A Taguchi-based approach for optimal placement of distributed generations for power loss minimization in distribution system

Nand K. Meena; Anil Swarnkar; Nikhil Gupta; K. R. Niazi

doi:10.1109/PESGM.2015.7286180

A Taguchi-based approach for optimal placement of distributed generations for power loss minimization in distribution system

Nand K. Meena
, Anil Swarnkar
, Nikhil Gupta
, K. R. Niazi

College of Engineering and Physical Sciences

Malaviya National Institute of Technology Jaipur
Taibah University

Research output: Chapter in Book/Published conference output › Conference publication

26 Citations (Scopus)

Abstract

This paper introduces the application of Taguchi method to find the optimal allocation of distributed generations (DGs) in distribution network to minimize feeder power losses. The proposed method employs an orthogonal array (OA) to obtain optimal siting and sizing of DGs. The factors of OA are tuned by executing factorial design of experiments iteratively to optimize the objective function. The developed algorithm is investigated on IEEE 33-bus test distribution system and the obtained results are promising when compared with other established methods.

Original language	English
Title of host publication	2015 IEEE Power and Energy Society General Meeting, PESGM 2015
Publisher	IEEE
Volume	2015-September
ISBN (Electronic)	9781467380409
DOIs	https://doi.org/10.1109/PESGM.2015.7286180
Publication status	Published - 30 Sept 2015
Event	IEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015

Conference

Conference	IEEE Power and Energy Society General Meeting, PESGM 2015
Country/Territory	United States
City	Denver
Period	26/07/15 → 30/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Distributed generation
orthogonal array
signal-to-noise ratio
Taguchi method

Access to Document

10.1109/PESGM.2015.7286180

Cite this

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title = "A Taguchi-based approach for optimal placement of distributed generations for power loss minimization in distribution system",

abstract = "This paper introduces the application of Taguchi method to find the optimal allocation of distributed generations (DGs) in distribution network to minimize feeder power losses. The proposed method employs an orthogonal array (OA) to obtain optimal siting and sizing of DGs. The factors of OA are tuned by executing factorial design of experiments iteratively to optimize the objective function. The developed algorithm is investigated on IEEE 33-bus test distribution system and the obtained results are promising when compared with other established methods.",

keywords = "Distributed generation, orthogonal array, signal-to-noise ratio, Taguchi method",

author = "Meena, \{Nand K.\} and Anil Swarnkar and Nikhil Gupta and Niazi, \{K. R.\}",

year = "2015",

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doi = "10.1109/PESGM.2015.7286180",

language = "English",

volume = "2015-September",

booktitle = "2015 IEEE Power and Energy Society General Meeting, PESGM 2015",

publisher = "IEEE",

address = "United States",

note = "IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",

}

Meena, NK, Swarnkar, A, Gupta, N & Niazi, KR 2015, A Taguchi-based approach for optimal placement of distributed generations for power loss minimization in distribution system. in 2015 IEEE Power and Energy Society General Meeting, PESGM 2015. vol. 2015-September, 7286180, IEEE, IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, United States, 26/07/15. https://doi.org/10.1109/PESGM.2015.7286180

A Taguchi-based approach for optimal placement of distributed generations for power loss minimization in distribution system. / Meena, Nand K.; Swarnkar, Anil; Gupta, Nikhil et al.
2015 IEEE Power and Energy Society General Meeting, PESGM 2015. Vol. 2015-September IEEE, 2015. 7286180.

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - A Taguchi-based approach for optimal placement of distributed generations for power loss minimization in distribution system

AU - Meena, Nand K.

AU - Swarnkar, Anil

AU - Gupta, Nikhil

AU - Niazi, K. R.

PY - 2015/9/30

Y1 - 2015/9/30

N2 - This paper introduces the application of Taguchi method to find the optimal allocation of distributed generations (DGs) in distribution network to minimize feeder power losses. The proposed method employs an orthogonal array (OA) to obtain optimal siting and sizing of DGs. The factors of OA are tuned by executing factorial design of experiments iteratively to optimize the objective function. The developed algorithm is investigated on IEEE 33-bus test distribution system and the obtained results are promising when compared with other established methods.

AB - This paper introduces the application of Taguchi method to find the optimal allocation of distributed generations (DGs) in distribution network to minimize feeder power losses. The proposed method employs an orthogonal array (OA) to obtain optimal siting and sizing of DGs. The factors of OA are tuned by executing factorial design of experiments iteratively to optimize the objective function. The developed algorithm is investigated on IEEE 33-bus test distribution system and the obtained results are promising when compared with other established methods.

KW - Distributed generation

KW - orthogonal array

KW - signal-to-noise ratio

KW - Taguchi method

UR - https://www.scopus.com/pages/publications/84956865488

UR - https://ieeexplore.ieee.org/document/7286180

U2 - 10.1109/PESGM.2015.7286180

DO - 10.1109/PESGM.2015.7286180

M3 - Conference publication

AN - SCOPUS:84956865488

VL - 2015-September

BT - 2015 IEEE Power and Energy Society General Meeting, PESGM 2015

PB - IEEE

T2 - IEEE Power and Energy Society General Meeting, PESGM 2015

Y2 - 26 July 2015 through 30 July 2015

ER -

A Taguchi-based approach for optimal placement of distributed generations for power loss minimization in distribution system

Abstract

Conference

UN SDGs

Keywords

Access to Document

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