Author(s)

Bognini Y. Lucien^1*, Jean B. Byiringiro², Bernard Zouma³, Bognini W. Abraham⁴

¹Génie énergétique et énergie renouvelable, Distance Production House University, Ouagadougou, Burkina Faso.
²DeKUT SIEMENS Mechatronics Certification Center, Dedan Kimathi University of Technology, Nyeri, Kenya.
³University of Ouagadougou, Ouagadougou, Burkina Faso.
⁴Génie industriel et efficacité énergétique, Distance Production House University, Ouagadougou, Burkina Faso.

The study PV/diesel system is a stand-alone microgrid powered by the PV/diesel combination without production storage. The study focused on optimising PV/diesel production by monitoring data. It also referred to a comparison of sensitive factors in PV/diesel production. This study implemented structural and non-structural factors of the said system. A literature search was conducted to determine the factors involved. So, factors such as system autonomy, energy quality, system stability and data monitoring were considered for the study. Thus, after a detailed presentation of the data monitoring, a comparison based on the method, Analysis of Failure Modes, their Effects and Criticalities (FMEA) was carried out. At the end of the comparison, a hierarchy of parameters in the exploitation of the energy production of autonomous microgrids was made. From its results, it emerges a good consideration of the factor “data monitoring” in the management of the system studied. The results obtained confirm the importance of data monitoring for a better optimization of energy production. A monitoring program or procedure has been developed according to the originality that the present study has identified. The study also made it possible to evaluate the performance of data monitoring for the energy production of photovoltaic systems in general and hybrid PV/diesel systems in particular.

Microgrid, Data Monitoring, Criticality

Lucien, B. , Byiringiro, J. , Zouma, B. and Abraham, B. (2022) Optimization of PV/Diesel Production through Data Monitoring. Energy and Power Engineering, 14, 477-490. doi: 10.4236/epe.2022.149025.