This paper presents a multi-objective approach to designing an optimal PV-BES assisted EV fast charging station. The trade-offs between lifetime net present value (NPV), energy independence, and grid power reduction are analyzed using particle swarm optimization and real 50kW fast charging data. Our results show a maximum lifetime profit of close to 4M euro. Furthermore, for only a 8% decrease in profit the we can achieve up to 62% of the maximum energy independence and 46% peak power demand reduction. This show that EV fast charging stations can become more significantly more sustainable and have a less fluctuating demand, for very little reduction in profits.
|Title of host publication||Proceedings of the 2022 IEEE Transportation Electrification Conference & Expo (ITEC)|
|Number of pages||5|
|Publication status||Published - 2022|
|Event||2022 IEEE Transportation Electrification Conference & Expo (ITEC) - Anaheim, United States|
Duration: 15 Jun 2022 → 17 Jun 2022
|Conference||2022 IEEE Transportation Electrification Conference & Expo (ITEC)|
|Period||15/06/22 → 17/06/22|
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