Title |
An Assessment Method for Voltage Sag in Power Distribution System using a Fuzzy Model |
Authors |
윤상윤(Yun, Sang-Yun) ; 오정환(O, Jeong-Hwan) ; 김언석(Kim, Eon-Seok) ; 김낙경(Kim, Nak-Gyeong) ; 김재철(Kim, Jae-Cheol) |
Keywords |
Voltage Sag ; CBEMA Curve ; SCBEMA curve ; Risk Assessment ; Power Quality |
Abstract |
In this paper, we proposes a method for assessing the effect of voltage sag in power distribution systems using fuzzy model. The proposed method is based on the reliability data of distribution system and specified computer business equipment manufacturer association(SCBEMA) curve that express the representative power acceptability curve by voltage sag for each customer type. The SCBEMA curves are made by using the CBEMA curves obtained from the experiment for the customers sensitive equipment. In order to transform SCBEMA curves to the differential damage by voltage sag, a fuzzy model is used. The proposed fuzzy model is composed to reflect two parameters of customers damage by voltage sag. One is the duration and magnitude of voltage sag and the other is the different risk due to the customer types. The Monte Carlo simulation method and the historical reliability data in KEPCO ae used for case studies. |