Abstract

Because of the unpredictable activity of solar energy sources, photovoltaic (PV) maximum power point tracking (MPPT) is essential to guarantee the continuous operation of electrical energy generation at optimal power levels. Several works have extensively examined the generation of the maximum power from the PV systems under normal and shading conditions. The fuzzy logic control (FLC) method is one of the effective MPPT techniques, but it needs to be adapted to work in partial shading conditions. The current paper presents the FLC-based on dynamic safety margin (DSM) as an MPPT technique for a PV system to overcome the limitations of FLC in shading conditions. The DSM is a performance index that measures the system state deviation from the normal situation. As a performance index, DSM is used to adapt the FLC controller output to rapidly reach the global maxima of the PV system. The ability of the proposed algorithm and its performance are evaluated using simulation and practical implementation results for single phase grid-connected PV system under normal and partial shading operating conditions.

Highlights

  • The main two factors motivating energy demand are the population and financial growth

  • There is a considerable difference in the total output power for the fuzzy logic control (FLC) based on dynamic safety margin (DSM) compared to the normal FLC in the case of multiple modules

  • A robust and fast maximum power point tracking (MPPT) technique is necessary for a PV system to generate the maximum allowable power in case of environmental conditions and load variations

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Summary

Introduction

The main two factors motivating energy demand are the population and financial growth. Most of them depend on a power-voltage (P-V) scan of the PV and store the state at each observed shading condition Other methods such as partial swarm optimization (PSO) [14,15], Harris hawk optimization [16], bat algorithm [17], or implementing soft computing optimization techniques [10,18] have been proposed before. The adaptation of FLC for MPPT is addressed in [21] by adjusting the FLC output based on the deviation of the PV voltage and nominal open circuit voltage, VOC This technique is simple and robust, but it fails in some situations to work effectively under partial shading.

Partial Shading Mode
The Proposed MPPT Algorithm
FLC Employing DSM
Case Study
Simulation Results
FLC Configuration
DSM Computation
MPPT Algorithm Results
Practical Case Study
Conclusions
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