MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet

Chao Yan; Yuan Hu; Zhaohong Bie; Chunxiao Wang

doi:10.1109/EI2.2018.8582522

MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet

Chao Yan
, Yuan Hu
, Zhaohong Bie
, Chunxiao Wang

School of Electrical Engineering

Xi'an Jiaotong University

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

7 Scopus citations

Abstract

In this paper, a generalized combined power and natural gas network risk assessment model is proposed for quantifying its risk level considering dangerous factors such as generation outages, transmission line contingencies, natural gas pipeline contingencies, compressor failures and gas source and load fluctuation. This evaluation model statistics the specific electricity and gas load loss in reliance on a state-based non-sequential Monte Carlo method, it aims at minimizing the Cost of Lost Load (COLL) of the combined system based on the security-constrained steady-state analysis. Usually, the model is non-linear and non-convex, to overcome the problem's non-convexity, an increment based mix integral linear programing (IMILP) is employed to effectively and accurately solve the COLL minimization optimization model. Besides, a specific customized reliability indexes are developed to comprehensively assess the risk from cost, gas and electricity loss three dimensions. At last, the evaluation model is verified by a one combined 6-node electricity network and 14-node gas network test case. The results show that the proposed model can quantitatively assess the effect of those uncertainties on the combined system risk level.

Original language	English
Title of host publication	2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538685495
DOIs	https://doi.org/10.1109/EI2.2018.8582522
State	Published - 19 Dec 2018
Event	2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Beijing, China Duration: 20 Oct 2018 → 22 Oct 2018

Publication series

Name	2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings

Conference

Conference	2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018
Country/Territory	China
City	Beijing
Period	20/10/18 → 22/10/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Cost of Load Loss (COLL)
increment based mix-integral linear programing (IMILP)
power and natural gas combined network
risk assessment

Access to Document

10.1109/EI2.2018.8582522

Cite this

Yan, C., Hu, Y., Bie, Z., & Wang, C. (2018). MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet. In 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings Article 8582522 (2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI2.2018.8582522

Yan, Chao ; Hu, Yuan ; Bie, Zhaohong et al. / MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet. 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings).

@inproceedings{c8c8360c5a3340d8962a64afacc91857,

title = "MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet",

abstract = "In this paper, a generalized combined power and natural gas network risk assessment model is proposed for quantifying its risk level considering dangerous factors such as generation outages, transmission line contingencies, natural gas pipeline contingencies, compressor failures and gas source and load fluctuation. This evaluation model statistics the specific electricity and gas load loss in reliance on a state-based non-sequential Monte Carlo method, it aims at minimizing the Cost of Lost Load (COLL) of the combined system based on the security-constrained steady-state analysis. Usually, the model is non-linear and non-convex, to overcome the problem's non-convexity, an increment based mix integral linear programing (IMILP) is employed to effectively and accurately solve the COLL minimization optimization model. Besides, a specific customized reliability indexes are developed to comprehensively assess the risk from cost, gas and electricity loss three dimensions. At last, the evaluation model is verified by a one combined 6-node electricity network and 14-node gas network test case. The results show that the proposed model can quantitatively assess the effect of those uncertainties on the combined system risk level.",

keywords = "Cost of Load Loss (COLL), increment based mix-integral linear programing (IMILP), power and natural gas combined network, risk assessment",

author = "Chao Yan and Yuan Hu and Zhaohong Bie and Chunxiao Wang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 ; Conference date: 20-10-2018 Through 22-10-2018",

year = "2018",

month = dec,

day = "19",

doi = "10.1109/EI2.2018.8582522",

language = "英语",

series = "2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings",

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

booktitle = "2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings",

}

Yan, C, Hu, Y, Bie, Z & Wang, C 2018, MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet. in 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings., 8582522, 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018, Beijing, China, 20/10/18. https://doi.org/10.1109/EI2.2018.8582522

MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet. / Yan, Chao; Hu, Yuan; Bie, Zhaohong et al.
2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8582522 (2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings).

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

TY - GEN

T1 - MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet

AU - Yan, Chao

AU - Hu, Yuan

AU - Bie, Zhaohong

AU - Wang, Chunxiao

PY - 2018/12/19

Y1 - 2018/12/19

N2 - In this paper, a generalized combined power and natural gas network risk assessment model is proposed for quantifying its risk level considering dangerous factors such as generation outages, transmission line contingencies, natural gas pipeline contingencies, compressor failures and gas source and load fluctuation. This evaluation model statistics the specific electricity and gas load loss in reliance on a state-based non-sequential Monte Carlo method, it aims at minimizing the Cost of Lost Load (COLL) of the combined system based on the security-constrained steady-state analysis. Usually, the model is non-linear and non-convex, to overcome the problem's non-convexity, an increment based mix integral linear programing (IMILP) is employed to effectively and accurately solve the COLL minimization optimization model. Besides, a specific customized reliability indexes are developed to comprehensively assess the risk from cost, gas and electricity loss three dimensions. At last, the evaluation model is verified by a one combined 6-node electricity network and 14-node gas network test case. The results show that the proposed model can quantitatively assess the effect of those uncertainties on the combined system risk level.

AB - In this paper, a generalized combined power and natural gas network risk assessment model is proposed for quantifying its risk level considering dangerous factors such as generation outages, transmission line contingencies, natural gas pipeline contingencies, compressor failures and gas source and load fluctuation. This evaluation model statistics the specific electricity and gas load loss in reliance on a state-based non-sequential Monte Carlo method, it aims at minimizing the Cost of Lost Load (COLL) of the combined system based on the security-constrained steady-state analysis. Usually, the model is non-linear and non-convex, to overcome the problem's non-convexity, an increment based mix integral linear programing (IMILP) is employed to effectively and accurately solve the COLL minimization optimization model. Besides, a specific customized reliability indexes are developed to comprehensively assess the risk from cost, gas and electricity loss three dimensions. At last, the evaluation model is verified by a one combined 6-node electricity network and 14-node gas network test case. The results show that the proposed model can quantitatively assess the effect of those uncertainties on the combined system risk level.

KW - Cost of Load Loss (COLL)

KW - increment based mix-integral linear programing (IMILP)

KW - power and natural gas combined network

KW - risk assessment

UR - https://www.scopus.com/pages/publications/85060847470

U2 - 10.1109/EI2.2018.8582522

DO - 10.1109/EI2.2018.8582522

M3 - 会议稿件

AN - SCOPUS:85060847470

T3 - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings

BT - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018

Y2 - 20 October 2018 through 22 October 2018

ER -

Yan C, Hu Y, Bie Z, Wang C. MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet. In 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8582522. (2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings). doi: 10.1109/EI2.2018.8582522

MILP-Based Combined Power and Natural Gas System Risk Assessment in Energy Internet

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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