LAPSE:2023.26048
Published Article
LAPSE:2023.26048
V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs
Hak-Ju Lee, Byeong-Chan Oh, Seok-Woong Kim, Sung-Yul Kim
March 31, 2023
Reliability is an important index which determines the power service and quality provided to customers. As the demand increases continuously and the system changes in accordance with the environmental regulation, the reliability assessment in the distribution system becomes crucial. In this paper, we propose methods for improving the reliability of the distribution system using electric vehicles (EVs) in the system. In this paper, EVs are used as power supplying devices, such as a transportable energy storage system (ESS) which supplies power when fault occurs in the system, and by using a time−space network (TSN) in particular, EV capacity in accordance with the load arrival time was calculated. Unlike other existing reliability assessments, we did not use the average load of customers. Instead, by taking into account the load pattern by times, we considered the priority for load supply in accordance with the failure scenarios and failure times. Based on the priority calculated for each time of failure and failure scenario, plans for EV operation to minimize expected customer interruption cost (ECOST), the reliability index in the distribution system, were established. Finally, a case study was performed using the IEEE RBTS (Roy Billinton Test System) 2 Bus and the performance of the model proposed in this paper was verified based on the result.
Keywords
distribution network, ECOST, electric vehicle, reliability, time–space network, vehicle to grid
Suggested Citation
Lee HJ, Oh BC, Kim SW, Kim SY. V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs. (2023). LAPSE:2023.26048
Author Affiliations
Lee HJ: Smart Power Distribution Laboratory, KEPCO Research Institute, 105 Munji-Ro, Yuseong-Gu, Daejeon 34056, Korea
Oh BC: Department of Electronic and Electrical Engineering, Keimyung University, 1095 Dalgubeol-daero, Daegu 42601, Korea
Kim SW: Smart Power Distribution Laboratory, KEPCO Research Institute, 105 Munji-Ro, Yuseong-Gu, Daejeon 34056, Korea
Kim SY: Electrical Energy Engineering, Keimyung University, 1095 Dalgubeol-daero, Daegu 42601, Korea
Journal Name
Energies
Volume
13
Issue
17
Article Number
E4415
Year
2020
Publication Date
2020-08-26
ISSN
1996-1073
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PII: en13174415, Publication Type: Journal Article
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Mar 31, 2023
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