Transmission network expansion planning with wind energy integration: A stochastic programming model

Guo Chen; Zhaoyang Dong; David J. Hill

doi:10.1109/PESGM.2012.6344752

Transmission network expansion planning with wind energy integration: A stochastic programming model

Guo Chen
, Zhaoyang Dong
, David J. Hill

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

6 Citations (Scopus)

Abstract

The growing penetration of wind energy has introduced increasing uncertainties to power grids. As a result, it is necessary to develop new models and algorithms in transmission network expansion planning (TNEP) so as to deal with the risks. In this paper a stochastic programming model is proposed to carry out the TNEP. Moreover, an effective hybrid algorithm, which is the combination of evolutionary algorithms (EA) and Benders' Decomposition (BD) technique, is developed to solve the formed programming model. Theoretically, the EAs have the advantage of rapidly locating a high-quality region and the BD can accelerate the search to find the optimal solution within the region. In addition, the hybrid method is tested by the modified Garver's system and the IEEE 14 bus system. Promising results are obtained to validate its effectiveness.

Original language	English
Title of host publication	2012 IEEE Power and Energy Society General Meeting, PES 2012
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Print)	9781467327275
DOIs	https://doi.org/10.1109/PESGM.2012.6344752
Publication status	Published - 2012
Externally published	Yes
Event	IEEE Power and Energy Society General Meeting 2012 - Manchester Grand Hyatt, San Diego, United States of America Duration: 22 Jul 2012 → 26 Jul 2012 http://www.pes-gm.org/2012/ https://ieeexplore.ieee.org/xpl/conhome/6330648/proceeding (Proceedings)

Publication series

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

Conference

Conference	IEEE Power and Energy Society General Meeting 2012
Abbreviated title	PES-GM 2012
Country/Territory	United States of America
City	San Diego
Period	22/07/12 → 26/07/12
Internet address	http://www.pes-gm.org/2012/ https://ieeexplore.ieee.org/xpl/conhome/6330648/proceeding (Proceedings)

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

evolutionary computation
Hybrid algorithm
Stochastic programming
Transmission network expansion planning
Wind power

Access to Document

10.1109/PESGM.2012.6344752

Cite this

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title = "Transmission network expansion planning with wind energy integration: A stochastic programming model",

abstract = "The growing penetration of wind energy has introduced increasing uncertainties to power grids. As a result, it is necessary to develop new models and algorithms in transmission network expansion planning (TNEP) so as to deal with the risks. In this paper a stochastic programming model is proposed to carry out the TNEP. Moreover, an effective hybrid algorithm, which is the combination of evolutionary algorithms (EA) and Benders' Decomposition (BD) technique, is developed to solve the formed programming model. Theoretically, the EAs have the advantage of rapidly locating a high-quality region and the BD can accelerate the search to find the optimal solution within the region. In addition, the hybrid method is tested by the modified Garver's system and the IEEE 14 bus system. Promising results are obtained to validate its effectiveness.",

keywords = "evolutionary computation, Hybrid algorithm, Stochastic programming, Transmission network expansion planning, Wind power",

author = "Guo Chen and Zhaoyang Dong and Hill, \{David J.\}",

year = "2012",

doi = "10.1109/PESGM.2012.6344752",

language = "English",

isbn = "9781467327275",

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

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

booktitle = "2012 IEEE Power and Energy Society General Meeting, PES 2012",

address = "United States of America",

note = "IEEE Power and Energy Society General Meeting 2012, PES-GM 2012 ; Conference date: 22-07-2012 Through 26-07-2012",

url = "http://www.pes-gm.org/2012/, https://ieeexplore.ieee.org/xpl/conhome/6330648/proceeding",

}

Chen, G, Dong, Z & Hill, DJ 2012, Transmission network expansion planning with wind energy integration: A stochastic programming model. in 2012 IEEE Power and Energy Society General Meeting, PES 2012. IEEE Power and Energy Society General Meeting, IEEE, Institute of Electrical and Electronics Engineers, IEEE Power and Energy Society General Meeting 2012, San Diego, California, United States of America, 22/07/12. https://doi.org/10.1109/PESGM.2012.6344752

Transmission network expansion planning with wind energy integration: A stochastic programming model. / Chen, Guo; Dong, Zhaoyang; Hill, David J.
2012 IEEE Power and Energy Society General Meeting, PES 2012. IEEE, Institute of Electrical and Electronics Engineers, 2012. (IEEE Power and Energy Society General Meeting).

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

TY - GEN

T1 - Transmission network expansion planning with wind energy integration

T2 - IEEE Power and Energy Society General Meeting 2012

AU - Chen, Guo

AU - Dong, Zhaoyang

AU - Hill, David J.

PY - 2012

Y1 - 2012

N2 - The growing penetration of wind energy has introduced increasing uncertainties to power grids. As a result, it is necessary to develop new models and algorithms in transmission network expansion planning (TNEP) so as to deal with the risks. In this paper a stochastic programming model is proposed to carry out the TNEP. Moreover, an effective hybrid algorithm, which is the combination of evolutionary algorithms (EA) and Benders' Decomposition (BD) technique, is developed to solve the formed programming model. Theoretically, the EAs have the advantage of rapidly locating a high-quality region and the BD can accelerate the search to find the optimal solution within the region. In addition, the hybrid method is tested by the modified Garver's system and the IEEE 14 bus system. Promising results are obtained to validate its effectiveness.

AB - The growing penetration of wind energy has introduced increasing uncertainties to power grids. As a result, it is necessary to develop new models and algorithms in transmission network expansion planning (TNEP) so as to deal with the risks. In this paper a stochastic programming model is proposed to carry out the TNEP. Moreover, an effective hybrid algorithm, which is the combination of evolutionary algorithms (EA) and Benders' Decomposition (BD) technique, is developed to solve the formed programming model. Theoretically, the EAs have the advantage of rapidly locating a high-quality region and the BD can accelerate the search to find the optimal solution within the region. In addition, the hybrid method is tested by the modified Garver's system and the IEEE 14 bus system. Promising results are obtained to validate its effectiveness.

KW - evolutionary computation

KW - Hybrid algorithm

KW - Stochastic programming

KW - Transmission network expansion planning

KW - Wind power

UR - https://www.scopus.com/pages/publications/84870619065

U2 - 10.1109/PESGM.2012.6344752

DO - 10.1109/PESGM.2012.6344752

M3 - Conference Paper

AN - SCOPUS:84870619065

SN - 9781467327275

T3 - IEEE Power and Energy Society General Meeting

BT - 2012 IEEE Power and Energy Society General Meeting, PES 2012

PB - IEEE, Institute of Electrical and Electronics Engineers

Y2 - 22 July 2012 through 26 July 2012

ER -

Transmission network expansion planning with wind energy integration: A stochastic programming model

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this