Next Article in Journal
A New Hybrid Fault Identification Method Based on Multiterminals Synchronous Measure Information for All Parallel at Traction Power Supply System
Previous Article in Journal
Continuous Hydrothermal Liquefaction of Biomass in a Novel Pilot Plant with Heat Recovery and Hydraulic Oscillation
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Energies 2018, 11(10), 2696; https://doi.org/10.3390/en11102696

Microgrid Islanding Detection Based on Mathematical Morphology

1
Department of Electrical Engineering, Shahid Beheshti University, Tehran 1983969411, Iran
2
Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON L1H 7K4, Canada
3
School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
*
Author to whom correspondence should be addressed.
Received: 12 September 2018 / Revised: 28 September 2018 / Accepted: 5 October 2018 / Published: 10 October 2018
Full-Text   |   PDF [3426 KB, uploaded 10 October 2018]   |  

Abstract

Voltage and frequency stability are highly important for reliable performance of smart grids. In grid-connected mode, the utility controls these parameters, but when islanding occurs these parameters exceed their limits, which may result in irreparable damage to the system. This paper presents a time-domain approach which uses basic mathematical morphology (MM) operators, dilation and erosion filters, for microgrid islanding detection. The proposed method applies a dilation-erosion differential filter (DED) of the RMS signal (DEDFOR) at the point of common coupling (PCC) in a micro-grid connected to distributed generations (DGs). To evaluate the performance of the proposed approach, it is tested and compared with existing techniques in the literature under various conditions such as capacitor bank switching and motor starting. The results verify the accuracy and efficiency of the proposed technique for islanding detection under different operating conditions and various power mismatches. View Full-Text
Keywords: microgrid; islanding detection; dilation-erosion differential filter of RMS signal; mathematical morphology; passive method; signal processing method microgrid; islanding detection; dilation-erosion differential filter of RMS signal; mathematical morphology; passive method; signal processing method
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ghalavand, F.; Alizade, B.A.M.; Gaber, H.; Karimipour, H. Microgrid Islanding Detection Based on Mathematical Morphology. Energies 2018, 11, 2696.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top