Adaptive Multi-Mode Single-Step Power Tracking for Microinverter-Based Photovoltaic System

The conventional de-load power tracking algorithm, utilizing a perturb and observe method, manifests deficiencies in terms of speed, stability, and efficacy in identifying operating points within the inverter's voltage range. In this article, the Adaptive Multi-Mode Single-Step Power Tracking (...

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Bibliographic Details
Published in:IEEE transactions on sustainable energy 2024-10, Vol.15 (4), p.2651-2662
Main Authors: Mathew, Derick, Ram, J. Prasanth, Ha, Jihun, Park, Jung-Wook, Kim, Young-Jin
Format: Article
Language:English
Subjects:
Adaptability
Adaptive multi-mode single-step power tracking (AMSPT)
Algorithms
Electric potential
Fluctuations
Inverters
Irradiation
Maximum power point trackers
microinverter
Oscillators
photovoltaic (PV)
Photovoltaic cells
Photovoltaic systems
Photovoltaics
power oscillation
Radiation effects
Settling behavior
settling time
Short-circuit currents
Solar energy
Solar radiation
Stability
Theoretical analysis
Tracking
Voltage
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Summary:The conventional de-load power tracking algorithm, utilizing a perturb and observe method, manifests deficiencies in terms of speed, stability, and efficacy in identifying operating points within the inverter's voltage range. In this article, the Adaptive Multi-Mode Single-Step Power Tracking (AMSPT) algorithm is introduced, showcasing rapid adaptability to varying solar irradiation conditions, while mitigating energy losses and enhancing overall operational stability. Its key innovation lies in efficiently pinpointing the operating point within the inverter's specified voltage range through a single step. Upon achieving the desired operating point, the algorithm promptly suppresses oscillatory behavior, expediting the settling process and minimizing deviations around the set-point. This article substantiates the superiority of the AMSPT algorithm over existing methods, showcasing remarkable advancements in tracking accuracy, power fluctuations, and energy discrepancies across diverse PV system case studies. Comprehensive validation through theoretical analysis, simulations, and experimental setups meticulously confirms the claimed benefits of the proposed method.
ISSN:1949-3029
1949-3037
DOI:10.1109/TSTE.2024.3434493