Firefly Algorithm Optimized Robust Protection Scheme for DC Microgrid

Sid-Ali Amamra; Hafiz Ahmed; Ragab El-Sehiemy

doi:10.1080/15325008.2017.1319435

Firefly Algorithm Optimized Robust Protection Scheme for DC Microgrid

Sid-Ali Amamra, Hafiz Ahmed, Ragab El-Sehiemy

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

132 Downloads (Pure)

Abstract

Various topologies of the Direct Current (DC) microgrid have been proposed in the literature by considering practical requirements. One of the important criteria in topology selection is the availability of a well-functioning protection scheme. A significant part of the DC microgrid protection system literature considers differential protection schemes for various topologies. However this scheme doesn’t work satisfactorily with noisy measurements. Noisy measurements are a reality and can not be avoided for any real engineering system. This article proposes a robust protection scheme to alleviate some problems associated with topology selection. The proposed scheme considers noisy current measurements and works by estimating the time derivative of line currents. The proposed approach uses continuous finite-time convergent differentiator to estimate the derivative. The gains of the differentiator were tuned through Firefly algorithm-based optimization technique. Matlab/Simulink ®-based simulations verified the effectiveness of the proposed approach over the existing differential current scheme.

Original language	English
Pages (from-to)	1141-1151
Number of pages	11
Journal	Electric Power Components and Systems
Volume	45
Issue number	10
DOIs	https://doi.org/10.1080/15325008.2017.1319435
Publication status	Published - 28 Jul 2017

Bibliographical note

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

Keywords

Firefly algorithm
DC microgrid
Robust protection scheme
Numerical differentiation
Sliding mode differentiator
Evolutionary optimization
Renewable energy
Fault detection
Robust derivative estimation
Differential protection

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/15325008.2017.1319435

Post-printAccepted author manuscript, 2.17 MBLicence: CC BY-NC

Cite this

@article{e14e10a609624b6bb443439d778e00e0,

title = "Firefly Algorithm Optimized Robust Protection Scheme for DC Microgrid",

abstract = "Various topologies of the Direct Current (DC) microgrid have been proposed in the literature by considering practical requirements. One of the important criteria in topology selection is the availability of a well-functioning protection scheme. A significant part of the DC microgrid protection system literature considers differential protection schemes for various topologies. However this scheme doesn{\textquoteright}t work satisfactorily with noisy measurements. Noisy measurements are a reality and can not be avoided for any real engineering system. This article proposes a robust protection scheme to alleviate some problems associated with topology selection. The proposed scheme considers noisy current measurements and works by estimating the time derivative of line currents. The proposed approach uses continuous finite-time convergent differentiator to estimate the derivative. The gains of the differentiator were tuned through Firefly algorithm-based optimization technique. Matlab/Simulink {\textregistered}-based simulations verified the effectiveness of the proposed approach over the existing differential current scheme.",

keywords = "Firefly algorithm, DC microgrid, Robust protection scheme, Numerical differentiation, Sliding mode differentiator, Evolutionary optimization, Renewable energy, Fault detection, Robust derivative estimation, Differential protection",

author = "Sid-Ali Amamra and Hafiz Ahmed and Ragab El-Sehiemy",

note = "Copyright {\textcopyright} and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. ",

year = "2017",

month = jul,

day = "28",

doi = "10.1080/15325008.2017.1319435",

language = "English",

volume = "45",

pages = "1141--1151",

journal = "Electric Power Components and Systems",

issn = "1532-5008",

publisher = "Taylor and Francis",

number = "10",

}

TY - JOUR

T1 - Firefly Algorithm Optimized Robust Protection Scheme for DC Microgrid

AU - Amamra, Sid-Ali

AU - Ahmed, Hafiz

AU - El-Sehiemy, Ragab

N1 - Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

PY - 2017/7/28

Y1 - 2017/7/28

N2 - Various topologies of the Direct Current (DC) microgrid have been proposed in the literature by considering practical requirements. One of the important criteria in topology selection is the availability of a well-functioning protection scheme. A significant part of the DC microgrid protection system literature considers differential protection schemes for various topologies. However this scheme doesn’t work satisfactorily with noisy measurements. Noisy measurements are a reality and can not be avoided for any real engineering system. This article proposes a robust protection scheme to alleviate some problems associated with topology selection. The proposed scheme considers noisy current measurements and works by estimating the time derivative of line currents. The proposed approach uses continuous finite-time convergent differentiator to estimate the derivative. The gains of the differentiator were tuned through Firefly algorithm-based optimization technique. Matlab/Simulink ®-based simulations verified the effectiveness of the proposed approach over the existing differential current scheme.

AB - Various topologies of the Direct Current (DC) microgrid have been proposed in the literature by considering practical requirements. One of the important criteria in topology selection is the availability of a well-functioning protection scheme. A significant part of the DC microgrid protection system literature considers differential protection schemes for various topologies. However this scheme doesn’t work satisfactorily with noisy measurements. Noisy measurements are a reality and can not be avoided for any real engineering system. This article proposes a robust protection scheme to alleviate some problems associated with topology selection. The proposed scheme considers noisy current measurements and works by estimating the time derivative of line currents. The proposed approach uses continuous finite-time convergent differentiator to estimate the derivative. The gains of the differentiator were tuned through Firefly algorithm-based optimization technique. Matlab/Simulink ®-based simulations verified the effectiveness of the proposed approach over the existing differential current scheme.

KW - Firefly algorithm

KW - DC microgrid

KW - Robust protection scheme

KW - Numerical differentiation

KW - Sliding mode differentiator

KW - Evolutionary optimization

KW - Renewable energy

KW - Fault detection

KW - Robust derivative estimation

KW - Differential protection

U2 - 10.1080/15325008.2017.1319435

DO - 10.1080/15325008.2017.1319435

M3 - Article

VL - 45

SP - 1141

EP - 1151

JO - Electric Power Components and Systems

JF - Electric Power Components and Systems

SN - 1532-5008

IS - 10

ER -

Firefly Algorithm Optimized Robust Protection Scheme for DC Microgrid

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this