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

Sakshi Sharma, Vibhu Jately (), Piyush Kuchhal, Peeyush Kala () and Brian Azzopardi
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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

Energies, 2023, vol. 16, issue 15, 1-28

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%.

Keywords: PV system; flexible power point tracking; constant power generation; power curtailment; active power control; maximum power point tracking (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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