Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems

Tobias Heins; Paula Chanfreut; Sriram Karthik Gurumurthy; Priyank Srivastava; Antonello Monti; Anuradha M. Annaswamy

doi:10.1109/SmartGridComm57358.2023.10333904

Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems

Tobias Heins
, Paula Chanfreut
, Sriram Karthik Gurumurthy
, Priyank Srivastava
, Antonello Monti
, Anuradha M. Annaswamy

Group Heemels

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

1 Citation (Scopus)

16 Downloads (Pure)

Abstract

The increasing number of distributed generation in the power system raises the need for fast and scalable distributed control algorithms. This paper proposes a distributed model predictive control for secondary frequency control that models the dynamics within a grid area in detail while considering the dynamics of other areas through a system equivalent. Consistency of the control solution is ensured by the distributed optimization algorithm. The controller adapts to changing system conditions through the measurement of the equivalent system impedance at the boundary bus. A measurement using a wideband-frequency impedance device followed by complex-curve fitting is used to extract the transfer function of the grid impedance. Furthermore, only aggregated information from other grid areas is required by the algorithm, reducing vulnerability and increasing the privacy of each area. The performance of the distributed model predictive controller is verified through numerical simulations.

Original language	English
Title of host publication	2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	7
ISBN (Electronic)	978-1-6654-5556-5
DOIs	https://doi.org/10.1109/SmartGridComm57358.2023.10333904
Publication status	Published - 6 Dec 2023
Event	14th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023 - Glasgow, United Kingdom Duration: 31 Oct 2023 → 3 Nov 2023

Conference

Conference	14th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023
Country/Territory	United Kingdom
City	Glasgow
Period	31/10/23 → 3/11/23

Keywords

Distributed Control
Frequency Control
Frequency Divider
Impedance Estimation
Model Predictive Control

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10.1109/SmartGridComm57358.2023.10333904

pdfFinal published version, 2.47 MBLicence: TAVERNE

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Heins, T., Chanfreut, P., Gurumurthy, S. K., Srivastava, P., Monti, A., & Annaswamy, A. M. (2023). Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems. In 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023 Article 10333904 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SmartGridComm57358.2023.10333904

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title = "Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems",

abstract = "The increasing number of distributed generation in the power system raises the need for fast and scalable distributed control algorithms. This paper proposes a distributed model predictive control for secondary frequency control that models the dynamics within a grid area in detail while considering the dynamics of other areas through a system equivalent. Consistency of the control solution is ensured by the distributed optimization algorithm. The controller adapts to changing system conditions through the measurement of the equivalent system impedance at the boundary bus. A measurement using a wideband-frequency impedance device followed by complex-curve fitting is used to extract the transfer function of the grid impedance. Furthermore, only aggregated information from other grid areas is required by the algorithm, reducing vulnerability and increasing the privacy of each area. The performance of the distributed model predictive controller is verified through numerical simulations.",

keywords = "Distributed Control, Frequency Control, Frequency Divider, Impedance Estimation, Model Predictive Control",

author = "Tobias Heins and Paula Chanfreut and Gurumurthy, \{Sriram Karthik\} and Priyank Srivastava and Antonello Monti and Annaswamy, \{Anuradha M.\}",

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booktitle = "2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023",

publisher = "Institute of Electrical and Electronics Engineers",

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note = "14th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023 ; Conference date: 31-10-2023 Through 03-11-2023",

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Heins, T, Chanfreut, P, Gurumurthy, SK, Srivastava, P, Monti, A & Annaswamy, AM 2023, Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems. in 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023., 10333904, Institute of Electrical and Electronics Engineers, 14th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023, Glasgow, United Kingdom, 31/10/23. https://doi.org/10.1109/SmartGridComm57358.2023.10333904

Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems. / Heins, Tobias; Chanfreut, Paula; Gurumurthy, Sriram Karthik et al.
2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023. Institute of Electrical and Electronics Engineers, 2023. 10333904.

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

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T1 - Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems

AU - Heins, Tobias

AU - Chanfreut, Paula

AU - Gurumurthy, Sriram Karthik

AU - Srivastava, Priyank

AU - Monti, Antonello

AU - Annaswamy, Anuradha M.

PY - 2023/12/6

Y1 - 2023/12/6

N2 - The increasing number of distributed generation in the power system raises the need for fast and scalable distributed control algorithms. This paper proposes a distributed model predictive control for secondary frequency control that models the dynamics within a grid area in detail while considering the dynamics of other areas through a system equivalent. Consistency of the control solution is ensured by the distributed optimization algorithm. The controller adapts to changing system conditions through the measurement of the equivalent system impedance at the boundary bus. A measurement using a wideband-frequency impedance device followed by complex-curve fitting is used to extract the transfer function of the grid impedance. Furthermore, only aggregated information from other grid areas is required by the algorithm, reducing vulnerability and increasing the privacy of each area. The performance of the distributed model predictive controller is verified through numerical simulations.

AB - The increasing number of distributed generation in the power system raises the need for fast and scalable distributed control algorithms. This paper proposes a distributed model predictive control for secondary frequency control that models the dynamics within a grid area in detail while considering the dynamics of other areas through a system equivalent. Consistency of the control solution is ensured by the distributed optimization algorithm. The controller adapts to changing system conditions through the measurement of the equivalent system impedance at the boundary bus. A measurement using a wideband-frequency impedance device followed by complex-curve fitting is used to extract the transfer function of the grid impedance. Furthermore, only aggregated information from other grid areas is required by the algorithm, reducing vulnerability and increasing the privacy of each area. The performance of the distributed model predictive controller is verified through numerical simulations.

KW - Distributed Control

KW - Frequency Control

KW - Frequency Divider

KW - Impedance Estimation

KW - Model Predictive Control

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DO - 10.1109/SmartGridComm57358.2023.10333904

M3 - Conference contribution

AN - SCOPUS:85180800247

BT - 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023

PB - Institute of Electrical and Electronics Engineers

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Heins T, Chanfreut P, Gurumurthy SK, Srivastava P, Monti A, Annaswamy AM. Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems. In 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023. Institute of Electrical and Electronics Engineers. 2023. 10333904 doi: 10.1109/SmartGridComm57358.2023.10333904

Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems

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