Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

주상 변압기 최대부하 추정을 위한 부하상관계수 및 수용율 조정Adjustment of Load Regression Coefficients and Demand-Factor for the Peak Load Estimation of Pole-Type Transformers

Other Titles
Adjustment of Load Regression Coefficients and Demand-Factor for the Peak Load Estimation of Pole-Type Transformers
Authors
윤상윤김재철박경호문종필이 진박창호
Issue Date
Feb-2004
Publisher
대한전기학회
Keywords
Peak load estimation; pole transformer; load regression coefficient; demand-factor; Peak load estimation; pole transformer; load regression coefficient; demand-factor
Citation
전기학회논문지 A권, v.53, no.2(A), pp.87 - 96
Journal Title
전기학회논문지 A권
Volume
53
Number
2(A)
Start Page
87
End Page
96
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/20487
ISSN
1229-2443
Abstract
This paper summarizes the research results of the load management for pole transformers done in 1997-1998 and 2000-2002. The purpose of the research is to enhance the accuracy of peak load estimation in pole transformers. We concentrated our effort on the acquisition of massive actual load data for modifying the load regression coefficients, which related to the peak load estimation of lamp-use customers, and adjusting the demand-factor coefficients, which used for the peak load prediction of motor-use customers. To enhance the load regression equations, the 264 load data acquisition devices are equipped to the sample pole transformers. For the modification of demand factor coefficients, the peak load currents are measured in each customer and pole transformer for 13 KEPCO (Korea Electric Power Corporation) distribution branch offices. Case studies for 50 sample pole transformers show that the proposed coefficients could reduce estimating error of the peak load for pole transformers, compared with the conventional one.
Files in This Item
Go to Link
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Jae Chul photo

Kim, Jae Chul
College of Engineering (School of Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE