Abstract
Solar photovoltaic (PV) systems are attracting a huge focus in the current energy scenario. Various maximum power point tracking (MPPT) methods are used in solar PV systems in order to achieve maximum power. In this article, a clear analysis of conventional MPPT techniques such as variable step size perturb and observe (VSS-P&O), modified incremental conductance (MIC), fractional open circuit voltage (FOCV) has been carried out. In addition, the soft computing MPPT techniques such as fixed step size radial basis functional algorithm (FSS-RBFA), variable step size radial basis functional algorithm (VSS-RBFA), adaptive fuzzy logic controller (AFLC), particle swarm optimization (PSO), and cuckoo search (CS) MPPT techniques are presented along with their comparative analysis. The comparative analysis is done under static and dynamic irradiation conditions by considering algorithm complexity, tracking speed, oscillations at MPP, and sensing parameters. The single-diode model PV panel and double-diode model PV panel are also compared in terms of fill factor (FF) and maximum power extraction. Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.
Highlights
Due to the depletion of fossil fuels and the increment in energy demand, a new era has begun with a huge welcome for renewable energy sources (RESs) all over the world
variable step size perturb and observe (VSS-perturb and observe (P&O)), modified incremental conductance (MIC), fractional open circuit voltage (FOCV), FSS-RBFA, VSS-RBFA, adaptive fuzzy logic controller (AFLC), particle swarm optimization (PSO), and cuckoo search (CS) maximum power point tracking (MPPT) techniques are applied to the PV-fed boost converter to extract the peak power of a solar PV system
The implementation complexity of VSS-P&O and FOCV was easy as compared with the MIC MPPT techniques and the implementation complexity of PSO and CS was high as compared with FSS-RBFA and VSS-RBFA
Summary
Due to the depletion of fossil fuels and the increment in energy demand, a new era has begun with a huge welcome for renewable energy sources (RESs) all over the world. Other conventional MPPT techniques such as perturb and observe (P&O) [31], incremental conductance (IC) [32], hill climb (HC) [33], state flow [34], Kalman filter [35], adaptive IC [36], ripple correlation (RC) [37], (dP/dI) variation of power with respect to current or power/voltage (dP/dV) feedback control [38], slider controller [39] and incremental resistance (INR) [40] are applicable for low, as well as high, power application where higher accuracy in MPP tracking is needed. 2020, 13, x explains that the fuzzy MPPT technique is the most popular technique to track MPP of 27 and it does not require any mathematical equation computations to solve the nonlinearity issues It works for both precise and imprecise input functions as compared.
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