presented method is demonstrated.",

keywords = "defender-attacker-defender (DAD), integrated energy system, nested column constraint generation (NCCG), optimal placement, resilience",

author = "Huili Tian and Gechao Huang and Ye Chen and Gengfeng Li and Xin Li and Zhaohong Bie",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 4th International Conference on HVDC, HVDC 2020 ; Conference date: 06-11-2020 Through 09-11-2020",

year = "2020",

month = nov,

day = "6",

doi = "10.1109/HVDC50696.2020.9292869",

language = "英语",

series = "2020 4th International Conference on HVDC, HVDC 2020",

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

pages = "1188--1194",

booktitle = "2020 4th International Conference on HVDC, HVDC 2020",

}

Tian, H, Huang, G, Chen, Y, Li, G, Li, X & Bie, Z 2020, Resilience-Based Optimal Placement Method for Integrated Electricity and Gas Energy System. in 2020 4th International Conference on HVDC, HVDC 2020., 9292869, 2020 4th International Conference on HVDC, HVDC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1188-1194, 4th International Conference on HVDC, HVDC 2020, Xi'an, China, 6/11/20. https://doi.org/10.1109/HVDC50696.2020.9292869

Resilience-Based Optimal Placement Method for Integrated Electricity and Gas Energy System. / Tian, Huili; Huang, Gechao; Chen, Ye et al.
2020 4th International Conference on HVDC, HVDC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1188-1194 9292869 (2020 4th International Conference on HVDC, HVDC 2020).

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

TY - GEN

T1 - Resilience-Based Optimal Placement Method for Integrated Electricity and Gas Energy System

AU - Tian, Huili

AU - Huang, Gechao

AU - Chen, Ye

AU - Li, Gengfeng

AU - Li, Xin

AU - Bie, Zhaohong

PY - 2020/11/6

Y1 - 2020/11/6

N2 - Integrated electricity and gas energy systems are typical integrated energy systems (IES). In order to improve the resilience of IES in extreme events, an optimal placement method of gas turbines and gas storage systems in integrated electricity and gas energy systems considering natural disasters and man-made attacks is proposed in this paper. After natural disaster scenarios are generated, a stochastic defender-attacker-defender (DAD) model is built. Improved nested column constraint generation algorithm (NCCG) and progressive hedging algorithm (PHA) are adopted to solve the model. With the minimax-regret criterion, optimal placement scheme is determined. Finally, the effectiveness of the presented method is demonstrated.

AB - Integrated electricity and gas energy systems are typical integrated energy systems (IES). In order to improve the resilience of IES in extreme events, an optimal placement method of gas turbines and gas storage systems in integrated electricity and gas energy systems considering natural disasters and man-made attacks is proposed in this paper. After natural disaster scenarios are generated, a stochastic defender-attacker-defender (DAD) model is built. Improved nested column constraint generation algorithm (NCCG) and progressive hedging algorithm (PHA) are adopted to solve the model. With the minimax-regret criterion, optimal placement scheme is determined. Finally, the effectiveness of the presented method is demonstrated.

KW - defender-attacker-defender (DAD)

KW - integrated energy system

KW - nested column constraint generation (NCCG)

KW - optimal placement

KW - resilience

UR - https://www.scopus.com/pages/publications/85099483798

U2 - 10.1109/HVDC50696.2020.9292869

DO - 10.1109/HVDC50696.2020.9292869

M3 - 会议稿件

AN - SCOPUS:85099483798

T3 - 2020 4th International Conference on HVDC, HVDC 2020

SP - 1188

EP - 1194

BT - 2020 4th International Conference on HVDC, HVDC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on HVDC, HVDC 2020

Y2 - 6 November 2020 through 9 November 2020

ER -

Resilience-Based Optimal Placement Method for Integrated Electricity and Gas Energy System

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