Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Fuzzy Logic for Developments and Applications of Unbalance Three-Phase Fuzzy Feeder Models

Authors
Shyi-Wen Wang 0
Corresponding Author
Shyi-Wen Wang
0Department of E. E., Chienkuo Technology University, Taiwan
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.278How to use a DOI?
Keywords
Distribution system, Feeder model, Fuzzy set theory, Three-phase system.
Abstract
Based on the fuzzy set theory, this study introduces three novel three-phase fuzzy feeder models for fast distribution system calculations. These fuzzy models are formulated using three lumped individual phase loads to represent single-phase, three-phase unbalanced, and nonuniformly distributed loads along a feeder. The proposed voltage-drop and line-loss fuzzy models are developed to accurately simulate the total series voltage drop at the end and the total copper loss of a given feeder, respectively. A hybrid fuzzy model is then developed to simulate both voltage drop and line loss accurately. The proposed fuzzy models are applied to a physical feeder. Simulation results show that it is possible to simplify complicated feeders to simple equivalent models in the calculations of voltage profiles and line losses with negligible error, even if there are various transformer connection schemes in the feeder.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.278How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shyi-Wen Wang
PY  - 2006/10
DA  - 2006/10
TI  - Fuzzy Logic for Developments and Applications of Unbalance Three-Phase Fuzzy Feeder Models
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.278
DO  - https://doi.org/10.2991/jcis.2006.278
ID  - Wang2006/10
ER  -