Model predictive control of wind energy storage system for frequency regulation

Muhammad Khalid; Andrey V. Savkin

doi:10.1007/978-3-642-17387-5_11

Model predictive control of wind energy storage system for frequency regulation

Muhammad Khalid^*
, Andrey V. Savkin

^*Corresponding author for this work

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

2 Scopus citations

Abstract

This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.

Original language	English
Title of host publication	Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10
Publisher	Springer Verlag
Pages	101-110
Number of pages	10
ISBN (Print)	9783642173868
DOIs	https://doi.org/10.1007/978-3-642-17387-5_11
State	Published - 2011
Externally published	Yes

Publication series

Name	Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10

UN SDGs

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

SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

Energy Engineering and Power Technology
Building and Construction

Access to Document

10.1007/978-3-642-17387-5_11

Cite this

Khalid, M., & Savkin, A. V. (2011). Model predictive control of wind energy storage system for frequency regulation. In Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10 (pp. 101-110). (Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10). Springer Verlag. https://doi.org/10.1007/978-3-642-17387-5_11

Khalid, Muhammad ; Savkin, Andrey V. / Model predictive control of wind energy storage system for frequency regulation. Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10. Springer Verlag, 2011. pp. 101-110 (Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10).

@inproceedings{8244b4a742704d6880e7542ff26d9918,

title = "Model predictive control of wind energy storage system for frequency regulation",

abstract = "This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.",

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

year = "2011",

doi = "10.1007/978-3-642-17387-5\_11",

language = "English",

isbn = "9783642173868",

series = "Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10",

publisher = "Springer Verlag",

pages = "101--110",

booktitle = "Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10",

address = "Germany",

}

Khalid, M & Savkin, AV 2011, Model predictive control of wind energy storage system for frequency regulation. in Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10. Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10, Springer Verlag, pp. 101-110. https://doi.org/10.1007/978-3-642-17387-5_11

Model predictive control of wind energy storage system for frequency regulation. / Khalid, Muhammad; Savkin, Andrey V.
Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10. Springer Verlag, 2011. p. 101-110 (Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10).

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

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AU - Savkin, Andrey V.

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N2 - This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.

AB - This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.

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DO - 10.1007/978-3-642-17387-5_11

M3 - Conference contribution

AN - SCOPUS:84858685559

SN - 9783642173868

T3 - Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10

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BT - Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10

PB - Springer Verlag

ER -

Khalid M, Savkin AV. Model predictive control of wind energy storage system for frequency regulation. In Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10. Springer Verlag. 2011. p. 101-110. (Sustainability in Energy and Buildings - Results of the 2nd International Conference on Sustainability in Energy and Buildings, SEB'10). doi: 10.1007/978-3-642-17387-5_11

Model predictive control of wind energy storage system for frequency regulation

Abstract

Publication series

UN SDGs

ASJC Scopus subject areas

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Cite this