
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
