Comparison of PO and INC MPPT Methods Using FPGA In-The-Loop Under Different Radiation Conditions

Abstract

In photovoltaic (PV) systems, the Maximum Power Point Tracking (MPPT) algorithms are applied to obtain maximum efficiency under different atmospheric conditions. Among the MPPT methods, Perturb & Observe (PO) and Incremental Conductance (INC) methods are the oldest algorithms that have been used. Field Programmable Gate Arrays (FPGA) are used especially in applications requiring high speed. FPGA in-the-loop feature is used to test algorithms designed in MATLAB/Simulink environment. In this study, PO and INC methods were designed to work in FPGA environment. Both algorithms were tested under different radiation conditions by using FPGA-in-the-loop feature. The FPGA in-the-loop simulation result of PO and INC methods was shown graphically. Altera DE2-115 development board was used to test PO and INC MPPT algorithms. In addition, PO and INC methods were synthesized using the Quartus-II program. Comparisons of the simplicity of the algorithms were made based on the synthesis results. Thus, by using the FGPA in-the-loop feature and performing the synthesis process, both of the algorithms were tested and the areas covered by the algorithms in the FPGA were compared.

Design high voltage gain DC converter based on maximum power point resistance for photovoltaic applications

“…The INC method immediately calculates the duty cycle [24]. The INC algorithm receives input from the PV array's voltage and current sensors [25]. The duty ratio 𝐷 of the proposed converter is determined by this algorithm affected by changes in voltage, current, and power.…”

Optimizing PV Power Output with Higher-Voltage Modules: A Comparative Analysis with Traditional MPPT Methods

“…(1) Start the programme (2) Measure the voltage values of PV and grid and secondary of the transformer (3) Find the voltage and current values according to the irradiance level and set it as maximum value and fx the new value of secondary voltage (4) Find the ∆ value in the voltage and current parameters (5) If ∆V, ∆I, ∆V Sy � 0, then ensure the PV current and voltage equals the maximum value (6) If ∆V does not equal to zero, check the ratio of ∆ values of I and V equals to the negative value of the ratio of I and V (7) If that ratios will not equal then, compare the ∆ ratio with actual parameter ratio (8) If ∆ ratio is greater than the negative value of actual parameters ratios or the ∆ value of current is greater than zero, then increase the voltage value of PV (9) If ∆ ratio is lesser than the negative value of actual parameters ratios or the ∆ value of current is lesser than zero, then decrease the voltage value of PV (10) If the ∆ value of V Sy is not equal to zero, then add the ∆V Sy to the secondary voltage value of transformer by adding the auxiliary circuit to get the new value…”

“…Te results yield 98.3% efciency in the P&O method and 98.5% in the INC method [9]. In these same methods, the feld-programmable gate array (FPGA) was used in the high-speed test algorithm in the loop feature [10]. Te soft MPPT technique is proposed in both P&O and INC methods to solve the issue of continuous steady state oscillations [11].…”

A Sensorless MPPT Approach For PV Pumb System Used BLDC Motor

“…These atmospheric conditions are known as uniform solar radiation and partial shading conditions (PSC). Perturb&Observe (P&O), Incremental Conductivity (InC), 0.8VoC and derivatives of these methods are used extensively under uniform radiation conditions [12,13]. However, to achieve higher efficiency and lower power ripple, optimization-based MPPT algorithms such as artificial intelligence-based [14], Particle Swarm Optimization (PSO) and Gray Wolf Optimization (GWO) have been developed [15,16].…”