Optimised online adaptive frequency control of power system with renewable energy penetration

M. A. Hossain; E. Mac A. Gray; J. Lu; M. S. Alam; W. Hassan; M. Negnevitsky

doi:10.1109/ETFG55873.2023.10407742

Optimised online adaptive frequency control of power system with renewable energy penetration

M. A. Hossain^*
, E. Mac A. Gray
, J. Lu
, M. S. Alam
, W. Hassan
, M. Negnevitsky

^*Corresponding author for this work

Applied Research Center for Environment and Marine Studies

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

3 Scopus citations

Abstract

The emergence of smart grids has introduced new challenges to traditional power system control due to the increasing number of risk factors. This paper presents a parameter tuning strategy using an optimisation algorithm to optimise the weights of the objective function. This enhances the adaptive control capabilities of online supplementary control to address the complexities of power system control in smart grids and offers a promising solution for improving overall system performance. The proposed online control, based on approximate dynamic programming, operates in conjunction with an existing power system controller. The results demonstrate the effectiveness of the proposed approach in maintaining frequency within acceptable limits. Comparative studies are performed against conventional frequency control strategies to highlight the advantages of the proposed method. The findings of this study contribute to the development of efficient and adaptive frequency control strategies for power systems with high renewable energy penetration.

Original language	English
Title of host publication	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665471640
DOIs	https://doi.org/10.1109/ETFG55873.2023.10407742
State	Published - 2023
Event	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: 3 Dec 2023 → 6 Dec 2023

Publication series

Name	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Conference

Conference	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Country/Territory	Australia
City	Wollongong
Period	3/12/23 → 6/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Power system frequency control
online adaptive control
optimisation
renewable energy integration
stability

ASJC Scopus subject areas

Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ETFG55873.2023.10407742

Cite this

Hossain, M. A., Gray, E. M. A., Lu, J., Alam, M. S., Hassan, W., & Negnevitsky, M. (2023). Optimised online adaptive frequency control of power system with renewable energy penetration. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFG55873.2023.10407742

Hossain, M. A. ; Gray, E. Mac A. ; Lu, J. et al. / Optimised online adaptive frequency control of power system with renewable energy penetration. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

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title = "Optimised online adaptive frequency control of power system with renewable energy penetration",

abstract = "The emergence of smart grids has introduced new challenges to traditional power system control due to the increasing number of risk factors. This paper presents a parameter tuning strategy using an optimisation algorithm to optimise the weights of the objective function. This enhances the adaptive control capabilities of online supplementary control to address the complexities of power system control in smart grids and offers a promising solution for improving overall system performance. The proposed online control, based on approximate dynamic programming, operates in conjunction with an existing power system controller. The results demonstrate the effectiveness of the proposed approach in maintaining frequency within acceptable limits. Comparative studies are performed against conventional frequency control strategies to highlight the advantages of the proposed method. The findings of this study contribute to the development of efficient and adaptive frequency control strategies for power systems with high renewable energy penetration.",

keywords = "Power system frequency control, online adaptive control, optimisation, renewable energy integration, stability",

author = "Hossain, \{M. A.\} and Gray, \{E. Mac A.\} and J. Lu and Alam, \{M. S.\} and W. Hassan and M. Negnevitsky",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 ; Conference date: 03-12-2023 Through 06-12-2023",

year = "2023",

doi = "10.1109/ETFG55873.2023.10407742",

language = "English",

series = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023",

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

booktitle = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023",

address = "United States",

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Hossain, MA, Gray, EMA, Lu, J, Alam, MS, Hassan, W & Negnevitsky, M 2023, Optimised online adaptive frequency control of power system with renewable energy penetration. in 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, Australia, 3/12/23. https://doi.org/10.1109/ETFG55873.2023.10407742

Optimised online adaptive frequency control of power system with renewable energy penetration. / Hossain, M. A.; Gray, E. Mac A.; Lu, J. et al.
2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

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

TY - GEN

T1 - Optimised online adaptive frequency control of power system with renewable energy penetration

AU - Hossain, M. A.

AU - Gray, E. Mac A.

AU - Lu, J.

AU - Alam, M. S.

AU - Hassan, W.

AU - Negnevitsky, M.

PY - 2023

Y1 - 2023

N2 - The emergence of smart grids has introduced new challenges to traditional power system control due to the increasing number of risk factors. This paper presents a parameter tuning strategy using an optimisation algorithm to optimise the weights of the objective function. This enhances the adaptive control capabilities of online supplementary control to address the complexities of power system control in smart grids and offers a promising solution for improving overall system performance. The proposed online control, based on approximate dynamic programming, operates in conjunction with an existing power system controller. The results demonstrate the effectiveness of the proposed approach in maintaining frequency within acceptable limits. Comparative studies are performed against conventional frequency control strategies to highlight the advantages of the proposed method. The findings of this study contribute to the development of efficient and adaptive frequency control strategies for power systems with high renewable energy penetration.

AB - The emergence of smart grids has introduced new challenges to traditional power system control due to the increasing number of risk factors. This paper presents a parameter tuning strategy using an optimisation algorithm to optimise the weights of the objective function. This enhances the adaptive control capabilities of online supplementary control to address the complexities of power system control in smart grids and offers a promising solution for improving overall system performance. The proposed online control, based on approximate dynamic programming, operates in conjunction with an existing power system controller. The results demonstrate the effectiveness of the proposed approach in maintaining frequency within acceptable limits. Comparative studies are performed against conventional frequency control strategies to highlight the advantages of the proposed method. The findings of this study contribute to the development of efficient and adaptive frequency control strategies for power systems with high renewable energy penetration.

KW - Power system frequency control

KW - online adaptive control

KW - optimisation

KW - renewable energy integration

KW - stability

UR - https://www.scopus.com/pages/publications/85185797684

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DO - 10.1109/ETFG55873.2023.10407742

M3 - Conference contribution

AN - SCOPUS:85185797684

T3 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

BT - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Y2 - 3 December 2023 through 6 December 2023

ER -

Hossain MA, Gray EMA, Lu J, Alam MS, Hassan W, Negnevitsky M. Optimised online adaptive frequency control of power system with renewable energy penetration. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). doi: 10.1109/ETFG55873.2023.10407742

Optimised online adaptive frequency control of power system with renewable energy penetration

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this