Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program

Bowen Zhang; Yonghui Sun; Yongjie Zhong; Mouquan Shen

doi:10.1109/CCDC.2018.8408012

Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program

Bowen Zhang, Yonghui Sun, Yongjie Zhong, Mouquan Shen

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

7 Scopus citations

Abstract

In this paper, integrated energy system (IES), consisting of electric power system (EPS), natural gas system (NGS) and energy hubs (EHs), is modeled and analyzed in detail. Due to the optimal energy flow problem of IES is the mixed integer nonconvex and nonlinear programming problem, which is difficult to be solved. To address this issue, second-order cone program (SOCP) relaxation is utilized to transform the original nonconvex programming problem into the convex programming problem, thus which can be easily solved by using MOSEK. Finally, simulation studies are conducted on a modified IEEE 33 distribution network and a 15-nodes gas network, which demonstrate that the proposed method could get the global optimal solution quickly and effectively.

Original language	English
Title of host publication	Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5085-5089
Number of pages	5
ISBN (Electronic)	9781538612439
DOIs	https://doi.org/10.1109/CCDC.2018.8408012
State	Published - 6 Jul 2018
Externally published	Yes
Event	30th Chinese Control and Decision Conference, CCDC 2018 - Shenyang, China Duration: 9 Jun 2018 → 11 Jun 2018

Publication series

Name	Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

Conference

Conference	30th Chinese Control and Decision Conference, CCDC 2018
Country/Territory	China
City	Shenyang
Period	9/06/18 → 11/06/18

Keywords

Global optimal solution
Integrated energy system
Optimal energy flow
Second-order cone program

Access to Document

10.1109/CCDC.2018.8408012

Cite this

Zhang, B., Sun, Y., Zhong, Y., & Shen, M. (2018). Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program. In Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018 (pp. 5085-5089). (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2018.8408012

Zhang, Bowen ; Sun, Yonghui ; Zhong, Yongjie et al. / Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program. Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 5085-5089 (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018).

@inproceedings{6961a562073a41818b94eceeaaecab9f,

title = "Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program",

abstract = "In this paper, integrated energy system (IES), consisting of electric power system (EPS), natural gas system (NGS) and energy hubs (EHs), is modeled and analyzed in detail. Due to the optimal energy flow problem of IES is the mixed integer nonconvex and nonlinear programming problem, which is difficult to be solved. To address this issue, second-order cone program (SOCP) relaxation is utilized to transform the original nonconvex programming problem into the convex programming problem, thus which can be easily solved by using MOSEK. Finally, simulation studies are conducted on a modified IEEE 33 distribution network and a 15-nodes gas network, which demonstrate that the proposed method could get the global optimal solution quickly and effectively.",

keywords = "Global optimal solution, Integrated energy system, Optimal energy flow, Second-order cone program",

author = "Bowen Zhang and Yonghui Sun and Yongjie Zhong and Mouquan Shen",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 30th Chinese Control and Decision Conference, CCDC 2018 ; Conference date: 09-06-2018 Through 11-06-2018",

year = "2018",

month = jul,

day = "6",

doi = "10.1109/CCDC.2018.8408012",

language = "英语",

series = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",

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

pages = "5085--5089",

booktitle = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",

address = "美国",

}

Zhang, B, Sun, Y, Zhong, Y & Shen, M 2018, Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program. in Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 5085-5089, 30th Chinese Control and Decision Conference, CCDC 2018, Shenyang, China, 9/06/18. https://doi.org/10.1109/CCDC.2018.8408012

Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program. / Zhang, Bowen; Sun, Yonghui; Zhong, Yongjie et al.
Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 5085-5089 (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018).

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

TY - GEN

T1 - Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program

AU - Zhang, Bowen

AU - Sun, Yonghui

AU - Zhong, Yongjie

AU - Shen, Mouquan

PY - 2018/7/6

Y1 - 2018/7/6

N2 - In this paper, integrated energy system (IES), consisting of electric power system (EPS), natural gas system (NGS) and energy hubs (EHs), is modeled and analyzed in detail. Due to the optimal energy flow problem of IES is the mixed integer nonconvex and nonlinear programming problem, which is difficult to be solved. To address this issue, second-order cone program (SOCP) relaxation is utilized to transform the original nonconvex programming problem into the convex programming problem, thus which can be easily solved by using MOSEK. Finally, simulation studies are conducted on a modified IEEE 33 distribution network and a 15-nodes gas network, which demonstrate that the proposed method could get the global optimal solution quickly and effectively.

AB - In this paper, integrated energy system (IES), consisting of electric power system (EPS), natural gas system (NGS) and energy hubs (EHs), is modeled and analyzed in detail. Due to the optimal energy flow problem of IES is the mixed integer nonconvex and nonlinear programming problem, which is difficult to be solved. To address this issue, second-order cone program (SOCP) relaxation is utilized to transform the original nonconvex programming problem into the convex programming problem, thus which can be easily solved by using MOSEK. Finally, simulation studies are conducted on a modified IEEE 33 distribution network and a 15-nodes gas network, which demonstrate that the proposed method could get the global optimal solution quickly and effectively.

KW - Global optimal solution

KW - Integrated energy system

KW - Optimal energy flow

KW - Second-order cone program

UR - http://www.scopus.com/inward/record.url?scp=85050892631&partnerID=8YFLogxK

U2 - 10.1109/CCDC.2018.8408012

DO - 10.1109/CCDC.2018.8408012

M3 - 会议稿件

AN - SCOPUS:85050892631

T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

SP - 5085

EP - 5089

BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 30th Chinese Control and Decision Conference, CCDC 2018

Y2 - 9 June 2018 through 11 June 2018

ER -

Zhang B, Sun Y, Zhong Y, Shen M. Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program. In Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 5085-5089. (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018). doi: 10.1109/CCDC.2018.8408012

Optimal Energy Flow of Electricity-Gas Integrated Energy System Using Second-order Cone Program

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this