cris.boxmetadata.label.title
Multi-task control strategy for grid-tied inverters based on conservative power theory
cris.boxmetadata.label.dateissued
2015
cris.boxmetadata.label.accesslevel
open access
cris.boxmetadata.label.resourcetype
journal article
cris.boxmetadata.label.authors
Marafão F.P.
Brandão D.I.
Costabeber A.
MORALES PAREDES, HELMO KELIS
Universidade Estadual Paulista
cris.boxmetadata.label.publisher
Institution of Engineering and Technology
cris.boxmetadata.label.abstract
ln recent years, the concept of decentralising power generation through the deployment of distributed generators (DGs) has been widely accepted and applied, driven by the growing market of renewable energy sources. These DGs are normally equipped with a switching power interface, acting as front end with the grid. This paper proposes a multi-task control strategy for distributed generation systems that simultaneously allows the DG to inject the available energy, as well as to work as a voltage drop compensator or as an active power filter, mitigating load current disturbances and improving power quality of the grid. The main contribution of the proposed system, with respect to other solutions in the literature, is that the proposed control loops are based on the Conservative Power Theory decompositions. This choice provides decoupled power and current references for the inverter control, offering a very flexible, selective and powerful control strategy for the DG. The paper also discusses the choice of the current waveform for injecting/absorbing active power into/from the grid, and both sinusoidal and resistive references have been compared in terms of damping capability. Finally, simulation and experimental results are provided in order to validate the proposed functionalities of the DG control system.
cris.boxmetadata.label.citationstartpage
154
cris.boxmetadata.label.citationendpage
165
cris.boxmetadata.label.volume
9
cris.boxmetadata.label.issue
2
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Ingeniería eléctrica, Ingeniería electrónica
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-84923416218
cris.boxmetadata.label.source
IET Renewable Power Generation
cris.boxmetadata.label.containerissn
17521416
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