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A Comprehensive Review of Flexible Power-Point-Tracking Algorithms for Grid-Connected Photovoltaic Systems

Author

Listed:
  • Sakshi Sharma

    (Department of Electrical & Electronics Engineering, School of Engineering, University of Petroleum and Energy Studies, Dehradun 248007, India)

  • Vibhu Jately

    (Department of Electrical & Electronics Engineering, School of Engineering, University of Petroleum and Energy Studies, Dehradun 248007, India)

  • Piyush Kuchhal

    (Department of Electrical & Electronics Engineering, School of Engineering, University of Petroleum and Energy Studies, Dehradun 248007, India)

  • Peeyush Kala

    (Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad 201204, India)

  • Brian Azzopardi

    (MCAST Energy Research Group, Institute of Engineering and Transport, Malta College of Arts, Science and Technology (MCAST), Main Campus, Corradino Hill, PLA 9032 Paola, Malta
    The Foundation for Innovation and Research—Malta, 65 Design Centre Level 2, Tower Road, BKR 4012 Birkirkara, Malta)

Abstract

The rapid increase in the penetration of photovoltaic (PV) power plants results in an increased risk of grid failure, primarily due to the intermittent nature of the plant. To overcome this problem, the flexible power point tracking (FPPT) algorithm has been proposed in the literature over the maximum power point tracking (MPPT) algorithm. These algorithms regulate the PV power to a certain value instead of continuously monitoring the maximum power point (MPP). The proposed work carries out a detailed comparative study of various constant power generation (CPG) control strategies. The control strategies are categorized in terms of current-, voltage-, and power-based tracking capabilities. The comparative analysis of various reported CPG/FPPT techniques was carried out. This analysis was based on some key performance indices, such as the type of control strategy, irradiance pattern, variation in G, region of operation, speed of tracking, steady-state power oscillations, drift severity scenario, partial shading scenario, implementation complexity, stability, fast dynamic response, robustness, reactive power, cost, and tracking efficiency. Among existing FPPT algorithms, model-based control has a superior performance in terms of tracking speed and low steady-state power oscillations, with a maximum tracking efficiency of 98.57%.

Suggested Citation

  • Sakshi Sharma & Vibhu Jately & Piyush Kuchhal & Peeyush Kala & Brian Azzopardi, 2023. "A Comprehensive Review of Flexible Power-Point-Tracking Algorithms for Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 16(15), pages 1-28, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5679-:d:1205256
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    References listed on IDEAS

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    1. Chinchilla, M. & Arnalte, S. & Burgos, J.C. & Rodríguez, J.L., 2006. "Power limits of grid-connected modern wind energy systems," Renewable Energy, Elsevier, vol. 31(9), pages 1455-1470.
    2. Jately, V. & Arora, S., 2017. "Development of a dual-tracking technique for extracting maximum power from PV systems under rapidly changing environmental conditions," Energy, Elsevier, vol. 133(C), pages 557-571.
    3. Hou, Guolian & Ke, Yin & Huang, Congzhi, 2021. "A flexible constant power generation scheme for photovoltaic system by error-based active disturbance rejection control and perturb & observe," Energy, Elsevier, vol. 237(C).
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