Comparative study of MPPT algorithms under variable resistive load

Efficiency of Photovoltaic Maximum Power Point Tracking Controller Based on a Fuzzy Logic

“…This work is an extension of work originally presented in 2016 International Conference on Applied and Theoretical Electricity (ICATE) [1]. In this paper, the efficiency of FLC-based MPPT for the PV system is examined under variable climate conditions (irradiation and temperature) and variable values of connected resistive load.…”

“…Id and IRsh are the parallel currents through the diode and parallel resistance Rsh, respectively. Io is the cell's reverse saturation current, also known as the "dark current", q is the electron charge (1.602×10 -19 C), n is the diode ideality factor of a value is between 1 and 2, K is the Boltzmann's constant (1.381×10 -23 J/K), T is the PV cell temperature (K), and Ns is the number of series-connected solar cells to organize the utilized PV module [1,8,9]. In this paper, the BP SX150S PV of Ns =72 cells is utilized to produce a peak power output of 150 W at standard technical condition (STC).…”

“…Secondly, to maintain the matching between the PV optimal impedance (Ropt) and the connected load impedance (RL), consequently, a maximum power transfer between the PV module and the load can be obtained. The DC-DC converter uses the duty cycle control signal produced by the MPPT algorithm [1].…”

“…In [1], the FLC based MPPT is proposed to track the MPP at standard technical condition (STC) and variable resistive load. Where, the change in duty cycle (ΔD) was used as an FLC's output to adjust the duty cycle (D) of the DC-DC converter, in order to meet the load matching between the PV module and the connected resistive load.…”

“…In the last years, many MPPT techniques have been proposed to track the MPP of the PV module [1][2][3][4][5][6]. In [1], the FLC based MPPT is proposed to track the MPP at standard technical condition (STC) and variable resistive load.…”