Distribution system service restoration using fuzzy Petri Net models

Hong Tzer Yang; Chao Ming Huang

doi:10.1016/S0142-0615(01)00034-5

Distribution system service restoration using fuzzy Petri Net models

Hong Tzer Yang, Chao Ming Huang

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

This paper proposes a new fuzzy Petri Net (FPN) modeling technique to achieve the on-line service-restoration plan of the distribution system. Service restoration is a complicated combinatorial optimization problem that often has a great number of candidate solutions to be selected by the dispatchers. According to practical guidelines and experiences of the dispatchers on the service restoration of distribution systems, an FPN model is built to represent the related knowledge and inference scheme about the task of restoration. The proposed FPN model has been practically tested on a typical distribution system of Taiwan Power Company (TPC). Flexibility and effectiveness of the FPN model have been validated as a decision support for restoration scheduling of distribution systems.

Original language	English
Pages (from-to)	395-403
Number of pages	9
Journal	International Journal of Electrical Power and Energy Systems
Volume	24
Issue number	5
DOIs	https://doi.org/10.1016/S0142-0615(01)00034-5
Publication status	Published - 2002 Jun

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1016/S0142-0615(01)00034-5

Cite this

@article{6d3dd045acee40ab84e6e87b9008807c,

title = "Distribution system service restoration using fuzzy Petri Net models",

abstract = "This paper proposes a new fuzzy Petri Net (FPN) modeling technique to achieve the on-line service-restoration plan of the distribution system. Service restoration is a complicated combinatorial optimization problem that often has a great number of candidate solutions to be selected by the dispatchers. According to practical guidelines and experiences of the dispatchers on the service restoration of distribution systems, an FPN model is built to represent the related knowledge and inference scheme about the task of restoration. The proposed FPN model has been practically tested on a typical distribution system of Taiwan Power Company (TPC). Flexibility and effectiveness of the FPN model have been validated as a decision support for restoration scheduling of distribution systems.",

author = "Yang, {Hong Tzer} and Huang, {Chao Ming}",

note = "Funding Information: The authors are greatly indebted to Mr. Chi-Feng Chen, Senior Engineer of Fenshan District Office, Taiwan Power Company, Kaohsiung, Taiwan, for providing the practical dispatch guidelines and helpful evaluations of the restoration models developed in this paper. Financial supports from the National Science Council, Taiwan, ROC under the Grant no. NSC 89-2213-E-033-043 are acknowledged. Copyright: Copyright 2008 Elsevier B.V., All rights reserved.",

year = "2002",

month = jun,

doi = "10.1016/S0142-0615(01)00034-5",

language = "English",

volume = "24",

pages = "395--403",

journal = "International Journal of Electrical Power and Energy Systems",

issn = "0142-0615",

publisher = "Elsevier Limited",

number = "5",

}

TY - JOUR

T1 - Distribution system service restoration using fuzzy Petri Net models

AU - Yang, Hong Tzer

AU - Huang, Chao Ming

N1 - Funding Information: The authors are greatly indebted to Mr. Chi-Feng Chen, Senior Engineer of Fenshan District Office, Taiwan Power Company, Kaohsiung, Taiwan, for providing the practical dispatch guidelines and helpful evaluations of the restoration models developed in this paper. Financial supports from the National Science Council, Taiwan, ROC under the Grant no. NSC 89-2213-E-033-043 are acknowledged. Copyright: Copyright 2008 Elsevier B.V., All rights reserved.

PY - 2002/6

Y1 - 2002/6

N2 - This paper proposes a new fuzzy Petri Net (FPN) modeling technique to achieve the on-line service-restoration plan of the distribution system. Service restoration is a complicated combinatorial optimization problem that often has a great number of candidate solutions to be selected by the dispatchers. According to practical guidelines and experiences of the dispatchers on the service restoration of distribution systems, an FPN model is built to represent the related knowledge and inference scheme about the task of restoration. The proposed FPN model has been practically tested on a typical distribution system of Taiwan Power Company (TPC). Flexibility and effectiveness of the FPN model have been validated as a decision support for restoration scheduling of distribution systems.

AB - This paper proposes a new fuzzy Petri Net (FPN) modeling technique to achieve the on-line service-restoration plan of the distribution system. Service restoration is a complicated combinatorial optimization problem that often has a great number of candidate solutions to be selected by the dispatchers. According to practical guidelines and experiences of the dispatchers on the service restoration of distribution systems, an FPN model is built to represent the related knowledge and inference scheme about the task of restoration. The proposed FPN model has been practically tested on a typical distribution system of Taiwan Power Company (TPC). Flexibility and effectiveness of the FPN model have been validated as a decision support for restoration scheduling of distribution systems.

UR - http://www.scopus.com/inward/record.url?scp=0036604630&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036604630&partnerID=8YFLogxK

U2 - 10.1016/S0142-0615(01)00034-5

DO - 10.1016/S0142-0615(01)00034-5

M3 - Article

AN - SCOPUS:0036604630

SN - 0142-0615

VL - 24

SP - 395

EP - 403

JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

IS - 5

ER -

Distribution system service restoration using fuzzy Petri Net models

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this