Appliance Load Profile Assessment for Automated DR Program in Residential Buildings

• 발행기관: 한국스마트미디어학회
• 저자명: Nosirbek Abdurazakov Ardiansyah Deokjai Choi
• 간행물 정보: 『스마트미디어저널』Vol8, No.4, 72~79쪽, 전체 8쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2019.12.30

영문 초록

The automated demand response (DR) program encourages consumers to participate in grid operation by reducing power consumption or deferring electricity usage at peak time automatically. However, successful deployment of the automated DR program sphere needs careful assessment of appliances load profile (ALP). To this end, the recent method estimates frequency, consistency, and peak time consumption parameters of the daily ALP to compute their potential score to be involved in the DR event. Nonetheless, as the daily ALP is subject to varying with respect to the DR time ALP, the existing method could lead to an inappropriate estimation; in such a case, inappropriate appliances would be selected at the automated DR operation that effected a consumer comfort level. To address this challenge, we propose a more proper method, in which all the three parameters are calculated using ALP that overlaps with DR time, not the total daily profile. Furthermore, evaluation of our method using two public residential electricity consumption data sets, i.e., REDD and REFIT, shows that our energy management systems (EMS) could properly match a DR target. A more optimal selection of appliances for the DR event achieves a power consumption decreasing target with minimum comfort level reduction. We believe that our approach could prevent the loss of both utility and consumers. It helps the successful automated DR deployment by maintaining the consumers’ willingness to participate in the program.

목차

I. INTRODUCTION

II. RELATED WORK

III. PROBLEM STATEMENT

IV. PROPOSED METHOD

V. EXPERIMENTAL RESULTS AND PERFORMANCE EVALUATION

VI. CONCLUSION

키워드

Demand Response Energy Management Systems Load Profile Residential Buildings Smart Appliances