RETRACTED ARTICLE: Investigation of different MPPT techniques based on fuzzy logic controller for multilevel DC link inverter to solve the partial shading

Abstract

Generally, partially shaded conditions frequently arise in large photovoltaic generation systems which in turn cause system losses. Therefore, arrival of multiple peak values is possible in the power-voltage characteristic curves of photovoltaic systems. Such kind of issues is resolved through the usage of novel control algorithms for multilevel dc link inverters. These algorithms depend on the arrangement of pulse width modulation and direct pulse width modulation system to be with MPPT performance based on fuzzy controller to control the multilevel DC link inverter. Under the partial shading conditions, the proposed algorithm is applied on single-phase seven-level inverter with isolated maximum power point tracking techniques. The maximum power recovery of photovoltaic sources is enabled by several maximum power point tracking (MPPT) techniques like modified perturb and observe (P&O), incremental conductance and voltage hold P&O. The spectral quality of the inverter output is observed through the simulation studies of MATLAB/Simulink working platform. Also, hardware results are verified with the help of ATMEGA8 microcontroller. Keywords Maximum power point tracking Á Fuzzy logic Á Controller Á Photovoltaic cells Á Pulse width modulation Á DC link inverter Á Perturb and observe Á Microcontroller Communicated by V. Loia.

Review of Control Strategies for DC Nano-Grid

“…The above is the basic theory of MPPT, and many artificial intelligence-based MPPT control methods have derived, such as PID-based MPPT controller (Maroufi et al, 2020), Fuzzy-Logic (FL) based MPPT controller (Veeramanikandan and Selvaperumal, 2020), Artificial-Neural-Networks (ANN) based MPPT controller (Al-Majidi et al, 2020), Genetic-Algorithms (GA) based MPPT controller (Hadji et al, 2018), and Particle-Swarm-Optimization (PSO) based MPPT controller (Merchaoui et al, 2020). The attributes that the P-V curve has a unique maximum power point located at the e(t) dP(t)/dV(t) 0.…”

Enhanced MPPT-Based Fractional-Order PID for PV Systems Using Aquila Optimizer

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