Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm

John Peñaloza; Jairo Yumbla; Julio López; Antonio Padilha-Feltrin

doi:10.1109/ISGT-LA.2019.8895354

Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm

John Peñaloza
, Jairo Yumbla
, Julio López
, Antonio Padilha-Feltrin

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

3 Scopus citations

Abstract

This paper presents the develop of a computational tool for solve the distribution network reconfiguration problem considering the power losses minimization and distributed generation. The proposed tool satisfies the operational constraints of systems, e.g., voltage limits in nodes and the current capacity of lines. The use of a MINLP and a Genetic Algorithm guarantees convergence to good quality solutions. This is a searching adaptive method - based on natural selection and natural genetic. It improves the solutions in combinatorial problems, in each iteration through their operators (selection, crossover and mutation). 14-Bus, 33-Bus and 69-bus test systems and 880-Bus real system were employed to show the effectiveness and satisfactory results of the proposed tool.

Original language	English
Title of host publication	2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538695678
DOIs	https://doi.org/10.1109/ISGT-LA.2019.8895354
State	Published - Sep 2019
Externally published	Yes
Event	2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019 - Gramado, Brazil Duration: 15 Sep 2019 → 18 Sep 2019

Publication series

Name	2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

Conference

Conference	2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
Country/Territory	Brazil
City	Gramado
Period	15/09/19 → 18/09/19

Keywords

Distribution systems
feeders
genetic algorithms
MINLP
optimization
reconfiguration
substations

Access to Document

10.1109/ISGT-LA.2019.8895354

Cite this

Peñaloza, J., Yumbla, J., López, J., & Padilha-Feltrin, A. (2019). Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm. In 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019 Article 8895354 (2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-LA.2019.8895354

Peñaloza, John ; Yumbla, Jairo ; López, Julio et al. / Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm. 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019).

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title = "Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm",

abstract = "This paper presents the develop of a computational tool for solve the distribution network reconfiguration problem considering the power losses minimization and distributed generation. The proposed tool satisfies the operational constraints of systems, e.g., voltage limits in nodes and the current capacity of lines. The use of a MINLP and a Genetic Algorithm guarantees convergence to good quality solutions. This is a searching adaptive method - based on natural selection and natural genetic. It improves the solutions in combinatorial problems, in each iteration through their operators (selection, crossover and mutation). 14-Bus, 33-Bus and 69-bus test systems and 880-Bus real system were employed to show the effectiveness and satisfactory results of the proposed tool.",

keywords = "Distribution systems, feeders, genetic algorithms, MINLP, optimization, reconfiguration, substations",

author = "John Pe{\~n}aloza and Jairo Yumbla and Julio L{\'o}pez and Antonio Padilha-Feltrin",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019 ; Conference date: 15-09-2019 Through 18-09-2019",

year = "2019",

month = sep,

doi = "10.1109/ISGT-LA.2019.8895354",

language = "Ingl{\'e}s",

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

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Peñaloza, J, Yumbla, J, López, J & Padilha-Feltrin, A 2019, Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm. in 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019., 8895354, 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019, Gramado, Brazil, 15/09/19. https://doi.org/10.1109/ISGT-LA.2019.8895354

Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm. / Peñaloza, John; Yumbla, Jairo; López, Julio et al.
2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8895354 (2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019).

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

TY - GEN

T1 - Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm

AU - Peñaloza, John

AU - Yumbla, Jairo

AU - López, Julio

AU - Padilha-Feltrin, Antonio

PY - 2019/9

Y1 - 2019/9

N2 - This paper presents the develop of a computational tool for solve the distribution network reconfiguration problem considering the power losses minimization and distributed generation. The proposed tool satisfies the operational constraints of systems, e.g., voltage limits in nodes and the current capacity of lines. The use of a MINLP and a Genetic Algorithm guarantees convergence to good quality solutions. This is a searching adaptive method - based on natural selection and natural genetic. It improves the solutions in combinatorial problems, in each iteration through their operators (selection, crossover and mutation). 14-Bus, 33-Bus and 69-bus test systems and 880-Bus real system were employed to show the effectiveness and satisfactory results of the proposed tool.

AB - This paper presents the develop of a computational tool for solve the distribution network reconfiguration problem considering the power losses minimization and distributed generation. The proposed tool satisfies the operational constraints of systems, e.g., voltage limits in nodes and the current capacity of lines. The use of a MINLP and a Genetic Algorithm guarantees convergence to good quality solutions. This is a searching adaptive method - based on natural selection and natural genetic. It improves the solutions in combinatorial problems, in each iteration through their operators (selection, crossover and mutation). 14-Bus, 33-Bus and 69-bus test systems and 880-Bus real system were employed to show the effectiveness and satisfactory results of the proposed tool.

KW - Distribution systems

KW - feeders

KW - genetic algorithms

KW - MINLP

KW - optimization

KW - reconfiguration

KW - substations

UR - https://www.scopus.com/pages/publications/85075715343

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DO - 10.1109/ISGT-LA.2019.8895354

M3 - Contribución a la conferencia

AN - SCOPUS:85075715343

T3 - 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

BT - 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

Y2 - 15 September 2019 through 18 September 2019

ER -

Peñaloza J, Yumbla J, López J, Padilha-Feltrin A. Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm. In 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8895354. (2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019). doi: 10.1109/ISGT-LA.2019.8895354

Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Optimization models for integrated planning of electrical energy distribution systems.

Cite this

Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Optimization models for integrated planning of electrical energy distribution systems.

Cite this