Pith. sign in

REVIEW 1 cited by

A consensus-based secondary control layer for stable current sharing and voltage balancing in DC microgrids

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1603.03624 v3 pith:KGXOJEHE submitted 2016-03-11 cs.SY cs.SY

classification cs.SY
keywords dgusvoltagebalancingcontrolcurrentsecondarysharingconsensus-based
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

In this paper, we propose a secondary consensus-based control layer for current sharing and voltage balancing in DC microGrids (mGs). To this purpose, we assume that Distributed Generation Units (DGUs) are equipped with decentralized primary controllers guaranteeing voltage stability. This goal can be achieved using, for instance, Plug-and-Play (PnP) regulators. We analyze the behavior of the closed-loop mG by approximating local primary control loops with either unitary gains or first-order transfer functions. Besides proving exponential stability, current sharing, and voltage balancing, we describe how to design secondary controllers in a PnP fashion when DGUs are added or removed. Theoretical results are complemented by simulations, using a 7-DGUs mG implemented in Simulink/PLECS, and experiments on a 3-DGUs mG.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Dissipativity-Based Data-Driven Decentralized Control of Interconnected Systems

    eess.SY 2025-09 conditional novelty 6.0 of 10

    Data-driven decentralized control of interconnected discrete-time LTI systems is achieved by synthesizing local dissipative controllers and certifying global stability with LMIs from local data and noise bounds.

Pith tools