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논문 기본 정보

자료유형
학술저널
저자정보
Je-Seok Shin (Hanyang University) In-Su Bae (Kangwon National University) Jin-O Kim (Hanyang University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.13 No.1
발행연도
2018.1
수록면
68 - 77 (10page)

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초록· 키워드

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Regarding demand response (DR) by residential users (R-users), the users try to reduce electricity costs by adjusting their power consumption in response to the time-varying price. However, their power consumption may be affected not only by the price, but also by user convenience for using appliances. This paper proposes a methodology for appliance scheduling (AS) that considers the user convenience based on historical data. The usage pattern for appliances is first modeled applying the copula function or clustering method to evaluate user convenience. As the modeling results, the comfort distribution or representative scenarios are obtained, and then used to formulate a discomfort index (DI) to assess the degree of the user convenience. An AS optimization problem is formulated in terms of cost and DI. In the case study, various AS tasks are performed depending on the weights for cost and DI. The results show that user convenience has significant impacts on AS. The proposed methodology can contribute to induce more DR participation from R-users by reflecting properly user convenience to AS problem.

목차

Abstract
1. Introduction
2. Methodology for Modeling Usage Pattern of Appliance Usage
3. Appliance Scheduling Formulation
4. Numerical Case Study
5. Conclusion
References

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