| Title |
Adjustment of Load Regression Coefficients and Demand-Factor for the Peak Load Estimation of Pole-Type Transformers |
| Authors |
윤상윤(Yun, Sang-Yun) ; 김재철(Kim, Jae-Chul) ; 박경호(Park, Kyung-Ho) ; 문종필(Moon, Jong-Fil) ; 이진(Lee, Jin) ; 박창호(Park, Chang-Ho) |
| Keywords |
Peak load estimation ; pole transformer ; load regression coefficient ; demand-factor |
| 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. |