Three-phase fuzzy feeder models for fast distribution system calculations

Shyi Wen Wang, Wei-Tzer Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Based on 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.

Original languageEnglish
Title of host publication2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Pages1640-1644
Number of pages5
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam
Duration: 2008 Dec 172008 Dec 20

Publication series

Name2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Other

Other2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
CountryViet Nam
CityHanoi
Period08-12-1708-12-20

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Wang, S. W., & Huang, W-T. (2008). Three-phase fuzzy feeder models for fast distribution system calculations. In 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 (pp. 1640-1644). [4795772] (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008). https://doi.org/10.1109/ICARCV.2008.4795772