Optimal automation level for reliability improvement and self-healing MV distribution networks

M. R. Elkadeem; M. A. Alaam; Ahmed M. Azmy

doi:10.1109/MEPCON.2016.7836892

Optimal automation level for reliability improvement and self-healing MV distribution networks

M. R. Elkadeem^*, M. A. Alaam, Ahmed M. Azmy

^*Corresponding author for this work

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

8 Scopus citations

Abstract

Smart secondary substations (S/S) play a vital role in advanced Distribution automation system (ADAS) in order to achieve self-healing grid and improve the reliability level of medium voltage (MV) distribution networks. However, the main challenges with ADAS is the determination of the optimal automation level. This is a non-linear discrete optimization problem with multi-dimensions. Thus, it is not possible to apply numerical algorithms for direct searching of all possible solutions. In this paper, a methodology to determine the optimal automation level of MV distribution network based on a heuristic combinatorial search technique is proposed. In addition, a substation-centralized-based ADAS is implemented on a real, urban, underground MV distribution network. The existing distribution network is used to show the validity and efficiency of the proposed methodology. Finally, a reliability assessment study is applied for the proposed automated network to examine the improvement of reliability level. The results indicate clearly the reduction in system reliability indices SAIDI and EENS.

Original language	English
Title of host publication	2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings
Editors	Omar H. Abdalla
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	206-213
Number of pages	8
ISBN (Electronic)	9781467390637
DOIs	https://doi.org/10.1109/MEPCON.2016.7836892
State	Published - 30 Jan 2017
Externally published	Yes

Publication series

Name	2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Advanced distribution automation system
Fault location
Reliabilty assessment study
Self-healing grid
Smart secondary substation
isolation and service restoration

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Control and Optimization

Access to Document

10.1109/MEPCON.2016.7836892

Cite this

Elkadeem, M. R., Alaam, M. A., & Azmy, A. M. (2017). Optimal automation level for reliability improvement and self-healing MV distribution networks. In O. H. Abdalla (Ed.), 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings (pp. 206-213). Article 7836892 (2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEPCON.2016.7836892

Elkadeem, M. R. ; Alaam, M. A. ; Azmy, Ahmed M. / Optimal automation level for reliability improvement and self-healing MV distribution networks. 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings. editor / Omar H. Abdalla. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 206-213 (2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings).

@inproceedings{692423cfc6264e9ca83c411d10f7f996,

title = "Optimal automation level for reliability improvement and self-healing MV distribution networks",

abstract = "Smart secondary substations (S/S) play a vital role in advanced Distribution automation system (ADAS) in order to achieve self-healing grid and improve the reliability level of medium voltage (MV) distribution networks. However, the main challenges with ADAS is the determination of the optimal automation level. This is a non-linear discrete optimization problem with multi-dimensions. Thus, it is not possible to apply numerical algorithms for direct searching of all possible solutions. In this paper, a methodology to determine the optimal automation level of MV distribution network based on a heuristic combinatorial search technique is proposed. In addition, a substation-centralized-based ADAS is implemented on a real, urban, underground MV distribution network. The existing distribution network is used to show the validity and efficiency of the proposed methodology. Finally, a reliability assessment study is applied for the proposed automated network to examine the improvement of reliability level. The results indicate clearly the reduction in system reliability indices SAIDI and EENS.",

keywords = "Advanced distribution automation system, Fault location, Reliabilty assessment study, Self-healing grid, Smart secondary substation, isolation and service restoration",

author = "Elkadeem, \{M. R.\} and Alaam, \{M. A.\} and Azmy, \{Ahmed M.\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2017",

month = jan,

day = "30",

doi = "10.1109/MEPCON.2016.7836892",

language = "English",

series = "2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Elkadeem, MR, Alaam, MA & Azmy, AM 2017, Optimal automation level for reliability improvement and self-healing MV distribution networks. in OH Abdalla (ed.), 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings., 7836892, 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 206-213. https://doi.org/10.1109/MEPCON.2016.7836892

Optimal automation level for reliability improvement and self-healing MV distribution networks. / Elkadeem, M. R.; Alaam, M. A.; Azmy, Ahmed M.
2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings. ed. / Omar H. Abdalla. Institute of Electrical and Electronics Engineers Inc., 2017. p. 206-213 7836892 (2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings).

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

TY - GEN

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AU - Elkadeem, M. R.

AU - Alaam, M. A.

AU - Azmy, Ahmed M.

PY - 2017/1/30

Y1 - 2017/1/30

N2 - Smart secondary substations (S/S) play a vital role in advanced Distribution automation system (ADAS) in order to achieve self-healing grid and improve the reliability level of medium voltage (MV) distribution networks. However, the main challenges with ADAS is the determination of the optimal automation level. This is a non-linear discrete optimization problem with multi-dimensions. Thus, it is not possible to apply numerical algorithms for direct searching of all possible solutions. In this paper, a methodology to determine the optimal automation level of MV distribution network based on a heuristic combinatorial search technique is proposed. In addition, a substation-centralized-based ADAS is implemented on a real, urban, underground MV distribution network. The existing distribution network is used to show the validity and efficiency of the proposed methodology. Finally, a reliability assessment study is applied for the proposed automated network to examine the improvement of reliability level. The results indicate clearly the reduction in system reliability indices SAIDI and EENS.

AB - Smart secondary substations (S/S) play a vital role in advanced Distribution automation system (ADAS) in order to achieve self-healing grid and improve the reliability level of medium voltage (MV) distribution networks. However, the main challenges with ADAS is the determination of the optimal automation level. This is a non-linear discrete optimization problem with multi-dimensions. Thus, it is not possible to apply numerical algorithms for direct searching of all possible solutions. In this paper, a methodology to determine the optimal automation level of MV distribution network based on a heuristic combinatorial search technique is proposed. In addition, a substation-centralized-based ADAS is implemented on a real, urban, underground MV distribution network. The existing distribution network is used to show the validity and efficiency of the proposed methodology. Finally, a reliability assessment study is applied for the proposed automated network to examine the improvement of reliability level. The results indicate clearly the reduction in system reliability indices SAIDI and EENS.

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KW - Fault location

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KW - Self-healing grid

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KW - isolation and service restoration

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ER -

Elkadeem MR, Alaam MA, Azmy AM. Optimal automation level for reliability improvement and self-healing MV distribution networks. In Abdalla OH, editor, 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 206-213. 7836892. (2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings). doi: 10.1109/MEPCON.2016.7836892

Optimal automation level for reliability improvement and self-healing MV distribution networks

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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