A new method to evaluate maximum capacity of photovoltaic integration considering network topology reconfiguration

Yanling Lin; Tao Ding; Zhaohong Bie; Gengfeng Li

doi:10.1109/PESGM.2016.7741835

A new method to evaluate maximum capacity of photovoltaic integration considering network topology reconfiguration

School of Electrical Engineering

Xi'an Jiaotong University

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

3 Scopus citations

Abstract

As photovoltaic (PV) integration increases in distribution systems, an effective way of assessing the maximum allowable PV integration capacity is urgently needed. In this paper, a new method is proposed to evaluate the maximum PV integration capacity with AC power flow limits, and the effect of topology reconfiguration on PV integration is also considered. In addition, the single commodity flow constraint is put forward to guarantee topology radiality. Usually, this problem requires mix integer non-convex optimization, which is a great challenge to solve. To address this problem, second order cones are employed to relax the non-convex constraints so that the model can be efficiently solved. Furthermore, the IEEE 33-bus test system with four PV integration cases for maximum integration capacity is studied. The test result shows the effectiveness of reconfiguration in increasing maximum PV integration capacity.

Original language	English
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741835
State	Published - 10 Nov 2016
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	17/07/16 → 21/07/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Distributed generation (DG)
Mixed integer second order cone programming (SOCP)
Photovoltaic
Topology reconfiguration

Access to Document

10.1109/PESGM.2016.7741835

Cite this

Lin, Y., Ding, T., Bie, Z., & Li, G. (2016). A new method to evaluate maximum capacity of photovoltaic integration considering network topology reconfiguration. In 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 Article 7741835 (IEEE Power and Energy Society General Meeting; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741835

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title = "A new method to evaluate maximum capacity of photovoltaic integration considering network topology reconfiguration",

abstract = "As photovoltaic (PV) integration increases in distribution systems, an effective way of assessing the maximum allowable PV integration capacity is urgently needed. In this paper, a new method is proposed to evaluate the maximum PV integration capacity with AC power flow limits, and the effect of topology reconfiguration on PV integration is also considered. In addition, the single commodity flow constraint is put forward to guarantee topology radiality. Usually, this problem requires mix integer non-convex optimization, which is a great challenge to solve. To address this problem, second order cones are employed to relax the non-convex constraints so that the model can be efficiently solved. Furthermore, the IEEE 33-bus test system with four PV integration cases for maximum integration capacity is studied. The test result shows the effectiveness of reconfiguration in increasing maximum PV integration capacity.",

keywords = "Distributed generation (DG), Mixed integer second order cone programming (SOCP), Photovoltaic, Topology reconfiguration",

author = "Yanling Lin and Tao Ding and Zhaohong Bie and Gengfeng Li",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 ; Conference date: 17-07-2016 Through 21-07-2016",

year = "2016",

month = nov,

day = "10",

doi = "10.1109/PESGM.2016.7741835",

language = "英语",

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

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booktitle = "2016 IEEE Power and Energy Society General Meeting, PESGM 2016",

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Lin, Y, Ding, T , Bie, Z & Li, G 2016, A new method to evaluate maximum capacity of photovoltaic integration considering network topology reconfiguration. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741835, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17/07/16. https://doi.org/10.1109/PESGM.2016.7741835

A new method to evaluate maximum capacity of photovoltaic integration considering network topology reconfiguration. / Lin, Yanling; Ding, Tao ; Bie, Zhaohong et al.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. IEEE Computer Society, 2016. 7741835 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

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

TY - GEN

T1 - A new method to evaluate maximum capacity of photovoltaic integration considering network topology reconfiguration

AU - Lin, Yanling

AU - Ding, Tao

AU - Bie, Zhaohong

AU - Li, Gengfeng

PY - 2016/11/10

Y1 - 2016/11/10

N2 - As photovoltaic (PV) integration increases in distribution systems, an effective way of assessing the maximum allowable PV integration capacity is urgently needed. In this paper, a new method is proposed to evaluate the maximum PV integration capacity with AC power flow limits, and the effect of topology reconfiguration on PV integration is also considered. In addition, the single commodity flow constraint is put forward to guarantee topology radiality. Usually, this problem requires mix integer non-convex optimization, which is a great challenge to solve. To address this problem, second order cones are employed to relax the non-convex constraints so that the model can be efficiently solved. Furthermore, the IEEE 33-bus test system with four PV integration cases for maximum integration capacity is studied. The test result shows the effectiveness of reconfiguration in increasing maximum PV integration capacity.

AB - As photovoltaic (PV) integration increases in distribution systems, an effective way of assessing the maximum allowable PV integration capacity is urgently needed. In this paper, a new method is proposed to evaluate the maximum PV integration capacity with AC power flow limits, and the effect of topology reconfiguration on PV integration is also considered. In addition, the single commodity flow constraint is put forward to guarantee topology radiality. Usually, this problem requires mix integer non-convex optimization, which is a great challenge to solve. To address this problem, second order cones are employed to relax the non-convex constraints so that the model can be efficiently solved. Furthermore, the IEEE 33-bus test system with four PV integration cases for maximum integration capacity is studied. The test result shows the effectiveness of reconfiguration in increasing maximum PV integration capacity.

KW - Distributed generation (DG)

KW - Mixed integer second order cone programming (SOCP)

KW - Photovoltaic

KW - Topology reconfiguration

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U2 - 10.1109/PESGM.2016.7741835

DO - 10.1109/PESGM.2016.7741835

M3 - 会议稿件

AN - SCOPUS:85002388904

T3 - IEEE Power and Energy Society General Meeting

BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

PB - IEEE Computer Society

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

A new method to evaluate maximum capacity of photovoltaic integration considering network topology reconfiguration

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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