Title :
Fuzzy feeder models for distribution system calculations
Author_Institution :
Dept. of Electr. Eng., Chienkuo Technol. Univ., Changhua, Taiwan
Abstract :
Using fuzzy set theory, this study presents three novel distribution fuzzy feeder models to simplify complicated distribution system calculations. These fuzzy models are formulated using lumped distribution transformer(s) and lumped load(s) to represent non-uniformly distributed loads, which vary by time and type of day and relate to voltage, along a feeder. These equivalent models are developed to accurately simulate first, the total series voltage drop at the end of given feeder, and then the total copper and core losses. Finally a hybrid model is developed to simulate both voltage drop and feeder losses accurately. A physical feeder is used as a sample feeder to demonstrate the correctness of these proposed fuzzy feeder models.
Keywords :
electric potential; fault diagnosis; fuzzy set theory; power distribution; power transformers; distribution system calculations; feeder losses; fuzzy feeder models; fuzzy set theory; lumped distribution transformer; lumped load; nonuniformly distributed loads; physical feeder; total copper losses; total core losses; total series voltage drop; Barium; Copper; Data models; Fuzzy set theory; Impedance; Load modeling; Pragmatics; Distribution system; Feeder models; Fuzzy set theory; Voltage drop;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707405