A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks

Mohammad Nasir; Ali Sadollah; Eneko Osaba; Javier Del Ser

doi:10.1007/978-3-030-62362-3_7

A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks

Mohammad Nasir, Ali Sadollah, Eneko Osaba, Javier Del Ser

Quantum

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

Abstract

In this paper, Neural Network Algorithm is employed for simultaneous placing and sizing Distributed Generators and Shunt Capacitors Banks in distribution network to minimize active power loss and improve the voltage profile. The NNA is a novel developed optimizer based on the concept of artificial neural networks which benefits from its unique structure and search operators for solving complex optimization problems. The difficulty of tuning the initial parameters and trapping in local optima is eliminated in the proposed optimizer. The capability and effectiveness of the proposed algorithm are evaluated on IEEE 69-bus distribution system with considering nine cases and the results are compared with previous published methods. Simulation outcomes of the recommended algorithm are assessed and compared with those attained by Genetic Algorithms, Grey Wolf Optimizer, and Water Cycle Algorithm. The analysis of these results is conclusive in regard to the superiority of the proposed algorithm.

Original language	English
Title of host publication	unknown
Editors	Cesar Analide, Paulo Novais, David Camacho, Hujun Yin
Publisher	Springer
Pages	64-76
Number of pages	13
Volume	12489
ISBN (Print)	978-3-030-62361-6; 978-3-030-62362-3, 9783030623616
DOIs	https://doi.org/10.1007/978-3-030-62362-3_7
Publication status	Published - 27 Oct 2020
Event	21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 - Guimaraes, Portugal Duration: 4 Nov 2020 → 6 Nov 2020

Publication series

Name	0302-9743

Conference

Conference	21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020
Country/Territory	Portugal
City	Guimaraes
Period	4/11/20 → 6/11/20

Keywords

Distributed generations
Shunt capacitors banks
Power loss
Voltage profile
Neural network algorithm

Project and Funding Information

Funding Info
J. Del Ser and E. Osaba would like to thank the Spanish Centro para el Desarrollo Tecnologico Industrial (CDTI, Ministry of Science and Innovation) through the “Red Cervera” Programme (AI4ES project), as well as by the Basque Government through EMAITEK and ELKARTEK (ref. 3KIA) funding grants. J. Del Ser also acknowledges funding support from the Department of Education of the Basque Government (Consolidated Research Group MATHMODE, IT1294-19).

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10.1007/978-3-030-62362-3_7

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Nasir, M., Sadollah, A., Osaba, E., & Del Ser, J. (2020). A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks. In C. Analide, P. Novais, D. Camacho, & H. Yin (Eds.), unknown (Vol. 12489, pp. 64-76). (0302-9743). Springer. https://doi.org/10.1007/978-3-030-62362-3_7

Nasir, Mohammad ; Sadollah, Ali ; Osaba, Eneko et al. / A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks. unknown. editor / Cesar Analide ; Paulo Novais ; David Camacho ; Hujun Yin. Vol. 12489 Springer, 2020. pp. 64-76 (0302-9743).

@inproceedings{028584c61271452da57f2264e6ebe030,

title = "A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks",

abstract = "In this paper, Neural Network Algorithm is employed for simultaneous placing and sizing Distributed Generators and Shunt Capacitors Banks in distribution network to minimize active power loss and improve the voltage profile. The NNA is a novel developed optimizer based on the concept of artificial neural networks which benefits from its unique structure and search operators for solving complex optimization problems. The difficulty of tuning the initial parameters and trapping in local optima is eliminated in the proposed optimizer. The capability and effectiveness of the proposed algorithm are evaluated on IEEE 69-bus distribution system with considering nine cases and the results are compared with previous published methods. Simulation outcomes of the recommended algorithm are assessed and compared with those attained by Genetic Algorithms, Grey Wolf Optimizer, and Water Cycle Algorithm. The analysis of these results is conclusive in regard to the superiority of the proposed algorithm.",

keywords = "Distributed generations, Shunt capacitors banks, Power loss, Voltage profile, Neural network algorithm, Distributed generations, Shunt capacitors banks, Power loss, Voltage profile, Neural network algorithm",

author = "Mohammad Nasir and Ali Sadollah and Eneko Osaba and {Del Ser}, Javier",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 ; Conference date: 04-11-2020 Through 06-11-2020",

year = "2020",

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Nasir, M, Sadollah, A, Osaba, E & Del Ser, J 2020, A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks. in C Analide, P Novais, D Camacho & H Yin (eds), unknown. vol. 12489, 0302-9743, Springer, pp. 64-76, 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, Guimaraes, Portugal, 4/11/20. https://doi.org/10.1007/978-3-030-62362-3_7

A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks. / Nasir, Mohammad; Sadollah, Ali; Osaba, Eneko et al.
unknown. ed. / Cesar Analide; Paulo Novais; David Camacho; Hujun Yin. Vol. 12489 Springer, 2020. p. 64-76 (0302-9743).

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

TY - GEN

T1 - A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks

AU - Nasir, Mohammad

AU - Sadollah, Ali

AU - Osaba, Eneko

AU - Del Ser, Javier

PY - 2020/10/27

Y1 - 2020/10/27

N2 - In this paper, Neural Network Algorithm is employed for simultaneous placing and sizing Distributed Generators and Shunt Capacitors Banks in distribution network to minimize active power loss and improve the voltage profile. The NNA is a novel developed optimizer based on the concept of artificial neural networks which benefits from its unique structure and search operators for solving complex optimization problems. The difficulty of tuning the initial parameters and trapping in local optima is eliminated in the proposed optimizer. The capability and effectiveness of the proposed algorithm are evaluated on IEEE 69-bus distribution system with considering nine cases and the results are compared with previous published methods. Simulation outcomes of the recommended algorithm are assessed and compared with those attained by Genetic Algorithms, Grey Wolf Optimizer, and Water Cycle Algorithm. The analysis of these results is conclusive in regard to the superiority of the proposed algorithm.

AB - In this paper, Neural Network Algorithm is employed for simultaneous placing and sizing Distributed Generators and Shunt Capacitors Banks in distribution network to minimize active power loss and improve the voltage profile. The NNA is a novel developed optimizer based on the concept of artificial neural networks which benefits from its unique structure and search operators for solving complex optimization problems. The difficulty of tuning the initial parameters and trapping in local optima is eliminated in the proposed optimizer. The capability and effectiveness of the proposed algorithm are evaluated on IEEE 69-bus distribution system with considering nine cases and the results are compared with previous published methods. Simulation outcomes of the recommended algorithm are assessed and compared with those attained by Genetic Algorithms, Grey Wolf Optimizer, and Water Cycle Algorithm. The analysis of these results is conclusive in regard to the superiority of the proposed algorithm.

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KW - Shunt capacitors banks

KW - Power loss

KW - Voltage profile

KW - Neural network algorithm

KW - Distributed generations

KW - Shunt capacitors banks

KW - Power loss

KW - Voltage profile

KW - Neural network algorithm

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DO - 10.1007/978-3-030-62362-3_7

M3 - Conference contribution

SN - 978-3-030-62361-6; 978-3-030-62362-3

SN - 9783030623616

VL - 12489

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EP - 76

BT - unknown

A2 - Analide, Cesar

A2 - Novais, Paulo

A2 - Camacho, David

A2 - Yin, Hujun

PB - Springer

T2 - 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020

Y2 - 4 November 2020 through 6 November 2020

ER -

Nasir M, Sadollah A, Osaba E , Del Ser J. A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks. In Analide C, Novais P, Camacho D, Yin H, editors, unknown. Vol. 12489. Springer. 2020. p. 64-76. (0302-9743). doi: 10.1007/978-3-030-62362-3_7

A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks

Abstract

Publication series

Conference

Keywords

Project and Funding Information

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