@proceedings {7268,
	title = {Analysis and Design of Modified Incremental Conductance-Based MPPT Algorithm for Photovoltaic System},
	journal = {International Conference on Artificial Intelligence in Renewable Energetic Systems (IC-AIRES{\textquoteright}21)},
	year = {2021},
	address = {Adrar, Algeria},
	abstract = {
	This study discusses the design of the Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV) systems employing a modified incremental conductance (IncCond) algorithm to extract maximum power from a PV module. A PV module, a DC-DC converter, and a resistive load constitute the PV system. In the scientific literature, it is well-documented that typical MPPT algorithms have significant drawbacks, such as fluctuations around the MPP and poor tracking during a sudden change in atmospheric conditions. To solve the deficiencies of conventional methodology, a novel modified IncCond method is proposed in this study. The simulation results demonstrate that the updated IncCond algorithm presented allows for less oscillation around the maximum power point (MPP), a rapid dynamic response, and superior performance.

},
	url = {https://revue.cder.dz/index.php/rer/article/view/1081},
	author = {Hadjidj, Nadjiha~ and Benbrahim, Meriem and Ounnas, Djamel and Mouss, Leila-Hayet}
}
