Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network

Dimas Okky Anggriawan; Indhana Sudiharto; Suryono Suryono; Anang Tjahjono; Margo Pujiantara

doi:10.1109/iCAST1.2018.8751247

Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network

Dimas Okky Anggriawan
, Indhana Sudiharto
, Suryono Suryono
, Anang Tjahjono
, Margo Pujiantara

Kampus PENS Surabaya

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

2 Citations (Scopus)

Abstract

The standard mathematical model in inverse curve characteristics of overcurrent relay (OCR) refers to the International Electrotechnical Commission (IEC). Inaccurate relay coordination such as reversed curve intersections is possible when using IEC standards. Therefore, in this paper proposes an unconventional OCR curve modeling with a radial system function neural network (RBF Neural Network). RBF is implemented to examine and train data with various number of spreads of actual current as data input and OCR operation time as data output. Coordination of protection of Hess Indonesia Corporation is implemented to make OCR Curve. The R-VCB-09 curve that overlaps with the R-VCB-11 curve is edited to create data points. To obtain the optimal design of OCR curve, the training data is compared with the output of RBF output simulation; From the simulation result, the RBF method using 0.8 spread resulted in minimum error of 1.011%; Thus, the RBF method is very well applied in industrial power systems.

Original language	English
Title of host publication	Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018
Editors	Anang Tjahjono, M. Udin Harun Al Rasyid, Dimas Okky Anggriawan, Ida Anisah, Farid Dwi Murdianto
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	314-317
Number of pages	4
ISBN (Electronic)	9781538675489
DOIs	https://doi.org/10.1109/iCAST1.2018.8751247
Publication status	Published - Oct 2018
Event	1st International Conference on Applied Science and Technology, iCAST 2018 - Manado, Indonesia Duration: 26 Oct 2018 → 27 Oct 2018

Publication series

Name	Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018

Conference

Conference	1st International Conference on Applied Science and Technology, iCAST 2018
Country/Territory	Indonesia
City	Manado
Period	26/10/18 → 27/10/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Unconvetional curve
overcurrent relay
protection
radial basis function neural network

Access to Document

10.1109/iCAST1.2018.8751247

Cite this

Anggriawan, D. O., Sudiharto, I., Suryono, S., Tjahjono, A., & Pujiantara, M. (2018). Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network. In A. Tjahjono, M. U. H. Al Rasyid, D. O. Anggriawan, I. Anisah, & F. D. Murdianto (Eds.), Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018 (pp. 314-317). Article 8751247 (Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iCAST1.2018.8751247

Anggriawan, Dimas Okky ; Sudiharto, Indhana ; Suryono, Suryono et al. / Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network. Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018. editor / Anang Tjahjono ; M. Udin Harun Al Rasyid ; Dimas Okky Anggriawan ; Ida Anisah ; Farid Dwi Murdianto. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 314-317 (Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018).

@inproceedings{0713d48651ff45c1a675c5ab1f4a2780,

title = "Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network",

abstract = "The standard mathematical model in inverse curve characteristics of overcurrent relay (OCR) refers to the International Electrotechnical Commission (IEC). Inaccurate relay coordination such as reversed curve intersections is possible when using IEC standards. Therefore, in this paper proposes an unconventional OCR curve modeling with a radial system function neural network (RBF Neural Network). RBF is implemented to examine and train data with various number of spreads of actual current as data input and OCR operation time as data output. Coordination of protection of Hess Indonesia Corporation is implemented to make OCR Curve. The R-VCB-09 curve that overlaps with the R-VCB-11 curve is edited to create data points. To obtain the optimal design of OCR curve, the training data is compared with the output of RBF output simulation; From the simulation result, the RBF method using 0.8 spread resulted in minimum error of 1.011\%; Thus, the RBF method is very well applied in industrial power systems.",

keywords = "Unconvetional curve, overcurrent relay, protection, radial basis function neural network",

author = "Anggriawan, \{Dimas Okky\} and Indhana Sudiharto and Suryono Suryono and Anang Tjahjono and Margo Pujiantara",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 1st International Conference on Applied Science and Technology, iCAST 2018 ; Conference date: 26-10-2018 Through 27-10-2018",

year = "2018",

month = oct,

doi = "10.1109/iCAST1.2018.8751247",

language = "English",

series = "Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018",

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

pages = "314--317",

editor = "Anang Tjahjono and \{Al Rasyid\}, \{M. Udin Harun\} and Anggriawan, \{Dimas Okky\} and Ida Anisah and Murdianto, \{Farid Dwi\}",

booktitle = "Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018",

address = "United States",

}

Anggriawan, DO, Sudiharto, I, Suryono, S, Tjahjono, A & Pujiantara, M 2018, Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network. in A Tjahjono, MUH Al Rasyid, DO Anggriawan, I Anisah & FD Murdianto (eds), Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018., 8751247, Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018, Institute of Electrical and Electronics Engineers Inc., pp. 314-317, 1st International Conference on Applied Science and Technology, iCAST 2018, Manado, Indonesia, 26/10/18. https://doi.org/10.1109/iCAST1.2018.8751247

Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network. / Anggriawan, Dimas Okky; Sudiharto, Indhana; Suryono, Suryono et al.
Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018. ed. / Anang Tjahjono; M. Udin Harun Al Rasyid; Dimas Okky Anggriawan; Ida Anisah; Farid Dwi Murdianto. Institute of Electrical and Electronics Engineers Inc., 2018. p. 314-317 8751247 (Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018).

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

TY - GEN

T1 - Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network

AU - Anggriawan, Dimas Okky

AU - Sudiharto, Indhana

AU - Suryono, Suryono

AU - Tjahjono, Anang

AU - Pujiantara, Margo

PY - 2018/10

Y1 - 2018/10

N2 - The standard mathematical model in inverse curve characteristics of overcurrent relay (OCR) refers to the International Electrotechnical Commission (IEC). Inaccurate relay coordination such as reversed curve intersections is possible when using IEC standards. Therefore, in this paper proposes an unconventional OCR curve modeling with a radial system function neural network (RBF Neural Network). RBF is implemented to examine and train data with various number of spreads of actual current as data input and OCR operation time as data output. Coordination of protection of Hess Indonesia Corporation is implemented to make OCR Curve. The R-VCB-09 curve that overlaps with the R-VCB-11 curve is edited to create data points. To obtain the optimal design of OCR curve, the training data is compared with the output of RBF output simulation; From the simulation result, the RBF method using 0.8 spread resulted in minimum error of 1.011%; Thus, the RBF method is very well applied in industrial power systems.

AB - The standard mathematical model in inverse curve characteristics of overcurrent relay (OCR) refers to the International Electrotechnical Commission (IEC). Inaccurate relay coordination such as reversed curve intersections is possible when using IEC standards. Therefore, in this paper proposes an unconventional OCR curve modeling with a radial system function neural network (RBF Neural Network). RBF is implemented to examine and train data with various number of spreads of actual current as data input and OCR operation time as data output. Coordination of protection of Hess Indonesia Corporation is implemented to make OCR Curve. The R-VCB-09 curve that overlaps with the R-VCB-11 curve is edited to create data points. To obtain the optimal design of OCR curve, the training data is compared with the output of RBF output simulation; From the simulation result, the RBF method using 0.8 spread resulted in minimum error of 1.011%; Thus, the RBF method is very well applied in industrial power systems.

KW - Unconvetional curve

KW - overcurrent relay

KW - protection

KW - radial basis function neural network

UR - https://www.scopus.com/pages/publications/85069228056

U2 - 10.1109/iCAST1.2018.8751247

DO - 10.1109/iCAST1.2018.8751247

M3 - Conference contribution

AN - SCOPUS:85069228056

T3 - Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018

SP - 314

EP - 317

BT - Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018

A2 - Tjahjono, Anang

A2 - Al Rasyid, M. Udin Harun

A2 - Anggriawan, Dimas Okky

A2 - Anisah, Ida

A2 - Murdianto, Farid Dwi

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st International Conference on Applied Science and Technology, iCAST 2018

Y2 - 26 October 2018 through 27 October 2018

ER -

Anggriawan DO, Sudiharto I, Suryono S, Tjahjono A, Pujiantara M. Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network. In Tjahjono A, Al Rasyid MUH, Anggriawan DO, Anisah I, Murdianto FD, editors, Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 314-317. 8751247. (Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018). doi: 10.1109/iCAST1.2018.8751247

Modeling of Unconventional Overcurrent Relay Curve in the Industrial Power Systems Using Radial Basis Function Neural Network

Abstract

Publication series

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UN SDGs

Keywords

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