V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs
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, w...
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MDPI AG
2020-08-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/13/17/4415 |
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author | Hak-Ju Lee Byeong-Chan Oh Seok-Woong Kim Sung-Yul Kim |
author_facet | Hak-Ju Lee Byeong-Chan Oh Seok-Woong Kim Sung-Yul Kim |
author_sort | Hak-Ju Lee |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T16:46:57Z |
format | Article |
id | doaj.art-7e60ba8d188f45d3ba9490f0e1634122 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T16:46:57Z |
publishDate | 2020-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-7e60ba8d188f45d3ba9490f0e16341222023-11-20T11:30:14ZengMDPI AGEnergies1996-10732020-08-011317441510.3390/en13174415V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVsHak-Ju Lee0Byeong-Chan Oh1Seok-Woong Kim2Sung-Yul Kim3Smart Power Distribution Laboratory, KEPCO Research Institute, 105 Munji-Ro, Yuseong-Gu, Daejeon 34056, KoreaDepartment of Electronic and Electrical Engineering, Keimyung University, 1095 Dalgubeol-daero, Daegu 42601, KoreaSmart Power Distribution Laboratory, KEPCO Research Institute, 105 Munji-Ro, Yuseong-Gu, Daejeon 34056, KoreaElectrical Energy Engineering, Keimyung University, 1095 Dalgubeol-daero, Daegu 42601, KoreaReliability 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.https://www.mdpi.com/1996-1073/13/17/4415reliabilitydistribution networkelectric vehicletime–space networkECOSTvehicle to grid |
spellingShingle | Hak-Ju Lee Byeong-Chan Oh Seok-Woong Kim Sung-Yul Kim V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs Energies reliability distribution network electric vehicle time–space network ECOST vehicle to grid |
title | V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs |
title_full | V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs |
title_fullStr | V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs |
title_full_unstemmed | V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs |
title_short | V2G Strategy for Improvement of Distribution Network Reliability Considering Time Space Network of EVs |
title_sort | v2g strategy for improvement of distribution network reliability considering time space network of evs |
topic | reliability distribution network electric vehicle time–space network ECOST vehicle to grid |
url | https://www.mdpi.com/1996-1073/13/17/4415 |
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