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Intelligent voltage control in a DC micro-grid containing PV generation and energy storage
This paper proposes an intelligent control scheme for DC voltage regulationin a DC micro-grid integrating photovoltaic (PV) generation, energy storage and electric loads. The maximum power generation of the PV panel is followed using the incremental conductance (IC) maximum power point tracking (MPPT) algorithm while a high-performance local linear controller (LLC)is developed for the DC voltage control in the micro-grid.The LLC, as a data-driven control strategy, controls the bidirectional converter located between the battery and the DC micro-grid to regulate the micro-grid's voltage at the specified reference value.In order to validate the controller different simulations including variations in the load and in the solar irradiance are performed. Finally a comparison with PI based controller demonstrates the advantages of the proposed control technique for regulating theDC micro-grid's voltage. Peer Reviewed
- University of Tehran Iran (Islamic Republic of)
- Universitat Polite`cnica de Catalunya Spain
- University of Barcelona Spain
- University of Tehran Iran (Islamic Republic of)
- Universitat Politècnica de Catalunya Spain
DC micro-grid, Energy storage, Energia -- Emmagatzematge, Photovoltaic power generation, DC voltage control, Maximum power point tracking, Local linear control, :Energies::Energia elèctrica [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Energies::Energia elèctrica, Energia elèctrica, Battery storage, Energia solar fotovoltaica
DC micro-grid, Energy storage, Energia -- Emmagatzematge, Photovoltaic power generation, DC voltage control, Maximum power point tracking, Local linear control, :Energies::Energia elèctrica [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Energies::Energia elèctrica, Energia elèctrica, Battery storage, Energia solar fotovoltaica
citations 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).18 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).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
