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논문 기본 정보

자료유형
학술저널
저자정보
Zunaib Maqsood Haider (Sungkyunkwan University) Khawaja Khalid Mehmood (Sungkyunkwan University) Saad Ullah Khan (Sungkyunkwan University) Muhammad Kashif Rafique (Sungkyunkwan University) Chul-Hwan Kim (Sungkyunkwan University)
저널정보
한국조명·전기설비학회 조명·전기설비학회논문지 조명·전기설비학회논문지 제31권 제10호
발행연도
2017.10
수록면
102 - 112 (11page)
DOI
10.5207/JIEIE.2017.31.10.102

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초록· 키워드

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Due to the current alarming conditions regarding environmental pollution and growing energy crisis, electric vehicles (EVs) are gaining popularity across the world. According to one estimation [1], there will be 20 million EV fleets on the road by 2020 and that the aggregated sale of EVs will rise to 5.9 million. Integration of large number of EVs to the distribution network will pose serious threats in terms of the reliability and stability of the power system. In order to mitigate the adverse effects on the power system, this paper proposes an approach for the management of EV charging along with smart home load management (SHLM) systems by using a water-filling (WF) algorithm. The proposed framework ensures that the instantaneous load at a distribution transformer is restrained below its rated capacity while consumer preferences are taken into account. In the case that the instantaneous demand increases beyond the transformer capacity, the proposed framework allocates a demand restraining limit (DRL) to each home associated with the transformer. The allocation of the DRL is dynamic and based on the consideration of the convenience factor, demand profile and characteristics of the flexible appliances of all the consumers. The performance of the proposed plan is verified by considering a network consisting of a distribution transformer and five homes.

목차

Abstract
1. Introduction
2. EV Charging Model
3. SHLM Architecture
4. Mathematical Formulation
5. Case Study
6. Conclusion
References

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