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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › 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
Subtitle of host publication	Results of the Second International Conference onSustainability in Energy and Buildings (SEB'10)
Editors	Jain Lakhmi, Howlett Robert, Lee Shaun
Pages	101-110
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-17387-5_11
State	Published - 2011
Externally published	Yes

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	7
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

ASJC Scopus subject areas

General Decision Sciences
General Computer Science

UN SDGs

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

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 J. Lakhmi, H. Robert, & L. Shaun (Eds.), Sustainability in Energy and Buildings: Results of the Second International Conference onSustainability in Energy and Buildings (SEB'10) (pp. 101-110). (Smart Innovation, Systems and Technologies; Vol. 7). 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 Second International Conference onSustainability in Energy and Buildings (SEB'10). editor / Jain Lakhmi ; Howlett Robert ; Lee Shaun. 2011. pp. 101-110 (Smart Innovation, Systems and Technologies).

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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 = "Smart Innovation, Systems and Technologies",

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editor = "Jain Lakhmi and Howlett Robert and Shaun, \{ Lee\}",

booktitle = "Sustainability in Energy and Buildings",

}

Khalid, M & Savkin, AV 2011, Model Predictive Control of Wind Energy Storage System for Frequency Regulation. in J Lakhmi, H Robert & L Shaun (eds), Sustainability in Energy and Buildings: Results of the Second International Conference onSustainability in Energy and Buildings (SEB'10). Smart Innovation, Systems and Technologies, vol. 7, 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 Second International Conference onSustainability in Energy and Buildings (SEB'10). ed. / Jain Lakhmi; Howlett Robert; Lee Shaun. 2011. p. 101-110 (Smart Innovation, Systems and Technologies; Vol. 7).

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

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AU - Khalid, Muhammad

AU - Savkin, Andrey V.

PY - 2011

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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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SN - 9783642173868

T3 - Smart Innovation, Systems and Technologies

SP - 101

EP - 110

BT - Sustainability in Energy and Buildings

A2 - Lakhmi, Jain

A2 - Robert, Howlett

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Khalid M, Savkin AV. Model Predictive Control of Wind Energy Storage System for Frequency Regulation. In Lakhmi J, Robert H, Shaun L, editors, Sustainability in Energy and Buildings: Results of the Second International Conference onSustainability in Energy and Buildings (SEB'10). 2011. p. 101-110. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-642-17387-5_11

Model Predictive Control of Wind Energy Storage System for Frequency Regulation

Abstract

Publication series

ASJC Scopus subject areas

UN SDGs

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