Optimal wind capacity integration considering the possibilistic uncertainty of wind resources

Can Sun; Min Xie; Zhaohong Bie; Jiangfeng Jiang; Xiaobo Song

doi:10.1109/ISGT-Asia.2015.7387121

Optimal wind capacity integration considering the possibilistic uncertainty of wind resources

Can Sun
, Min Xie
, Zhaohong Bie
, Jiangfeng Jiang
, Xiaobo Song

School of Electrical Engineering

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

Abstract

Due to the energy crisis, environmental contamination and other problems related with conventional generations, it is essential to consider the integration of renewable energy, especially wind power. This paper, therefore, outlines the design and study of an interval optimization model to determine optimal wind capacity in an existing power grid. Interval wind capacity factor is proposed to analyze and propagate the uncertainty of wind resources. This model aims at minimizing the overall cost including the variable cost of coal-fired generation, start-up/shutdown cost of generation units, capital investment of wind farm, reserve cost, penalty cost of wind curtailment and fixed operational cost of wind power. The effectiveness of the proposed model is validated by its application in a real-life power grid. Compared with previous research, this method can aid power system planners to make decisions about wind capacity considering the possibilistic uncertainty of wind resource.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509012381
DOIs	https://doi.org/10.1109/ISGT-Asia.2015.7387121
State	Published - 19 Jan 2016
Event	IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 - Bangkok, Thailand Duration: 3 Nov 2015 → 6 Nov 2015

Publication series

Name	Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015

Conference

Conference	IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
Country/Territory	Thailand
City	Bangkok
Period	3/11/15 → 6/11/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Cost minimization
optimal wind capacity
possibilistic uncertainty
power system

Access to Document

10.1109/ISGT-Asia.2015.7387121

Cite this

Sun, C., Xie, M., Bie, Z., Jiang, J., & Song, X. (2016). Optimal wind capacity integration considering the possibilistic uncertainty of wind resources. In Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 Article 7387121 (Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-Asia.2015.7387121

Sun, Can ; Xie, Min ; Bie, Zhaohong et al. / Optimal wind capacity integration considering the possibilistic uncertainty of wind resources. Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015. Institute of Electrical and Electronics Engineers Inc., 2016. (Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015).

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title = "Optimal wind capacity integration considering the possibilistic uncertainty of wind resources",

abstract = "Due to the energy crisis, environmental contamination and other problems related with conventional generations, it is essential to consider the integration of renewable energy, especially wind power. This paper, therefore, outlines the design and study of an interval optimization model to determine optimal wind capacity in an existing power grid. Interval wind capacity factor is proposed to analyze and propagate the uncertainty of wind resources. This model aims at minimizing the overall cost including the variable cost of coal-fired generation, start-up/shutdown cost of generation units, capital investment of wind farm, reserve cost, penalty cost of wind curtailment and fixed operational cost of wind power. The effectiveness of the proposed model is validated by its application in a real-life power grid. Compared with previous research, this method can aid power system planners to make decisions about wind capacity considering the possibilistic uncertainty of wind resource.",

keywords = "Cost minimization, optimal wind capacity, possibilistic uncertainty, power system",

author = "Can Sun and Min Xie and Zhaohong Bie and Jiangfeng Jiang and Xiaobo Song",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 ; Conference date: 03-11-2015 Through 06-11-2015",

year = "2016",

month = jan,

day = "19",

doi = "10.1109/ISGT-Asia.2015.7387121",

language = "英语",

series = "Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015",

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Sun, C, Xie, M, Bie, Z, Jiang, J & Song, X 2016, Optimal wind capacity integration considering the possibilistic uncertainty of wind resources. in Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015., 7387121, Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015, Institute of Electrical and Electronics Engineers Inc., IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015, Bangkok, Thailand, 3/11/15. https://doi.org/10.1109/ISGT-Asia.2015.7387121

Optimal wind capacity integration considering the possibilistic uncertainty of wind resources. / Sun, Can; Xie, Min; Bie, Zhaohong et al.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7387121 (Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015).

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

TY - GEN

T1 - Optimal wind capacity integration considering the possibilistic uncertainty of wind resources

AU - Sun, Can

AU - Xie, Min

AU - Bie, Zhaohong

AU - Jiang, Jiangfeng

AU - Song, Xiaobo

PY - 2016/1/19

Y1 - 2016/1/19

N2 - Due to the energy crisis, environmental contamination and other problems related with conventional generations, it is essential to consider the integration of renewable energy, especially wind power. This paper, therefore, outlines the design and study of an interval optimization model to determine optimal wind capacity in an existing power grid. Interval wind capacity factor is proposed to analyze and propagate the uncertainty of wind resources. This model aims at minimizing the overall cost including the variable cost of coal-fired generation, start-up/shutdown cost of generation units, capital investment of wind farm, reserve cost, penalty cost of wind curtailment and fixed operational cost of wind power. The effectiveness of the proposed model is validated by its application in a real-life power grid. Compared with previous research, this method can aid power system planners to make decisions about wind capacity considering the possibilistic uncertainty of wind resource.

AB - Due to the energy crisis, environmental contamination and other problems related with conventional generations, it is essential to consider the integration of renewable energy, especially wind power. This paper, therefore, outlines the design and study of an interval optimization model to determine optimal wind capacity in an existing power grid. Interval wind capacity factor is proposed to analyze and propagate the uncertainty of wind resources. This model aims at minimizing the overall cost including the variable cost of coal-fired generation, start-up/shutdown cost of generation units, capital investment of wind farm, reserve cost, penalty cost of wind curtailment and fixed operational cost of wind power. The effectiveness of the proposed model is validated by its application in a real-life power grid. Compared with previous research, this method can aid power system planners to make decisions about wind capacity considering the possibilistic uncertainty of wind resource.

KW - Cost minimization

KW - optimal wind capacity

KW - possibilistic uncertainty

KW - power system

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M3 - 会议稿件

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T3 - Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015

BT - Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Sun C, Xie M, Bie Z, Jiang J, Song X. Optimal wind capacity integration considering the possibilistic uncertainty of wind resources. In Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7387121. (Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015). doi: 10.1109/ISGT-Asia.2015.7387121

Optimal wind capacity integration considering the possibilistic uncertainty of wind resources

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UN SDGs

Keywords

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