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Reserve Allocation of Photovoltaic Systems to Improve Frequency Stability in Hybrid Power Systems

Author

Listed:
  • Mehdi Tavakkoli

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland)

  • Jafar Adabi

    (Faculty of Electrical and Computer Engineering, Babol (Noshirvani) University of Technology, Babol PO Box 484, Iran)

  • Sasan Zabihi

    (ABB 54 Export Drive, Darwin Business Park, Darwin 0828, Australia)

  • Radu Godina

    (C-MAST, University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilhã, Portugal)

  • Edris Pouresmaeil

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland)

Abstract

This study suggests a model to include a solar power system or photovoltaic system (PV) in the control of frequency by taking into account a percentage of the PV power production for back-up reserve. This is done by investigating two scenarios: PV contribution in (1) initial primary frequency control and (2) entire primary frequency control. As explained in section three, 10% power of the PV modules which receive more than 400 w/m 2 irradiation is allocated for the power reserve. The power generation of photovoltaic systems depends largely on weather conditions which makes their output power associated with some degree of uncertainty. For this reason, in this paper, a PV system is considered along with conventional hydro and thermal units and they are modeled in MATLAB/Simulink (version 9.3, MathWorks, Natick, MA, USA) with the purpose of exploring the behavior of the intended method. In the next phase, for further studies, this system is extended to multi-area power systems including gas turbines. The results of the simulation demonstrated that the photovoltaic involvement in the control of frequency can successfully amend the frequency of the overall network. Not only it can decrease the overshoot and undershoot of the frequency response, it has the ability to improve the settling time as well, which helps the system reach the steady state easily and in shorter time. Specifically, the overshoot has reached nearly zero in both one area and two area systems and undershoot has declined up to 60% and 50% in the one area and two-area system, respectively. Considering settling time, while it had a negligible improvement in the one area system, it showed a remarkable enhancement in the two-area system, which improved from about 25 s to 6 s by using the proposed method.

Suggested Citation

  • Mehdi Tavakkoli & Jafar Adabi & Sasan Zabihi & Radu Godina & Edris Pouresmaeil, 2018. "Reserve Allocation of Photovoltaic Systems to Improve Frequency Stability in Hybrid Power Systems," Energies, MDPI, vol. 11(10), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2583-:d:172444
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    References listed on IDEAS

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    3. Jishu Mary Gomez & Prabhakar Karthikeyan Shanmugam, 2022. "Flexible Power Point Tracking Using a Neural Network for Power Reserve Control in a Grid-Connected PV System," Energies, MDPI, vol. 15(21), pages 1-17, November.
    4. Xilin Zhao & Zhenyu Lin & Bo Fu & Li He & Na Fang, 2018. "Research on Automatic Generation Control with Wind Power Participation Based on Predictive Optimal 2-Degree-of-Freedom PID Strategy for Multi-area Interconnected Power System," Energies, MDPI, vol. 11(12), pages 1-17, November.
    5. Lei Liu & Hidehito Matayoshi & Mohammed Elsayed Lotfy & Manoj Datta & Tomonobu Senjyu, 2018. "Load Frequency Control Using Demand Response and Storage Battery by Considering Renewable Energy Sources," Energies, MDPI, vol. 11(12), pages 1-40, December.
    6. Jiafeng Ren & Haifeng Liang & Yajing Gao, 2019. "Research on Evaluation of Power Supply Capability of Active Distribution Network with Distributed Power Supply with High Permeability," Energies, MDPI, vol. 12(11), pages 1-17, June.
    7. Ana Fernández-Guillamón & Antonio Vigueras-Rodríguez & Emilio Gómez-Lázaro & Ángel Molina-García, 2018. "Fast Power Reserve Emulation Strategy for VSWT Supporting Frequency Control in Multi-Area Power Systems," Energies, MDPI, vol. 11(10), pages 1-20, October.
    8. Ancheng Xue & Jiehao Cui & Jiawei Wang & Joe H. Chow & Lei Yue & Tianshu Bi, 2018. "A New Transient Frequency Acceptability Margin Based on the Frequency Trajectory," Energies, MDPI, vol. 12(1), pages 1-18, December.
    9. Arzhang Yousefi-Talouki & Shaghayegh Zalzar & Edris Pouresmaeil, 2019. "Direct Power Control of Matrix Converter-Fed DFIG with Fixed Switching Frequency," Sustainability, MDPI, vol. 11(9), pages 1-15, May.

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