Gustavo Marchesan

Dr. Gustavo Marchesan

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2015 in IEEE Transactions on Power Delivery
Verified
Journal Article
Closed access
GMGustavo Marchesan
Gustavo Marchesan
MMMatias Rossato Muraro
Matias Rossato Muraro
GCGhendy Cardoso
Ghendy Cardoso
LMLenois Mariotto
Lenois Mariotto
AMA. P. de Morais
A. P. de Morais
This paper aims to present a passive island detection technique for synchronous distributed generation (DG). The technique is based on frequency oscillation estimation in order to distinguish the islanding from other events that may occur in distribution systems. The island detection uses a small window to estimate the oscillation frequency, obtaining faster responses than the existing methods which use larger windows to estimate the damping and frequency of oscillation. The algorithm performance has been tested considering different generation and load scenarios, including short circuits, load, and capacitor switching, DG outage, and islanding. The technique is reliable since it does not trip for a nonislanding event; the island detection time is less than 40 ms and its nondetection zone is less than 1.6% of the DG nominal power. The proposed method has been compared with one of the most common algorithms used in practice-the rate of change of frequency. The results show that the algorithm based on frequency oscillation detection performs better than the ROCOF, and its mathematical simplicity is adequate for practical relay implementation.

1 May 2015 in Electric Power Systems Research
Verified
Journal Article
Closed access
AMA.P. Morais
A.P. Morais
GCG. Cardoso
G. Cardoso
LML. Mariotto
L. Mariotto
GMGustavo Marchesan
Gustavo Marchesan

1 February 2018 in Electric Power Systems Research
Verified
Journal Article
Closed access
CLC. Lazaro
C. Lazaro
JMJ.P. Marques
J.P. Marques
GMGustavo Marchesan
Gustavo Marchesan
GCG. Cardoso
G. Cardoso

1 October 2015 in IET Science, Measurement & Technology
Verified
Journal Article
Open access
PDF file
CSChrystian Dalla Lana da Silva
Chrystian Dalla Lana da Silva
GJGhendy Cardoso Junior
Ghendy Cardoso Junior
LMLenois Mariotto
Lenois Mariotto
GMGustavo Marchesan
Gustavo Marchesan
There are a few components of the current signal that may lead to inaccurate current measurement in power systems, and therefore, may cause malfunction on numerical protective relays and control devices. Some of these components include harmonics, the decaying DC offset, and noises. In this study, a phasor estimation method based on artificial neural networks is proposed, which will provide fast response time and accuracy. The method uses the multilayer perceptron structure to precisely estimate the amplitude and phase angle of the current waveform by determining its input weights during an online training process. The proposed algorithm is tested and compared with other reliable and well‐known methods for a performance evaluation.

1 January 2016 in Electric Power Systems Research
Verified
Journal Article
Closed access
GMGustavo Marchesan
Gustavo Marchesan
MMM.R. Muraro
M.R. Muraro
GCG. Cardoso
G. Cardoso
LML. Mariotto
L. Mariotto
CSC.D.L. da Silva
C.D.L. da Silva

1 May 2015 in Electric Power Systems Research
Verified
Journal Article
Closed access
ESE.M. dos Santos
E.M. dos Santos
JNJ.P. Juchem Neto
J.P. Juchem Neto
GMGustavo Marchesan
Gustavo Marchesan
GCG. Cardoso
G. Cardoso