Limits control and energy saturation management for DC bus regulation in photovoltaic systems with battery storage

•Typical DC microgrid configuration uses two operation modes: normal and saturated.•This design problem implies a large-scale of photovoltaic-battery system applications.•Saturation management strategy involves dissipation system and regenerative break.•Power balance control ensures the energy distr...

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Veröffentlicht in:Solar energy 2020-11, Vol.211, p.1301-1310
Hauptverfasser: Assem, Houria, Azib, Toufik, Bouchafaa, Farid, Hadj Arab, Amar, Laarouci, Cherif
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Sprache:eng
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Zusammenfassung:•Typical DC microgrid configuration uses two operation modes: normal and saturated.•This design problem implies a large-scale of photovoltaic-battery system applications.•Saturation management strategy involves dissipation system and regenerative break.•Power balance control ensures the energy distribution available from sources to load.•The control includes two methods: maximum power point tracking and power load tracking. Because of the considerable fluctuations of the power generation and load in Photovoltaic (PV) - Battery (BAT) systems, power management strategies become indispensable since BAT is needed to maintain the generation/load balance, and to regulate the DC bus. Indeed, energy management strategies must take into account the limits of the system, i.e. the nominal PV/BAT power rating and the state of charge (SOC) of BAT. However, the actual use might be different from the intended one, forcing the system to attain its limits. This paper is mainly focused on the limits control and energy saturation management applying to a sample standalone DC micro grid. It consists to share accurately the variable power loads among sources according to their ratings, including the regenerative breaking in minimum SOC'BAT case and the full supply of power load demand in maximum SOC'BAT case. Furthermore, the DC bus voltage is regulated to its predefined level, as a design parameter. The proposed control algorithms are detailed, and the system design during overstress and nominal conditions is given. The main advantage of this algorithm is its simplicity. The efficiency of the control strategy for energy saturation management is verified and analyzed through simulation/experimental system using Matlab/Simulink and DSpace. The results obtained show that the proposed technique can intelligently manage the energy flows and thus ensure that the system operates correctly and safely in the different modes: normal mode and saturated mode.
ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2020.10.061