Day-ahead scheduling of wind generation and energy storage

Mohamed Shaaban; Wen Shan Tan; Md Pauzi Abdullah

doi:10.1109/TENCON.2017.8228248

Day-ahead scheduling of wind generation and energy storage

Mohamed Shaaban, Wen Shan Tan, Md Pauzi Abdullah

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

Abstract

This paper presents a chance-constrained scheduling (CCS) approach for variable wind generation, in the day-ahead timescale, including energy storage. The day-ahead CCS utilizes the ramping of conventional generation as well as the dispatch of energy storage to enhance the load following and ramping support capabilities, to mitigate the impact of net load ramps. The proposed CCS approach is converted into an equivalent mixed-integer linear programming (MILP) expression with the aim to maintain the compatibility with commercially state-of-the-art optimization solvers. Numerical simulations, carried out on the IEEE RTS 96 test system with high penetration of wind power, indicate the effectiveness of the developed CCS formulation and highlight the competitive aspects of the proposed CCS approach.

Original language	English
Title of host publication	TENCON 2017 - 2017 IEEE Region 10 Conference
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2319-2324
Number of pages	6
ISBN (Electronic)	9781509011339
DOIs	https://doi.org/10.1109/TENCON.2017.8228248
Publication status	Published - 2017
Externally published	Yes
Event	IEEE Tencon (IEEE Region 10 Conference) 2017 - Penang, Malaysia Duration: 5 Nov 2017 → 8 Nov 2017 https://ieeexplore.ieee.org/xpl/conhome/8169968/proceeding (Proceedings) https://ieeemy.org/tencon/ (Website)

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2017-December
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	IEEE Tencon (IEEE Region 10 Conference) 2017
Abbreviated title	TENCON 2017
Country/Territory	Malaysia
City	Penang
Period	5/11/17 → 8/11/17
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8169968/proceeding (Proceedings) https://ieeemy.org/tencon/ (Website)

Keywords

chance-constrained optimization
Generation scheduling
mixed-integer linear programming
storage devices
wind generation

Access to Document

10.1109/TENCON.2017.8228248

Cite this

@inproceedings{a6efdf1855d84c3eb6300a93ab071391,

title = "Day-ahead scheduling of wind generation and energy storage",

abstract = "This paper presents a chance-constrained scheduling (CCS) approach for variable wind generation, in the day-ahead timescale, including energy storage. The day-ahead CCS utilizes the ramping of conventional generation as well as the dispatch of energy storage to enhance the load following and ramping support capabilities, to mitigate the impact of net load ramps. The proposed CCS approach is converted into an equivalent mixed-integer linear programming (MILP) expression with the aim to maintain the compatibility with commercially state-of-the-art optimization solvers. Numerical simulations, carried out on the IEEE RTS 96 test system with high penetration of wind power, indicate the effectiveness of the developed CCS formulation and highlight the competitive aspects of the proposed CCS approach.",

keywords = "chance-constrained optimization, Generation scheduling, mixed-integer linear programming, storage devices, wind generation",

author = "Mohamed Shaaban and Tan, {Wen Shan} and Abdullah, {Md Pauzi}",

note = "Funding Information: This work was supported by the Universiti Malaysia Sarawak (UNIMAS), under Grant No. F02/SpGS/1544/2017. Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; IEEE Tencon (IEEE Region 10 Conference) 2017, TENCON 2017 ; Conference date: 05-11-2017 Through 08-11-2017",

year = "2017",

doi = "10.1109/TENCON.2017.8228248",

language = "English",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

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

pages = "2319--2324",

booktitle = "TENCON 2017 - 2017 IEEE Region 10 Conference",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/8169968/proceeding, https://ieeemy.org/tencon/",

}

Shaaban, M, Tan, WS & Abdullah, MP 2017, Day-ahead scheduling of wind generation and energy storage. in TENCON 2017 - 2017 IEEE Region 10 Conference. IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2017-December, IEEE, Institute of Electrical and Electronics Engineers, pp. 2319-2324, IEEE Tencon (IEEE Region 10 Conference) 2017, Penang, Malaysia, 5/11/17. https://doi.org/10.1109/TENCON.2017.8228248

Day-ahead scheduling of wind generation and energy storage. / Shaaban, Mohamed; Tan, Wen Shan; Abdullah, Md Pauzi.
TENCON 2017 - 2017 IEEE Region 10 Conference. IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 2319-2324 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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T1 - Day-ahead scheduling of wind generation and energy storage

AU - Shaaban, Mohamed

AU - Tan, Wen Shan

AU - Abdullah, Md Pauzi

N1 - Funding Information: This work was supported by the Universiti Malaysia Sarawak (UNIMAS), under Grant No. F02/SpGS/1544/2017. Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2017

Y1 - 2017

N2 - This paper presents a chance-constrained scheduling (CCS) approach for variable wind generation, in the day-ahead timescale, including energy storage. The day-ahead CCS utilizes the ramping of conventional generation as well as the dispatch of energy storage to enhance the load following and ramping support capabilities, to mitigate the impact of net load ramps. The proposed CCS approach is converted into an equivalent mixed-integer linear programming (MILP) expression with the aim to maintain the compatibility with commercially state-of-the-art optimization solvers. Numerical simulations, carried out on the IEEE RTS 96 test system with high penetration of wind power, indicate the effectiveness of the developed CCS formulation and highlight the competitive aspects of the proposed CCS approach.

AB - This paper presents a chance-constrained scheduling (CCS) approach for variable wind generation, in the day-ahead timescale, including energy storage. The day-ahead CCS utilizes the ramping of conventional generation as well as the dispatch of energy storage to enhance the load following and ramping support capabilities, to mitigate the impact of net load ramps. The proposed CCS approach is converted into an equivalent mixed-integer linear programming (MILP) expression with the aim to maintain the compatibility with commercially state-of-the-art optimization solvers. Numerical simulations, carried out on the IEEE RTS 96 test system with high penetration of wind power, indicate the effectiveness of the developed CCS formulation and highlight the competitive aspects of the proposed CCS approach.

KW - chance-constrained optimization

KW - Generation scheduling

KW - mixed-integer linear programming

KW - storage devices

KW - wind generation

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AN - SCOPUS:85044181034

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

SP - 2319

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BT - TENCON 2017 - 2017 IEEE Region 10 Conference

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T2 - IEEE Tencon (IEEE Region 10 Conference) 2017

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ER -

Day-ahead scheduling of wind generation and energy storage

Abstract

Publication series

Conference

Keywords

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Other files and links

Chance-constrained programming for day-ahead scheduling of variable wind power amongst conventional generation mix and energy storage

Cite this