Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems

António Vieira Pombo; V. Fernão Pires; João Miguel Murta Pina

doi:10.1007/978-3-642-54734-8_42

Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems

António Vieira Pombo, V. Fernão Pires, João Miguel Murta Pina

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

4 Citations (Scopus)

Abstract

The Electric Utility Industry all around the world is facing numerous challenges, which include amongst others, the optimal use of expensive assets and resources and the maintenance of electric grid and customer quality service levels. The optimal placement of switches in electrical distribution networks will allow the control over service quality levels and the maximization of investments in equipments. This work proposes a genetic evolutionary algorithm NSGA-II for the optimization between the maximal return of investments on existing assets, while maintaining the quality of service provided. The trade off between total cost of investments and service quality levels SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index) is analyzed, to choose the optimal placement of switches in the distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results allowed to verify the performance of the adopted approach.

Original language	English
Title of host publication	IFIP Advances in Information and Communication Technology
Editors	L CamarinhaMatos, N Barrento, R Mendonca
Place of Publication	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Publisher	SPRINGER-VERLAG BERLIN
Pages	380-387
Volume	423
ISBN (Print)	978-3-642-54734-8; 978-3-642-54733-1
DOIs	https://doi.org/10.1007/978-3-642-54734-8_42
Publication status	Published - 2014
Event	5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS’14) - Duration: 1 Jan 2014 → …

Conference

Conference	5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS’14)
Period	1/01/14 → …

Keywords

Electrical Distribution Networks
Genetic Algorithm
Reliability
Switch Placement

Access to Document

10.1007/978-3-642-54734-8_42

Cite this

Pombo, A. V., Fernão Pires, V., & Pina, J. M. M. (2014). Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems. In L. CamarinhaMatos, N. Barrento, & R. Mendonca (Eds.), IFIP Advances in Information and Communication Technology (Vol. 423, pp. 380-387). SPRINGER-VERLAG BERLIN. https://doi.org/10.1007/978-3-642-54734-8_42

Pombo, António Vieira ; Fernão Pires, V. ; Pina, João Miguel Murta. / Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems. IFIP Advances in Information and Communication Technology. editor / L CamarinhaMatos ; N Barrento ; R Mendonca. Vol. 423 HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY : SPRINGER-VERLAG BERLIN, 2014. pp. 380-387

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abstract = "The Electric Utility Industry all around the world is facing numerous challenges, which include amongst others, the optimal use of expensive assets and resources and the maintenance of electric grid and customer quality service levels. The optimal placement of switches in electrical distribution networks will allow the control over service quality levels and the maximization of investments in equipments. This work proposes a genetic evolutionary algorithm NSGA-II for the optimization between the maximal return of investments on existing assets, while maintaining the quality of service provided. The trade off between total cost of investments and service quality levels SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index) is analyzed, to choose the optimal placement of switches in the distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results allowed to verify the performance of the adopted approach.",

keywords = "Switch Placement, Reliability, Genetic Algorithm, Electrical Distribution Networks, Electrical Distribution Networks, Genetic Algorithm, Reliability, Switch Placement",

author = "Pombo, {Ant{\'o}nio Vieira} and {Fern{\~a}o Pires}, V. and Pina, {Jo{\~a}o Miguel Murta}",

year = "2014",

doi = "10.1007/978-3-642-54734-8_42",

language = "English",

isbn = "978-3-642-54734-8; 978-3-642-54733-1",

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booktitle = "IFIP Advances in Information and Communication Technology",

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Pombo, AV, Fernão Pires, V & Pina, JMM 2014, Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems. in L CamarinhaMatos, N Barrento & R Mendonca (eds), IFIP Advances in Information and Communication Technology. vol. 423, SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, pp. 380-387, 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS’14), 1/01/14. https://doi.org/10.1007/978-3-642-54734-8_42

Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems. / Pombo, António Vieira; Fernão Pires, V.; Pina, João Miguel Murta.
IFIP Advances in Information and Communication Technology. ed. / L CamarinhaMatos; N Barrento; R Mendonca. Vol. 423 HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY: SPRINGER-VERLAG BERLIN, 2014. p. 380-387.

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

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AU - Pombo, António Vieira

AU - Fernão Pires, V.

AU - Pina, João Miguel Murta

PY - 2014

Y1 - 2014

N2 - The Electric Utility Industry all around the world is facing numerous challenges, which include amongst others, the optimal use of expensive assets and resources and the maintenance of electric grid and customer quality service levels. The optimal placement of switches in electrical distribution networks will allow the control over service quality levels and the maximization of investments in equipments. This work proposes a genetic evolutionary algorithm NSGA-II for the optimization between the maximal return of investments on existing assets, while maintaining the quality of service provided. The trade off between total cost of investments and service quality levels SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index) is analyzed, to choose the optimal placement of switches in the distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results allowed to verify the performance of the adopted approach.

AB - The Electric Utility Industry all around the world is facing numerous challenges, which include amongst others, the optimal use of expensive assets and resources and the maintenance of electric grid and customer quality service levels. The optimal placement of switches in electrical distribution networks will allow the control over service quality levels and the maximization of investments in equipments. This work proposes a genetic evolutionary algorithm NSGA-II for the optimization between the maximal return of investments on existing assets, while maintaining the quality of service provided. The trade off between total cost of investments and service quality levels SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index) is analyzed, to choose the optimal placement of switches in the distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results allowed to verify the performance of the adopted approach.

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KW - Reliability

KW - Genetic Algorithm

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KW - Genetic Algorithm

KW - Reliability

KW - Switch Placement

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M3 - Conference contribution

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VL - 423

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BT - IFIP Advances in Information and Communication Technology

A2 - CamarinhaMatos, L

A2 - Barrento, N

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PB - SPRINGER-VERLAG BERLIN

CY - HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY

T2 - 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS’14)

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ER -

Pombo AV, Fernão Pires V, Pina JMM. Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems. In CamarinhaMatos L, Barrento N, Mendonca R, editors, IFIP Advances in Information and Communication Technology. Vol. 423. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY: SPRINGER-VERLAG BERLIN. 2014. p. 380-387 doi: 10.1007/978-3-642-54734-8_42

Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems

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