TY - JOUR
T1 - Adaptive Multi-Mode Single-Step Power Tracking for Microinverter-Based Photovoltaic System
AU - Mathew, Derick
AU - Ram, J. Prasanth
AU - Ha, Jihun
AU - Park, Jung Wook
AU - Kim, Young Jin
N1 - Publisher Copyright:
© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Adaptive multi-mode single-step power tracking (AMSPT)
KW - microinverter
KW - photovoltaic (PV)
KW - power oscillation
KW - settling time
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U2 - 10.1109/TSTE.2024.3434493
DO - 10.1109/TSTE.2024.3434493
M3 - Article
AN - SCOPUS:85199536983
SN - 1949-3029
VL - 15
SP - 2651
EP - 2662
JO - IEEE Transactions on Sustainable Energy
JF - IEEE Transactions on Sustainable Energy
IS - 4
ER -