Experimental Investigation of Incremental Conductance-based MPPT for PV Arrays

Swanepoel, Nathan Chris; Richards, Coneth Graham; Okojie, Daniel E.; Ehlers, P.J.; Nnachi, Agha Francis

doi:10.1109/powerafrica49420.2020.9219982

Cited by 1 publication

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Solar energy is getting more popular and of interest at the level of renewable energy source category because photovoltaic (PV) modules and systems have low maintenance costs, and quiet in terms of the noise and can range in size from large kilo-watts to very few milli-watts allowing for efficient integration into our current environment [1], [2], [3]. As a result, the PV energy's amounts generated and produced are rising and getting a noteworthy part for both the industrial and domestic subdivisions.…”

Section: Introductionmentioning

confidence: 99%

Optimizing The Maximum Power of Photovoltaic System Using Modified Incremental Conductance Algorithm Operating Under Varying Dynamic Climatic Conditions

M. Elzein,

Kurdi,

Harrye

2024

IJCDS

View full text Add to dashboard Cite

In a photovoltaic system the challenge is to contentiously searching for the maximum power point to generate the maximum power (Pmax) within the system. In this study a hybrid maximum power point tracking module (MPPT) consisting of a well-known incremental conductance algorithm (INC) is being adapted to operate along with fuzzy logic controller (FLC). The new design focused on applying variable voltage step size estimations based on analyzing the degree of incremental and decremental of power to voltage relation. To achieve this, five effective regions were introduced around the maximum PV power point and FLC controlled the tunning and accurate adjustments of the duty ratio cycle step size by relying on the inputs of fuzzy logic controller to reach a zero oscillation around the MPP point. To adjust the duty cycle step size, fuzzy logic is established based on the position of the fuzzy input points which are derived from the current and voltage proportions and their derivatives, whereas the membership functions and rules are shaped. Matlab simulations were used under different irradiance levels to test the efficiency of tracking the maximum power. Based on the simulated results, the integration of fuzzy logic controller with incremental conductance algorithm provided enhanced performance in tracking the Pmax, and notable fast convergence time and provided the least oscillation around the maximum power point and thus maintained the overall tracking accuracy, and applying the proper step size to drive the operating point at the P-V curve in reaching Pmax under the effects of various environmental dynamic changes in temperature and irradiance.

show abstract

Section: Introductionmentioning

confidence: 99%