A decentralized approach for frequency and voltage regulation in islanded PV-Storage microgrids
•Islanded photovoltaic-storage system control.•Decentralized plug-and-play control of distributed generating units.•Primary and secondary frequency regulation.•Improved exploitability of photovoltaic power plants.•Application of advanced model-base control approach (Model Predictive Control). This p...
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Veröffentlicht in: | Electric power systems research 2021-04, Vol.193, p.106974, Article 106974 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •Islanded photovoltaic-storage system control.•Decentralized plug-and-play control of distributed generating units.•Primary and secondary frequency regulation.•Improved exploitability of photovoltaic power plants.•Application of advanced model-base control approach (Model Predictive Control).
This paper proposes a novel decentralized and communication-less control strategy for frequency and voltage regulation in Photovoltaic (PV)-Storage islanded Microgrids (MGs). The developed approach aims at achieving a suitable management of the different operational assets of the PV-Storage islanded MGs providing seamless transitions among them and guaranteeing a continuous and effective power supply to the loads. Local inverter controllers are designed exploiting the capabilities of the Model Predictive Control; the resulting control architecture is a composition of local Distributed Generating (DG) unit controller relies only on measurements available on the DG unit site that allows nullifying both frequency and voltage errors providing a suitable repartition of the power request. This way, the proposed approach can combine the advantages of the classic droop and master/slave controllers as it needs neither communication among devices nor a secondary centralized control loop. Moreover, it is able to account for the Storage characteristics imposing a power curtailment of the PV units whenever either the power absorption or the State of Charge limit is reached. |
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ISSN: | 0378-7796 1873-2046 |
DOI: | 10.1016/j.epsr.2020.106974 |