Abstract

This paper formulates a maximum power point tracking (MPPT) technique that accurately tracks the maximum power point of photovoltaic (PV), which undergoes simultaneous or independent sudden changes in load resistance and irradiance. The proposed algorithm is fundamentally divided into three parts; current and voltage perturbation algorithm (IPA/VPA), perturbation step-size reduction algorithm (PSSRA) and a deviation avoidance loop. The use of dual perturbation parameters using IPA and VPA ensures high tracking speed. PSSRA iteratively reduces the perturbation step-size of IPA and VPA and helps in reducing the power oscillations around MPP. Finally, a deviation avoidance loop is developed to detect a change in irradiance by examining the sign of the slope of the two power curves, namely P-V and P-I. The algorithm compares the per unit change in voltage and current of PV, to determine a simultaneous change in both irradiance and load resistance. The proposed algorithm is compared with two recently developed MPPT algorithms. The results show that the proposed technique can track the MPP with high speed and low steady-state oscillations and does not deviate from the MPP tracking path regardless of fast changes in irradiance and load resistance.

Highlights

  • W ITH the large scale disposal of PVs for various categories starting from home applications to satellite technologies, the output efficiency of the PVs have an essential role to play

  • The maximum power point tracking (MPPT) algorithm is programmed in a cost-effective ATMEGA-32 microcontroller of a 10-bit analog to digital converter (ADC)

  • The voltage, current and power response of the tested MPPT algorithms is traced with their ideal waveforms

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Summary

Introduction

W ITH the large scale disposal of PVs for various categories starting from home applications to satellite technologies, the output efficiency of the PVs have an essential role to play. The philosophy of maximum power point tracking (MPPT) for PVs help in achieving the goal of injecting the maximum available power to the system of interest. Among the existing MPPT techniques, hill climbing based P&O technique is most widely used due to its ease of implementation. The performance of P&O algorithm depends on Manuscript received July 23, 2020; revised November 14, 2020; accepted February 4, 2021. Date of publication February 10, 2021; date of current version August 20, 2021.

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