PSO Control under Partial Shading Conditions

  • Amira Lakhdara Department of Electrical and automatic Engineering_LGEG, 8 may1945 Guelma University, Algeria.
  • Tahar Bahi Department of Electrical LASA laboratory, Badji Mokhtar Mokhtar University, Annaba, Algeria.
  • Abdelkarim Moussaoui Lab. of Electrical Engineering, Universit√© 8 Mai 1945, BP 401, Guelma, Algeria
Keywords: Renewable Energy, Photovoltaic System, Partial shading, MPPT, Swarm Optimization


The change observed in new habits and traditions of human beings has significantly influenced the way of their current life especially in their needs for electrical energy.This has consequently increased the demand for energy, which has forced the researchers and the industrials to focus their efforts in the development of electricity production systems based on renewable energies, such as photovoltaic (PV), thermal, hydraulic, etc. In the case of the photovoltaic installations, the random change in climatic conditions is considered as a challenge for the engineers in the field. Moreover, the phenomenon of partial shading prompts scientists to suggest practical solutions to overcome it while ensuring the desired performance of the installation. The Maximum Power Point Tracking technique is considered to improve the dynamic performance of the photovoltaic system. Our contribution deals the research of a point of maximum power for a photovoltaic system, under conditions of partial shade using particle swarm optimization algorithm (PSO). The simulation of this structure under the Matlab/ Simulink environment shows that the system ensures better performance and good efficiency.

How to Cite
LakhdaraA., BahiT., & MoussaouiA. (2020). PSO Control under Partial Shading Conditions . Algerian Journal of Renewable Energy and Sustainable Development, 2(02), 126-136.