Shanifa Beevi, Johnson Mathew and Vincent George
Fuzzy logic controller (FLC), instantaneous resistance (IR), maxi-mum power point tracking (MPPT), photovoltaic (PV) systems
This paper proposes a novel high-performance instantaneous resistance (IR) maximum power point tracking (MPPT) algorithm for photovoltaic systems under suddenly varying climatic conditions. The methodology is based on the slope of instantaneous power (Pinst) with respect to instantaneous resistance (Rinst), which vanishes at the maximum power point of the Pinst–Rinst characteristics. The authors present the proposed method to the basic family of conventional MPPT techniques such as perturb and observe (P&O) and incremental conductance (INC), from which other methods have been derived. Compared to these conventional techniques, this algorithm offers a better performance in terms of start-up, steady-state, and dynamic characteristics for all environmental conditions. Additionally, this algorithm has an inherent capability to fully eliminate drift without the use of additional loops and checks. This technique is also simpler than P&O and INC methods. This proposal has been validated by both simulation and experimental studies under suddenly changing climatic conditions. The performance of the proposed IR MPPT is further improved by incorporating a fuzzy logic controller.
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