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Wind Farms and Flexible Loads Contribution in Automatic Generation Control: An Extensive Review and Simulation

Author

Listed:
  • Kaleem Ullah

    (Center for Advanced Study in Energy, University of Engineering and Technology Peshawar, Peshawar 25000, Pakistan)

  • Zahid Ullah

    (Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy)

  • Sheraz Aslam

    (Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol 3036, Cyprus
    Department of Computer Science, CTL Eurocollege, Limassol 3077, Cyprus)

  • Muhammad Salik Salam

    (Department of Computer Science, University of Alabama at Birmingham, Birmingham, AL 35294, USA)

  • Muhammad Asjad Salahuddin

    (Department of Computer Science, University of Alabama at Birmingham, Birmingham, AL 35294, USA)

  • Muhammad Farooq Umer

    (Department of Computer Science, University of Alabama at Birmingham, Birmingham, AL 35294, USA)

  • Mujtaba Humayon

    (Department of Computer Science, University of Alabama at Birmingham, Birmingham, AL 35294, USA)

  • Haris Shaheer

    (Department of Information Technology, University of the Cumberlands, Williamsburg, KY 40769, USA)

Abstract

With the increasing integration of wind energy sources into conventional power systems, the demand for reserve power has risen due to associated forecasting errors. Consequently, developing innovative operating strategies for automatic generation control (AGC) has become crucial. These strategies ensure a real-time balance between load and generation while minimizing the reliance on operating reserves from conventional power plant units. Wind farms exhibit a strong interest in participating in AGC operations, especially when AGC is organized into different regulation areas encompassing various generation units. Further, the integration of flexible loads, such as electric vehicles and thermostatically controlled loads, is considered indispensable in modern power systems, which can have the capability to offer ancillary services to the grid through the AGC systems. This study initially presents the fundamental concepts of wind power plants and flexible load units, highlighting their significant contribution to load frequency control (LFC) as an important aspect of AGC. Subsequently, a real-time dynamic dispatch strategy for the AGC model is proposed, integrating reserve power from wind farms and flexible load units. For simulations, a future Pakistan power system model is developed using Dig SILENT Power Factory software (2020 SP3), and the obtained results are presented. The results demonstrate that wind farms and flexible loads can effectively contribute to power-balancing operations. However, given its cost-effectiveness, wind power should be operated at maximum capacity and only be utilized when there is a need to reduce power generation. Additionally, integrating reserves from these sources ensures power system security, reduces dependence on conventional sources, and enhances economic efficiency.

Suggested Citation

  • Kaleem Ullah & Zahid Ullah & Sheraz Aslam & Muhammad Salik Salam & Muhammad Asjad Salahuddin & Muhammad Farooq Umer & Mujtaba Humayon & Haris Shaheer, 2023. "Wind Farms and Flexible Loads Contribution in Automatic Generation Control: An Extensive Review and Simulation," Energies, MDPI, vol. 16(14), pages 1-34, July.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5498-:d:1198405
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    References listed on IDEAS

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    1. Neofytos Neofytou & Konstantinos Blazakis & Yiannis Katsigiannis & Georgios Stavrakakis, 2019. "Modeling Vehicles to Grid as a Source of Distributed Frequency Regulation in Isolated Grids with Significant RES Penetration," Energies, MDPI, vol. 12(4), pages 1-23, February.
    2. Kaleem Ullah & Abdul Basit & Zahid Ullah & Sheraz Aslam & Herodotos Herodotou, 2021. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview," Energies, MDPI, vol. 14(9), pages 1-43, April.
    3. Abdul Basit & Tanvir Ahmad & Asfand Yar Ali & Kaleem Ullah & Gussan Mufti & Anca Daniela Hansen, 2019. "Flexible Modern Power System: Real-Time Power Balancing through Load and Wind Power," Energies, MDPI, vol. 12(9), pages 1-15, May.
    4. Guille, Christophe & Gross, George, 2009. "A conceptual framework for the vehicle-to-grid (V2G) implementation," Energy Policy, Elsevier, vol. 37(11), pages 4379-4390, November.
    5. Sekyung Han & Soohee Han, 2013. "Economic Feasibility of V2G Frequency Regulation in Consideration of Battery Wear," Energies, MDPI, vol. 6(2), pages 1-18, February.
    6. Kaleem Ullah & Abdul Basit & Zahid Ullah & Rafiq Asghar & Sheraz Aslam & Ayman Yafoz, 2022. "Line Overload Alleviations in Wind Energy Integrated Power Systems Using Automatic Generation Control," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    7. Bhatt, Praghnesh & Ghoshal, S.P. & Roy, Ranjit, 2012. "Coordinated control of TCPS and SMES for frequency regulation of interconnected restructured power systems with dynamic participation from DFIG based wind farm," Renewable Energy, Elsevier, vol. 40(1), pages 40-50.
    8. Bhatt, Praghnesh & Roy, Ranjit & Ghoshal, S.P., 2011. "Dynamic participation of doubly fed induction generator in automatic generation control," Renewable Energy, Elsevier, vol. 36(4), pages 1203-1213.
    9. Rafiq Asghar & Zahid Ullah & Babar Azeem & Sheraz Aslam & Muhammad Harris Hashmi & Ehtsham Rasool & Bilawal Shaker & Muhammad Junaid Anwar & Kainat Mustafa, 2022. "Wind Energy Potential in Pakistan: A Feasibility Study in Sindh Province," Energies, MDPI, vol. 15(22), pages 1-23, November.
    10. Kaleem Ullah & Abdul Basit & Zahid Ullah & Fahad R. Albogamy & Ghulam Hafeez, 2022. "Automatic Generation Control in Modern Power Systems with Wind Power and Electric Vehicles," Energies, MDPI, vol. 15(5), pages 1-24, February.
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    Cited by:

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    2. Antonella R. Finamore & Vito Calderaro & Vincenzo Galdi & Giuseppe Graber & Lucio Ippolito & Gaspare Conio, 2023. "Improving Wind Power Generation Forecasts: A Hybrid ANN-Clustering-PSO Approach," Energies, MDPI, vol. 16(22), pages 1-14, November.
    3. Busiswe Skosana & Mukwanga W. Siti & Nsilulu T. Mbungu & Sonu Kumar & Willy Mulumba, 2023. "An Evaluation of Potential Strategies in Renewable Energy Systems and Their Importance for South Africa—A Review," Energies, MDPI, vol. 16(22), pages 1-27, November.

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