지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 국경수
- 발행연도
- 2020
- 저작권
- 전북대학교 논문은 저작권에 의해 보호받습니다.
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초록· 키워드
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The number of plug-in electric vehicles (PEVs) has rapidly increased owing to the government’s active promotion policy worldwide. Consequently, in the near future, their charging demand is expected to grow enough for consideration in the planning process of the transmission system.
This thesis proposes a stochastic method for modeling the PEV charging demand, of which the time and amount are uncertain. In the proposed method, the distribution of PEVs is estimated by the substations based on the number of electricity customers, PEV expansion target, and statistics of existing vehicles. An individual PEV charging profile is modeled using the statistics of internal combustion engine (ICE) vehicles driving and by aggregating the PEV charging profiles per 154 kV substation, the charging demand of PEVs is determined for consideration as a part of the total electricity demand in the planning process of transmission systems.
The effectiveness of the proposed method is verified through case studies in the Korean power system. It was found that the PEV charging demand has considerable potential as the additional peak demand in the transmission system planning because the charging time could be concentrated in the evening peak time.
This thesis proposes a stochastic method for modeling the PEV charging demand, of which the time and amount are uncertain. In the proposed method, the distribution of PEVs is estimated by the substations based on the number of electricity customers, PEV expansion target, and statistics of existing vehicles. An individual PEV charging profile is modeled using the statistics of internal combustion engine (ICE) vehicles driving and by aggregating the PEV charging profiles per 154 kV substation, the charging demand of PEVs is determined for consideration as a part of the total electricity demand in the planning process of transmission systems.
The effectiveness of the proposed method is verified through case studies in the Korean power system. It was found that the PEV charging demand has considerable potential as the additional peak demand in the transmission system planning because the charging time could be concentrated in the evening peak time.
목차
List of ContentsList of Figures ⅲList of Tables ⅴAbstract ⅵ1. Introduction 11.1 Background 11.2 Method 31.3 Structure 52. EVs in Korean Power System and Existing Modeling of PEV Charging Demand 62.1 Pentration trend and charging demand of PEVs 62.2 PEV queuing model 92.3 Stochastic method for modeling PEV charging demand 113. Stochastic Modeling for PEV Charging Demand 143.1 Distribution of PEVs 163.2 Charging demand of PEVs 203.3 Charging profile of PEV 223.4 Charging demand of PEVs per substation 244. Case Study 264.1 Regional input data for modeling PEV charging demand 264.2 National common data for modeling PEV charging demand 324.3 Verification of PEV modeling results 354.4 Distribution of PEVs in Korean power system 404.5 Modeling results of PEV charging demand 434.6 Characteristics analysis of PEV charging demand 475. Conclusions 57References 59요약(국문초록) 63
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