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https://doi.org/10.1109/ecmsm....
Conference object . 2017 . Peer-reviewed
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Experimental test bench for testing DC microgrid control strategies

Authors: Julen Paniagua; Eneko Unamuno; Jon Andoni Barrena;

Experimental test bench for testing DC microgrid control strategies

Abstract

During the last decades the number of microgrids and their research have increased notably, as they offer a high versatility for the integration of distributed generation (DG) units and renewable energies. Among the different types of microgrids, dc systems are becoming more popular due to their advantages over conventional ac systems. However, their control techniques differ from the ones employed at ac networks, and depending on the device type-either generation, storage systems or loads-alternative control techniques need to be developed. Therefore, in this paper an experimental dc platform is developed with the aim of testing and evaluating these kind of control strategies. This test bench consists of a bidirectional four switch buck-boost converter together with a TMS320F28335 DSP for the implementation of the control strategy on each power converter. The proposed platform is suitable for integrating these systems at a 48 V dc bus and facilitates the evaluation of a wide range of control strategies as they are implemented in the Matlab/Simulink ® environment. In this case, the validation of the experimental platform has been carried out by implementing a virtual-impedance-based control technique. The experimental results included in the paper corroborate the suitability of the platform for the evaluation of control techniques for dc microgrids.

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Keywords

Energy storage, Mathematical model, microgrids, Digital signal processing, Switches, Topology, testing

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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