LAPSE:2023.16256
Published Article

LAPSE:2023.16256
An Adaptive Load Frequency Control for Power Systems with Renewable Energy Sources
March 3, 2023
Abstract
The frequency of power systems is very sensitive to load variations. Additionally, with the increased penetration of renewable energy sources in electrical grids, stabilizing the system frequency becomes more challenging. Therefore, Load Frequency Control (LFC) is used to keep the frequency within its acceptable limits. In this paper, an adaptive controller is proposed to enhance the system performance under load variations. Moreover, the proposed controller overcomes the disturbances resulting from the natural operation of the renewable energy sources such as Wave Energy Conversion System (WECS) and Photovoltaic (PV) system. The superiority of the proposed controller compared to the classical LFC schemes is that it has auto tuned parameters. The validation of the proposed controller is carried out through four case studies. The first case study is dedicated to a two-area LFC system under load variations. The WECS is considered as a disturbance for the second case study. Moreover, to demonstrate the superiority of the proposed controller, the dynamic performance is compared with previous work based on an optimized controller in the third case study. Finally in the fourth case study, a sensitivity analysis is carried out through parameters variations in the nonlinear PV-thermal hybrid system. The novel application of the adaptive controller into the LFC leads to enhance the system performance under disturbance of different sources of renewable energy. Moreover, a robustness test is presented to validate the reliability of the proposed controller.
The frequency of power systems is very sensitive to load variations. Additionally, with the increased penetration of renewable energy sources in electrical grids, stabilizing the system frequency becomes more challenging. Therefore, Load Frequency Control (LFC) is used to keep the frequency within its acceptable limits. In this paper, an adaptive controller is proposed to enhance the system performance under load variations. Moreover, the proposed controller overcomes the disturbances resulting from the natural operation of the renewable energy sources such as Wave Energy Conversion System (WECS) and Photovoltaic (PV) system. The superiority of the proposed controller compared to the classical LFC schemes is that it has auto tuned parameters. The validation of the proposed controller is carried out through four case studies. The first case study is dedicated to a two-area LFC system under load variations. The WECS is considered as a disturbance for the second case study. Moreover, to demonstrate the superiority of the proposed controller, the dynamic performance is compared with previous work based on an optimized controller in the third case study. Finally in the fourth case study, a sensitivity analysis is carried out through parameters variations in the nonlinear PV-thermal hybrid system. The novel application of the adaptive controller into the LFC leads to enhance the system performance under disturbance of different sources of renewable energy. Moreover, a robustness test is presented to validate the reliability of the proposed controller.
Record ID
Keywords
adaptive controller, load frequency control (LFC), PV-thermal hybrid system, Wave Energy Conversion System (WECS)
Subject
Suggested Citation
Mokhtar M, Marei MI, Sameh MA, Attia MA. An Adaptive Load Frequency Control for Power Systems with Renewable Energy Sources. (2023). LAPSE:2023.16256
Author Affiliations
Mokhtar M: Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt [ORCID]
Marei MI: Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt [ORCID]
Sameh MA: Electrical Engineering Department, Future University in Egypt, Cairo 11835, Egypt [ORCID]
Attia MA: Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt [ORCID]
Marei MI: Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt [ORCID]
Sameh MA: Electrical Engineering Department, Future University in Egypt, Cairo 11835, Egypt [ORCID]
Attia MA: Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt [ORCID]
Journal Name
Energies
Volume
15
Issue
2
First Page
573
Year
2022
Publication Date
2022-01-13
ISSN
1996-1073
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Original Submission
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PII: en15020573, Publication Type: Journal Article
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LAPSE:2023.16256
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https://doi.org/10.3390/en15020573
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Mar 3, 2023
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