Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming

Muhammad Khalid; Andrey V. Savkin; Vassilios G. Agelidis

doi:10.1109/ASCC.2015.7244620

Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming

Muhammad Khalid^*, Andrey V. Savkin, Vassilios G. Agelidis

^*Corresponding author for this work

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

2 Scopus citations

Abstract

In this paper, a wind power selling strategy based on a dynamic programming algorithm (DP) is presented to maximize the income for wind power plant integrated with a battery energy storage system (BESS). Since electricity market prices and wind power vary throughout the day, the idea is to store energy during low price-periods and sell it when prices are high. The proposed strategy aims to take advantage of the price variability in order to generate extra income and consequently the operational profit by carefully adjusting charging/discharging of the BESS while satisfying the operational constraints. Twofold benefits of the strategy lie in efficient energy selling along with the constrained based optimal operation of BESS. The strategy has been analyzed for a few BESSs with a range of energy and power capacities, and income improvement over a trivial strategy is calculated. Simulation results depict the effectiveness of the proposed strategy validated with real-world wind farm data and electricity market prices.

Original language	English
Title of host publication	2015 10th Asian Control Conference
Subtitle of host publication	Emerging Control Techniques for a Sustainable World, ASCC 2015
Editors	Hazlina Selamat, Hafiz Rashidi Haruna Ramli, Ahmad Athif Mohd Faudzi, Ribhan Zafira Abdul Rahman, Asnor Juraiza Ishak, Azura Che Soh, Siti Anom Ahmad
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479978625
DOIs	https://doi.org/10.1109/ASCC.2015.7244620
State	Published - 8 Sep 2015
Externally published	Yes

Publication series

Name	2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

Control and Systems Engineering

UN SDGs

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

Access to Document

10.1109/ASCC.2015.7244620

Cite this

Khalid, M., Savkin, A. V., & Agelidis, V. G. (2015). Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming. In H. Selamat, H. R. H. Ramli, A. A. M. Faudzi, R. Z. A. Rahman, A. J. Ishak, A. C. Soh, & S. A. Ahmad (Eds.), 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 Article 7244620 (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2015.7244620

Khalid, Muhammad ; Savkin, Andrey V. ; Agelidis, Vassilios G. / Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming. 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. editor / Hazlina Selamat ; Hafiz Rashidi Haruna Ramli ; Ahmad Athif Mohd Faudzi ; Ribhan Zafira Abdul Rahman ; Asnor Juraiza Ishak ; Azura Che Soh ; Siti Anom Ahmad. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015).

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title = "Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming",

abstract = "In this paper, a wind power selling strategy based on a dynamic programming algorithm (DP) is presented to maximize the income for wind power plant integrated with a battery energy storage system (BESS). Since electricity market prices and wind power vary throughout the day, the idea is to store energy during low price-periods and sell it when prices are high. The proposed strategy aims to take advantage of the price variability in order to generate extra income and consequently the operational profit by carefully adjusting charging/discharging of the BESS while satisfying the operational constraints. Twofold benefits of the strategy lie in efficient energy selling along with the constrained based optimal operation of BESS. The strategy has been analyzed for a few BESSs with a range of energy and power capacities, and income improvement over a trivial strategy is calculated. Simulation results depict the effectiveness of the proposed strategy validated with real-world wind farm data and electricity market prices.",

author = "Muhammad Khalid and Savkin, \{Andrey V.\} and Agelidis, \{Vassilios G.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2015",

month = sep,

day = "8",

doi = "10.1109/ASCC.2015.7244620",

language = "English",

series = "2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Hazlina Selamat and Ramli, \{Hafiz Rashidi Haruna\} and Faudzi, \{Ahmad Athif Mohd\} and Rahman, \{Ribhan Zafira Abdul\} and Ishak, \{Asnor Juraiza\} and Soh, \{Azura Che\} and Ahmad, \{Siti Anom\}",

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Khalid, M, Savkin, AV & Agelidis, VG 2015, Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming. in H Selamat, HRH Ramli, AAM Faudzi, RZA Rahman, AJ Ishak, AC Soh & SA Ahmad (eds), 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015., 7244620, 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ASCC.2015.7244620

Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming. / Khalid, Muhammad; Savkin, Andrey V.; Agelidis, Vassilios G.
2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. ed. / Hazlina Selamat; Hafiz Rashidi Haruna Ramli; Ahmad Athif Mohd Faudzi; Ribhan Zafira Abdul Rahman; Asnor Juraiza Ishak; Azura Che Soh; Siti Anom Ahmad. Institute of Electrical and Electronics Engineers Inc., 2015. 7244620 (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015).

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

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AU - Khalid, Muhammad

AU - Savkin, Andrey V.

AU - Agelidis, Vassilios G.

PY - 2015/9/8

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N2 - In this paper, a wind power selling strategy based on a dynamic programming algorithm (DP) is presented to maximize the income for wind power plant integrated with a battery energy storage system (BESS). Since electricity market prices and wind power vary throughout the day, the idea is to store energy during low price-periods and sell it when prices are high. The proposed strategy aims to take advantage of the price variability in order to generate extra income and consequently the operational profit by carefully adjusting charging/discharging of the BESS while satisfying the operational constraints. Twofold benefits of the strategy lie in efficient energy selling along with the constrained based optimal operation of BESS. The strategy has been analyzed for a few BESSs with a range of energy and power capacities, and income improvement over a trivial strategy is calculated. Simulation results depict the effectiveness of the proposed strategy validated with real-world wind farm data and electricity market prices.

AB - In this paper, a wind power selling strategy based on a dynamic programming algorithm (DP) is presented to maximize the income for wind power plant integrated with a battery energy storage system (BESS). Since electricity market prices and wind power vary throughout the day, the idea is to store energy during low price-periods and sell it when prices are high. The proposed strategy aims to take advantage of the price variability in order to generate extra income and consequently the operational profit by carefully adjusting charging/discharging of the BESS while satisfying the operational constraints. Twofold benefits of the strategy lie in efficient energy selling along with the constrained based optimal operation of BESS. The strategy has been analyzed for a few BESSs with a range of energy and power capacities, and income improvement over a trivial strategy is calculated. Simulation results depict the effectiveness of the proposed strategy validated with real-world wind farm data and electricity market prices.

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A2 - Ramli, Hafiz Rashidi Haruna

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A2 - Ahmad, Siti Anom

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Khalid M, Savkin AV, Agelidis VG. Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming. In Selamat H, Ramli HRH, Faudzi AAM, Rahman RZA, Ishak AJ, Soh AC, Ahmad SA, editors, 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7244620. (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015). doi: 10.1109/ASCC.2015.7244620

Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

UN SDGs

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Cite this