Abstract

One of the key challenges facing distribution network operators today is the expected increase in electric vehicles. The increased load from EV charging will result in distribution assets becoming “thermally overloaded” due to higher operating temperatures. In addition to the issue of increased load, we have a limited understanding of the behavior and performance of the distribution assets and their potential to accept the increased load. It has been well acknowledged that EVs increase the network loading level, leading to a reduced system reliability performance. These results have not been quantified in a realistic case study, including actual cable rating and design properties. To address this gap, this paper proposes a novel methodology in the existing power network reliability evaluation framework, which quantifies the impact of different EV penetration levels on distribution network reliability, and the thermal performance of distribution cables. Novel approaches using smart switching technology and emergency uprating are proposed to reduce the peak power demand caused by EVs, in order to reinforce the reliability of the grid and to boost the maximum allowable EV penetration in the distribution networks. The methodology was applied using a case study on the modified EV-integrated RBTS (Roy Billinton Test System) bus four distribution network. The results showed that the negative impact of EVs on network performance can be mitigated by the implementation of smart switching technology. The peak demand under contingencies can also be accepted by the cables though emergency uprating. The frequency and duration of EV demand interruption was also significantly reduced. Thus, a higher EV penetration can be accommodated.

Highlights

  • The rapid development of electric vehicles (EV) has caused heavy stress to conventional power grids

  • This study introduced an EV demand not supplied (EDNS) (EV Demand Not Satisfied, MWh/yr) index that represents that the charging demand of the EVs might not be fully satisfied since less energy can be charged into the batteries during a period of emergency dispatching

  • The network cable aging was almost doubled from 71.7 to 114.6 h/yr, when the EV penetration was increased to 100%

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Summary

INTRODUCTION

The rapid development of electric vehicles (EV) has caused heavy stress to conventional power grids. The optimization allows the network operator to decide whether one or more EV charging parks should be disconnected to prevent cable overloading, to satisfy as many EV charging demands as possible, and to minimize the cost of power losses and non-delivered energy This methodology utilizes the original RTBS bus four network as a realistic example of an existing distribution network in an urban area. The growth rate of EENA along with the increase of PEV% is significantly larger for the emergency rating case

CONCLUSION
Findings
DATA AVAILABILITY STATEMENT

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