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Content Provider | IEEE Xplore Digital Library |
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Author | Whei-Min Lin Chia-Sheng Tu Chia-Hung Lin |
Copyright Year | 2013 |
Description | Author affiliation: Dept. of Electr. Eng., Kao-Yuan Univ., Kaohsiung, Taiwan (Chia-Hung Lin) || Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan (Whei-Min Lin; Chia-Sheng Tu) |
Abstract | This study proposes support vector machine-based fuzzy inference systems (SVMFISs) for service restoration strategy in micro-distribution systems (MDSs). An SVMFIS is a multi-layer decision-making model that is used to design a restoration system. In the first stage, it uses a based decision-making layer to evaluate information regarding on-off switching states and capacity of transfer load level by synthesizing the membership grades and weights, and in the second stage it makes a final decision to operate restoration switches. Using an IEEE 30-bus power system and micro-distribution systems, computer simulations are conducted to show the effectiveness of the proposed restoration system. |
Starting Page | 161 |
Ending Page | 162 |
File Size | 243037 |
Page Count | 2 |
File Format | |
ISBN | 9780769549866 |
ISSN | 07303157 |
DOI | 10.1109/COMPSAC.2013.27 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-22 |
Publisher Place | Japan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Circuit breakers Switches Support vector machines Fuzzy logic Input variables Circuit faults Power systems optimal power flow support vector machine fuzzy inference systems micro-distribution systems service restoration strategy |
Content Type | Text |
Resource Type | Article |
Subject | Software Computer Science Applications |
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