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Design of a Fuzzy Logic Control System for a Battery Energy Storage System in a Photovoltaic Power Plant to Enhance Frequency Stability

Author

Listed:
  • Alain Silva

    (Department of Electrical Engineering, Faculty of Electrical and Electronic Engineering, National University of Engineering, Lima 15333, Peru)

  • Mauro Amaro

    (Department of Electrical Engineering, Faculty of Electrical and Electronic Engineering, National University of Engineering, Lima 15333, Peru
    MCIA Research Center, Department of Electronic Engineering, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain)

  • Jorge Mirez

    (Group of Mathematical Modeling and Numerical Simulation, National University of Engineering, Lima 15333, Peru)

Abstract

The increasing penetration of photovoltaic (PV) generation in power systems is progressively displacing traditional synchronous generators, leading to a significant reduction in the system’s equivalent inertia. This decline undermines the system’s ability to withstand rapid frequency variations, adversely affecting its dynamic stability. In this context, battery energy storage systems (BESS) have emerged as a viable alternative for providing synthetic inertia and enhancing the system’s response to frequency disturbances. This paper proposes the design and implementation of an adaptive fuzzy logic controller aimed at frequency regulation in PV-BESS systems. The controller uses frequency deviation (Δ f ), rate of change of frequency (ROCOF), and battery state of charge (SOC) as input variables, with the objective of improving the system’s response to frequency variations. The controller’s performance was evaluated through simulations conducted in the MATLAB environment, considering various operating conditions and disturbance scenarios. The results demonstrate that the proposed controller achieves the lowest maximum frequency deviation across all analyzed scenarios when the initial SOC is 50%, outperforming other comparative methods. Finally, compliance with primary frequency regulation (PFR) was verified in accordance with the Technical Procedure PR-21 related to spinning reserve, issued by the Peruvian Committee for Economic Operation of the System.

Suggested Citation

  • Alain Silva & Mauro Amaro & Jorge Mirez, 2025. "Design of a Fuzzy Logic Control System for a Battery Energy Storage System in a Photovoltaic Power Plant to Enhance Frequency Stability," Energies, MDPI, vol. 18(17), pages 1-40, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4550-:d:1734101
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    References listed on IDEAS

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    1. N. N. Taleb & R. Douady, 2013. "Mathematical definition, mapping, and detection of (anti)fragility," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1677-1689, November.
    2. Tielens, Pieter & Van Hertem, Dirk, 2016. "The relevance of inertia in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 999-1009.
    3. Tawfiq Aljohani, 2024. "Intelligent Type-2 Fuzzy Logic Controller for Hybrid Microgrid Energy Management with Different Modes of EVs Integration," Energies, MDPI, vol. 17(12), pages 1-26, June.
    4. Arsad, A.Z. & Zuhdi, A.W. Mahmood & Azhar, A.D. & Chau, C.F. & Ghazali, A., 2025. "Advancements in maximum power point tracking for solar charge controllers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
    5. Musong L. Katche & Augustine B. Makokha & Siagi O. Zachary & Muyiwa S. Adaramola, 2023. "A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems," Energies, MDPI, vol. 16(5), pages 1-23, February.
    6. Diego Mejía-Giraldo & Gregorio Velásquez-Gomez & Nicolás Muñoz-Galeano & Juan Bernardo Cano-Quintero & Santiago Lemos-Cano, 2019. "A BESS Sizing Strategy for Primary Frequency Regulation Support of Solar Photovoltaic Plants," Energies, MDPI, vol. 12(2), pages 1-16, January.
    7. Naowarat Tephiruk & Weerawoot Kanokbannakorn & Thongchart Kerdphol & Yasunori Mitani & Komsan Hongesombut, 2018. "Fuzzy Logic Control of a Battery Energy Storage System for Stability Improvement in an Islanded Microgrid," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
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