Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources

A. Vieira Pombo; V. Fernao Pires; Joao Murta-Pina

doi:10.1109/ICIT.2015.7125509

Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources

A. Vieira Pombo, V. Fernao Pires, Joao Murta-Pina

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

2 Citations (Scopus)

Abstract

In the past years, the Electrical Utility Industry has been confronted with numerous challenges, which include amongst others, the widespread use of distributed energy resources and a public increase in environmental issues. By optimizing the location of switching devices on the electrical distribution system, an improvement in energy not supplied and in the use of distributed energy resources can be obtained. This work proposes the genetic evolutionary algorithm NSGA-II for the multiobjective optimal placement of the switching devices. A trade-off between the investment in switching devices, energy not supplied and greenhouse gas emissions is analyzed, in order to choose the optimal placement of switching devices in distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results are presented and discussed.

Original language	English
Title of host publication	2015 IEEE International Conference on Industrial Technology, ICIT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2789-2793
Number of pages	5
Volume	2015-June
Edition	June
ISBN (Electronic)	978-1-4799-7800-7
DOIs	https://doi.org/10.1109/ICIT.2015.7125509
Publication status	Published - 16 Jun 2015
Event	2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain Duration: 17 Mar 2015 → 19 Mar 2015

Conference

Conference	2015 IEEE International Conference on Industrial Technology, ICIT 2015
Country/Territory	Spain
City	Seville
Period	17/03/15 → 19/03/15

Keywords

ENS
Greehouse gas emissions
Multiobjective optimization
No-Island operation
NSGA-II
Switching devices

Access to Document

10.1109/ICIT.2015.7125509Licence: Unspecified

Cite this

Pombo, A. V., Pires, V. F., & Murta-Pina, J. (2015). Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources. In 2015 IEEE International Conference on Industrial Technology, ICIT 2015 (June ed., Vol. 2015-June, pp. 2789-2793). [7125509] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2015.7125509

Pombo, A. Vieira ; Pires, V. Fernao ; Murta-Pina, Joao. / Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources. 2015 IEEE International Conference on Industrial Technology, ICIT 2015. Vol. 2015-June June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2789-2793

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title = "Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources",

abstract = "In the past years, the Electrical Utility Industry has been confronted with numerous challenges, which include amongst others, the widespread use of distributed energy resources and a public increase in environmental issues. By optimizing the location of switching devices on the electrical distribution system, an improvement in energy not supplied and in the use of distributed energy resources can be obtained. This work proposes the genetic evolutionary algorithm NSGA-II for the multiobjective optimal placement of the switching devices. A trade-off between the investment in switching devices, energy not supplied and greenhouse gas emissions is analyzed, in order to choose the optimal placement of switching devices in distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results are presented and discussed.",

keywords = "ENS, Greehouse gas emissions, Multiobjective optimization, No-Island operation, NSGA-II, Switching devices",

author = "Pombo, {A. Vieira} and Pires, {V. Fernao} and Joao Murta-Pina",

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Pombo, AV, Pires, VF & Murta-Pina, J 2015, Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources. in 2015 IEEE International Conference on Industrial Technology, ICIT 2015. June edn, vol. 2015-June, 7125509, Institute of Electrical and Electronics Engineers Inc., pp. 2789-2793, 2015 IEEE International Conference on Industrial Technology, ICIT 2015, Seville, Spain, 17/03/15. https://doi.org/10.1109/ICIT.2015.7125509

Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources. / Pombo, A. Vieira; Pires, V. Fernao; Murta-Pina, Joao.

2015 IEEE International Conference on Industrial Technology, ICIT 2015. Vol. 2015-June June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2789-2793 7125509.

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

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T1 - Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources

AU - Pombo, A. Vieira

AU - Pires, V. Fernao

AU - Murta-Pina, Joao

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PY - 2015/6/16

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N2 - In the past years, the Electrical Utility Industry has been confronted with numerous challenges, which include amongst others, the widespread use of distributed energy resources and a public increase in environmental issues. By optimizing the location of switching devices on the electrical distribution system, an improvement in energy not supplied and in the use of distributed energy resources can be obtained. This work proposes the genetic evolutionary algorithm NSGA-II for the multiobjective optimal placement of the switching devices. A trade-off between the investment in switching devices, energy not supplied and greenhouse gas emissions is analyzed, in order to choose the optimal placement of switching devices in distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results are presented and discussed.

AB - In the past years, the Electrical Utility Industry has been confronted with numerous challenges, which include amongst others, the widespread use of distributed energy resources and a public increase in environmental issues. By optimizing the location of switching devices on the electrical distribution system, an improvement in energy not supplied and in the use of distributed energy resources can be obtained. This work proposes the genetic evolutionary algorithm NSGA-II for the multiobjective optimal placement of the switching devices. A trade-off between the investment in switching devices, energy not supplied and greenhouse gas emissions is analyzed, in order to choose the optimal placement of switching devices in distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results are presented and discussed.

KW - ENS

KW - Greehouse gas emissions

KW - Multiobjective optimization

KW - No-Island operation

KW - NSGA-II

KW - Switching devices

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VL - 2015-June

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BT - 2015 IEEE International Conference on Industrial Technology, ICIT 2015

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Pombo AV, Pires VF, Murta-Pina J. Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources. In 2015 IEEE International Conference on Industrial Technology, ICIT 2015. June ed. Vol. 2015-June. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2789-2793. 7125509 https://doi.org/10.1109/ICIT.2015.7125509

Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources

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