A Study on Electric Vehicle Charging Algorithm Based on Fairness Scheduling in Residential Complex
공동거주지에서 공정성 스케줄링 기반의 전기자동차 충전 알고리즘에 관한 연구
- 주제(키워드) electric vehicle , electric vehicle charging system , charging scheduling , fairness scheduling , smart grid
- 발행기관 고려대학교 대학원
- 지도교수 조충호
- 발행년도 2015
- 학위수여년월 2015. 8
- 학위구분 석사
- 학과 대학원 컴퓨터정보학과
- 원문페이지 41 p
- 실제URI http://www.dcollection.net/handler/korea/000000059829
- 본문언어 영어
- 제출원본 000045841644
초록/요약
This thesis presents a new architecture of Electric Vehicle (EV) charging systems and EV charging scheduling schemes named Fairness Scheduling with the amount of available charging capacity in a residential complex. In the proposed architecture, a Charging Management Server(CMS) manages the EV authentication, communications with home servers, a set of chargers, and so on, while an energy management server(EMS) estimates the amount of available charging capacity for EV charging systems. Existing EV charging method is using a fixed charge rate, and focused on the charging system. If there are not enough resources allocated during EV occurs and the resource is insufficient, a high probability of drop during charging. The algorithm is provided in another way by using the predicted amount chargeable usage to ensure a minimum charge for EV. The charging resources in a flexible charging rate by providing a charging to the fairness is a charging method to maximize efficient use. Based on the estimated available charging capacity for EV charging systems from the EMS, the CMS schedules the EVs using the fairness scheduling that have priorities for arrival time and utilization, respectively. We evaluate the system performance of the fairness index, failure probability, utilization of charging capacity, and so on.
more목차
I. INTRODUCTION 1
I.1 Objectives 2
II. RELATED WORK 3
II.1 Trend of the Electric vehicle 3
II.2 Infrastructure of EV Charging System for the Residential Complex 5
II.3 EV Charging Scheduling 6
III. SYSTEM MODEL 7
III.1 Target System 7
III.2 EV Charging Scenario 8
III.3 Performance measure 11
III.3.1 Definition 11
III.3.2 Average charging ratio 13
III.3.3 Failure probability 13
III.3.4 Utilization 13
III.3.5 Fairness Index 14
IV. PROPOSED ALGORITHM 14
IV.1 Partial charging scheduling considering earliest arrival time 15
IV.2 Example of proposed charging algorithm 16
IV.2.1 Charging case I 18
IV.2.2 Charging case II 19
IV.3 Flow chart 20
V. PERFORMANCE EVALUATION 23
V.1 Simulation parameters 23
V.2 Simulation results 24
V.2.1 Failure probability 24
V.2.2 Utilization 25
V.2.3 Average charging ratio 26
V.2.4 Fairness 27
VI. CONCLUSIONS 29
REFERENCES 30
