Table 8 Advantage and disadvantage of MPPT algorithms.
From: Hybrid fuzzy logic approach for enhanced MPPT control in PV systems
MPPT algorithms | Advantages | Disadvantages |
|---|---|---|
P&O algorithm | Presents a practical implementation It requires minimal computational resources | Can experience fluctuations in electrical output around the MPP during steady-state The choice of step size can influence the algorithm’s performance It may be slow to converge to the MPP under rapidly changing conditions |
InC algorithm | It exhibits fewer oscillations around the MPP It generally converges to the MPP more quickly than the P&O algorithm It can achieve higher precision in tracking the MPP | It may present oscillations during steady-state operation Its performance can be affected by the accuracy of measurement instruments |
Algorithm 1 | Efficiently establishes the operating point’s location concerning the MPP Demonstrates good MPP tracking performance on both sides of the MPP using \(\Delta P.\) \(\Delta P\) as a second input can enhance MPPT performance under low irradiance conditions Well-implemented fuzzy control can eliminate steady-state oscillations Can achieve higher overall MPPT performance | The P–V slope (\(\Delta P/\Delta V\) ) can become constant to the left of the MPP, hindering the algorithm’s performance |
Algorithm 2 | Accurately locates the operating point relative to the MPP Demonstrates good MPP tracking performance on the right side of the MPP The second input CE can be used to minimize oscillations around the MPP during steady-state operation | \(\Delta P/\Delta V\) can become constant to the left of the MPP, hindering the algorithm’s performance Precision around the MPP may be lower under low irradiance conditions While oscillations can be reduced, they may still persist under certain conditions, especially if the controller is optimized for a wide range of operating conditions |
Algorithm 3 | It is more efficient and easier to implement compared to previous algorithms The use of a single input variable (SInC) simplifies the control process Accurately locates the operating point relative to the MPP Demonstrates good MPP tracking performance on both sides of the MPP | Its performance can be affected by the accuracy of measurement instruments Can experience variations in electrical output around the MPP under steady-state conditions Issue division calculations |
Proposed algorithm | Easily identifies the position of the operating point relative to the MPP Demonstrates excellent MPP tracking performance on both sides of the MPP under various conditions Can achieve higher overall MPPT performance Well-implemented fuzzy control can eliminate steady-state oscillations | Its performance can be affected by the accuracy of measurement instruments Issue division calculations |
