Maximizing renewable energy penetration through distribution network reconfiguration using mixed-integer conic programming

Yafei Yang; Xiaohong Guan; Qiaozhu Zhai; Jiang Wu; Xuejiao Lei

doi:10.1109/PESGM.2014.6939786

Maximizing renewable energy penetration through distribution network reconfiguration using mixed-integer conic programming

Yafei Yang
, Xiaohong Guan
, Qiaozhu Zhai
, Jiang Wu
, Xuejiao Lei

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

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

11 Scopus citations

Abstract

This paper presents a model to maximize the renewable energy penetration level in reconfigurable radial distribution system when renewable generation and load profile are hardly matched. By means of variable substitution and relaxation method, the original mixed-integer nonlinear programming model can be transformed into a mixed-integer conic programming model, which could guarantee a global optimal solution with better computational efficiency. Different sizes of DG units under different load levels are considered to evaluate the performance of the proposed model and method, and two distinct types of system have been tested. Case study results show the efficiency of the method and an optimal renewable energy penetration level is obtained.

Original language	English
Title of host publication	2014 IEEE PES General Meeting / Conference and Exposition
Publisher	IEEE Computer Society
Edition	October
ISBN (Electronic)	9781479964154
DOIs	https://doi.org/10.1109/PESGM.2014.6939786
State	Published - 29 Oct 2014
Event	2014 IEEE Power and Energy Society General Meeting - National Harbor, United States Duration: 27 Jul 2014 → 31 Jul 2014

Publication series

Name	IEEE Power and Energy Society General Meeting
Number	October
Volume	2014-October
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2014 IEEE Power and Energy Society General Meeting
Country/Territory	United States
City	National Harbor
Period	27/07/14 → 31/07/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Distributed power generation
distribution system reconfiguration
optimization methods
power distribution control

Access to Document

10.1109/PESGM.2014.6939786

Cite this

Yang, Y., Guan, X., Zhai, Q., Wu, J., & Lei, X. (2014). Maximizing renewable energy penetration through distribution network reconfiguration using mixed-integer conic programming. In 2014 IEEE PES General Meeting / Conference and Exposition (October ed.). Article 6939786 (IEEE Power and Energy Society General Meeting; Vol. 2014-October, No. October). IEEE Computer Society. https://doi.org/10.1109/PESGM.2014.6939786

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title = "Maximizing renewable energy penetration through distribution network reconfiguration using mixed-integer conic programming",

abstract = "This paper presents a model to maximize the renewable energy penetration level in reconfigurable radial distribution system when renewable generation and load profile are hardly matched. By means of variable substitution and relaxation method, the original mixed-integer nonlinear programming model can be transformed into a mixed-integer conic programming model, which could guarantee a global optimal solution with better computational efficiency. Different sizes of DG units under different load levels are considered to evaluate the performance of the proposed model and method, and two distinct types of system have been tested. Case study results show the efficiency of the method and an optimal renewable energy penetration level is obtained.",

keywords = "Distributed power generation, distribution system reconfiguration, optimization methods, power distribution control",

author = "Yafei Yang and Xiaohong Guan and Qiaozhu Zhai and Jiang Wu and Xuejiao Lei",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Power and Energy Society General Meeting ; Conference date: 27-07-2014 Through 31-07-2014",

year = "2014",

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day = "29",

doi = "10.1109/PESGM.2014.6939786",

language = "英语",

series = "IEEE Power and Energy Society General Meeting",

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Yang, Y, Guan, X , Zhai, Q , Wu, J & Lei, X 2014, Maximizing renewable energy penetration through distribution network reconfiguration using mixed-integer conic programming. in 2014 IEEE PES General Meeting / Conference and Exposition. October edn, 6939786, IEEE Power and Energy Society General Meeting, no. October, vol. 2014-October, IEEE Computer Society, 2014 IEEE Power and Energy Society General Meeting, National Harbor, United States, 27/07/14. https://doi.org/10.1109/PESGM.2014.6939786

Maximizing renewable energy penetration through distribution network reconfiguration using mixed-integer conic programming. / Yang, Yafei; Guan, Xiaohong ; Zhai, Qiaozhu et al.
2014 IEEE PES General Meeting / Conference and Exposition. October. ed. IEEE Computer Society, 2014. 6939786 (IEEE Power and Energy Society General Meeting; Vol. 2014-October, No. October).

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

TY - GEN

T1 - Maximizing renewable energy penetration through distribution network reconfiguration using mixed-integer conic programming

AU - Yang, Yafei

AU - Guan, Xiaohong

AU - Zhai, Qiaozhu

AU - Wu, Jiang

AU - Lei, Xuejiao

PY - 2014/10/29

Y1 - 2014/10/29

N2 - This paper presents a model to maximize the renewable energy penetration level in reconfigurable radial distribution system when renewable generation and load profile are hardly matched. By means of variable substitution and relaxation method, the original mixed-integer nonlinear programming model can be transformed into a mixed-integer conic programming model, which could guarantee a global optimal solution with better computational efficiency. Different sizes of DG units under different load levels are considered to evaluate the performance of the proposed model and method, and two distinct types of system have been tested. Case study results show the efficiency of the method and an optimal renewable energy penetration level is obtained.

AB - This paper presents a model to maximize the renewable energy penetration level in reconfigurable radial distribution system when renewable generation and load profile are hardly matched. By means of variable substitution and relaxation method, the original mixed-integer nonlinear programming model can be transformed into a mixed-integer conic programming model, which could guarantee a global optimal solution with better computational efficiency. Different sizes of DG units under different load levels are considered to evaluate the performance of the proposed model and method, and two distinct types of system have been tested. Case study results show the efficiency of the method and an optimal renewable energy penetration level is obtained.

KW - Distributed power generation

KW - distribution system reconfiguration

KW - optimization methods

KW - power distribution control

UR - https://www.scopus.com/pages/publications/84930995325

U2 - 10.1109/PESGM.2014.6939786

DO - 10.1109/PESGM.2014.6939786

M3 - 会议稿件

AN - SCOPUS:84930995325

T3 - IEEE Power and Energy Society General Meeting

BT - 2014 IEEE PES General Meeting / Conference and Exposition

PB - IEEE Computer Society

T2 - 2014 IEEE Power and Energy Society General Meeting

Y2 - 27 July 2014 through 31 July 2014

ER -

Maximizing renewable energy penetration through distribution network reconfiguration using mixed-integer conic programming

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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