Table 9 EV penetration levels & overloading.

From: Analysis of multidimensional impacts of electric vehicles penetration in distribution networks

Ref

Country

Penetration

Peak load rise

Conclusions

102

Sweden

55%

Not specified

Peak power capacity is a limiting factor over network infrastructure which may cause problematic issues

103

California, USA

23.9%

10%

EV growth in California will lead to stresses on infrastructure leading to accelerated degradation of equipment

104

Western Kentucky, USA

10%

18%

Grid losses ranging between 40 to 62% during off-peak and peak charging periods. Distributed managed EV charging strategy was able to significantly reduce transformer overloading, thus reducing grid losses

105

Great Britain

100%

30%

The study shows that the GB transmission network can support 100% of domestic charging, with smart charging as a key solution for reducing the percentage of peak load to 9%

106

Tennessee, USA

1.2%

Not specified

Multi-charger framework with V2G mitigates power grid stress during peak hours

107

Egypt

50%

20%

EV can serve up to 96 residential consumers. A fuzzy logic-based valley filling approach may be able to accommodate the EV penetration without peak demand surplus. However, there are challenges facing charging infrastructure

108

Maldives

30%

4.4%

Coordinated charging may lessen the generation capacity requirements to 1.8% which will consequently reduce feeder loading. However, there are challenges facing charging infrastructure

109

Rio de Janeiro- Brazil

30%

11% to 18% in winter and summer

EV can reach up to 2140 consumers. ToU and Real-Time Pricing (RTP) may reduce peak demand between 0.3% and 1.6% in summer, and between 8.9% and 2.6% in wintertime

110

France

26%

30%

EV is projected to serve around 24.4 million individuals in France. The study highlighted the importance of tariff-based, dynamic smart charging systems as well as the V2G operation modes. Ratio of EVs to charging points is challenging