Self-healing restoration of smart microgrids in Islanded mode of operation

M. Zakiel-Sharafy; H. E. Farag

doi:10.1007/978-3-319-33681-7_33

Self-healing restoration of smart microgrids in Islanded mode of operation

M. Zakiel-Sharafy, H. E. Farag

York University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This paper proposes a new algorithm for optimum self-healing restoration of a smartmicrogrid operating in islanded mode of operation. The objective of the proposed algorithm is to optimize the topological structure of the islanded microgrid system (IMG) via: (1) maximizing the served load after the fault isolation; and (2) minimizing the switching operation costs. The proposed algorithm takes into consideration the system operational constraints in all operating conditions. The new algorithm accounts for droop controlled IMG special operational characteristics. The problem is formulated as a multiobjective optimization problem and solved using Ant Colony Optimization Algorithm. The proposed algorithm has been implemented in MATLAB environment and several case studies have been carried to test its effectiveness.

Original language	British English
Title of host publication	Smart City 360 - 1st EAI International Summit, Smart City 360, Revised Selected Papers
Editors	Veronika Krutilova, Dagmar Cagáňová, Daniela Špirková, Julius Golej, Kim Nguyen, Radim Lenort, David Holman, David Staš, Pavel Wicher, Alberto Leon-Garcia
Publisher	Springer Verlag
Pages	395-407
Number of pages	13
ISBN (Print)	9783319336800
DOIs	https://doi.org/10.1007/978-3-319-33681-7_33
State	Published - 2016
Event	International Conference on Sustainable Solutions Beyond Mobility of Goods, SustainableMoG 2015 - Bratislava, Slovakia Duration: 13 Oct 2015 → 14 Oct 2015

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	166
ISSN (Print)	1867-8211

Conference

Conference	International Conference on Sustainable Solutions Beyond Mobility of Goods, SustainableMoG 2015
Country/Territory	Slovakia
City	Bratislava
Period	13/10/15 → 14/10/15

Keywords

Ant colony optimization algorithm
Droop control
Islanded microgrid
Power system restoration

Access to Document

10.1007/978-3-319-33681-7_33

Cite this

Zakiel-Sharafy, M., & Farag, H. E. (2016). Self-healing restoration of smart microgrids in Islanded mode of operation. In V. Krutilova, D. Cagáňová, D. Špirková, J. Golej, K. Nguyen, R. Lenort, D. Holman, D. Staš, P. Wicher, & A. Leon-Garcia (Eds.), Smart City 360 - 1st EAI International Summit, Smart City 360, Revised Selected Papers (pp. 395-407). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 166). Springer Verlag. https://doi.org/10.1007/978-3-319-33681-7_33

Zakiel-Sharafy, M. ; Farag, H. E. / Self-healing restoration of smart microgrids in Islanded mode of operation. Smart City 360 - 1st EAI International Summit, Smart City 360, Revised Selected Papers. editor / Veronika Krutilova ; Dagmar Cagáňová ; Daniela Špirková ; Julius Golej ; Kim Nguyen ; Radim Lenort ; David Holman ; David Staš ; Pavel Wicher ; Alberto Leon-Garcia. Springer Verlag, 2016. pp. 395-407 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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abstract = "This paper proposes a new algorithm for optimum self-healing restoration of a smartmicrogrid operating in islanded mode of operation. The objective of the proposed algorithm is to optimize the topological structure of the islanded microgrid system (IMG) via: (1) maximizing the served load after the fault isolation; and (2) minimizing the switching operation costs. The proposed algorithm takes into consideration the system operational constraints in all operating conditions. The new algorithm accounts for droop controlled IMG special operational characteristics. The problem is formulated as a multiobjective optimization problem and solved using Ant Colony Optimization Algorithm. The proposed algorithm has been implemented in MATLAB environment and several case studies have been carried to test its effectiveness.",

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Zakiel-Sharafy, M & Farag, HE 2016, Self-healing restoration of smart microgrids in Islanded mode of operation. in V Krutilova, D Cagáňová, D Špirková, J Golej, K Nguyen, R Lenort, D Holman, D Staš, P Wicher & A Leon-Garcia (eds), Smart City 360 - 1st EAI International Summit, Smart City 360, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 166, Springer Verlag, pp. 395-407, International Conference on Sustainable Solutions Beyond Mobility of Goods, SustainableMoG 2015, Bratislava, Slovakia, 13/10/15. https://doi.org/10.1007/978-3-319-33681-7_33

Self-healing restoration of smart microgrids in Islanded mode of operation. / Zakiel-Sharafy, M.; Farag, H. E.
Smart City 360 - 1st EAI International Summit, Smart City 360, Revised Selected Papers. ed. / Veronika Krutilova; Dagmar Cagáňová; Daniela Špirková; Julius Golej; Kim Nguyen; Radim Lenort; David Holman; David Staš; Pavel Wicher; Alberto Leon-Garcia. Springer Verlag, 2016. p. 395-407 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 166).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Self-healing restoration of smart microgrids in Islanded mode of operation

AU - Zakiel-Sharafy, M.

AU - Farag, H. E.

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.

PY - 2016

Y1 - 2016

N2 - This paper proposes a new algorithm for optimum self-healing restoration of a smartmicrogrid operating in islanded mode of operation. The objective of the proposed algorithm is to optimize the topological structure of the islanded microgrid system (IMG) via: (1) maximizing the served load after the fault isolation; and (2) minimizing the switching operation costs. The proposed algorithm takes into consideration the system operational constraints in all operating conditions. The new algorithm accounts for droop controlled IMG special operational characteristics. The problem is formulated as a multiobjective optimization problem and solved using Ant Colony Optimization Algorithm. The proposed algorithm has been implemented in MATLAB environment and several case studies have been carried to test its effectiveness.

AB - This paper proposes a new algorithm for optimum self-healing restoration of a smartmicrogrid operating in islanded mode of operation. The objective of the proposed algorithm is to optimize the topological structure of the islanded microgrid system (IMG) via: (1) maximizing the served load after the fault isolation; and (2) minimizing the switching operation costs. The proposed algorithm takes into consideration the system operational constraints in all operating conditions. The new algorithm accounts for droop controlled IMG special operational characteristics. The problem is formulated as a multiobjective optimization problem and solved using Ant Colony Optimization Algorithm. The proposed algorithm has been implemented in MATLAB environment and several case studies have been carried to test its effectiveness.

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KW - Droop control

KW - Islanded microgrid

KW - Power system restoration

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AN - SCOPUS:84978203801

SN - 9783319336800

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 395

EP - 407

BT - Smart City 360 - 1st EAI International Summit, Smart City 360, Revised Selected Papers

A2 - Krutilova, Veronika

A2 - Cagáňová, Dagmar

A2 - Špirková, Daniela

A2 - Golej, Julius

A2 - Nguyen, Kim

A2 - Lenort, Radim

A2 - Holman, David

A2 - Staš, David

A2 - Wicher, Pavel

A2 - Leon-Garcia, Alberto

PB - Springer Verlag

T2 - International Conference on Sustainable Solutions Beyond Mobility of Goods, SustainableMoG 2015

Y2 - 13 October 2015 through 14 October 2015

ER -

Zakiel-Sharafy M, Farag HE. Self-healing restoration of smart microgrids in Islanded mode of operation. In Krutilova V, Cagáňová D, Špirková D, Golej J, Nguyen K, Lenort R, Holman D, Staš D, Wicher P, Leon-Garcia A, editors, Smart City 360 - 1st EAI International Summit, Smart City 360, Revised Selected Papers. Springer Verlag. 2016. p. 395-407. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-33681-7_33

Self-healing restoration of smart microgrids in Islanded mode of operation

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