Research Article
Supervision Strategy of a Hybrid System PV with Storage for Injection to the Electrical Network
@INPROCEEDINGS{10.1007/978-3-030-51051-0_10, author={Amadou Ba and Alphousseyni Ndiaye and Senghane Mbodji}, title={Supervision Strategy of a Hybrid System PV with Storage for Injection to the Electrical Network}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. 4th EAI International Conference, InterSol 2020, Nairobi, Kenya, March 8-9, 2020, Proceedings}, proceedings_a={INTERSOL}, year={2020}, month={8}, keywords={ANN Battery Boost converter Buck-boost convert PVS}, doi={10.1007/978-3-030-51051-0_10} }- Amadou Ba
Alphousseyni Ndiaye
Senghane Mbodji
Year: 2020
Supervision Strategy of a Hybrid System PV with Storage for Injection to the Electrical Network
INTERSOL
Springer
DOI: 10.1007/978-3-030-51051-0_10
Abstract
In photovoltaic system (PVS) hybrid, battery are often used for energy storage in order to ensure a permanent operation. Our system consists of solar panels, a boost converter which serves as an interface between the PVS and the load, and a buck-boost converter between the battery and the load. To ensure proper operation of the system, the DC bus voltage must be maintained constant. The batteries are sensitive to overcharging and deep discharge phenomena and more PVS have a low conversion efficiency. Faced with these problems the objective of this study is to maintain constant voltage bus, optimize performance of the PVS and to control the battery state of charge and discharge. The control strategy is a combination of MPPT (Maximum Power Point Tracking) control based on artificial neural networks (ANN) and an algorithm against the battery charge state. Simulation results show that the bus voltage is hold constant with the PI and PID correctors. There is also an improvement in conversion efficiency and control of the state of battery charge.
