Optimal Scheduling of on-Street EV Charging Stations

Akil M., DOKUR E., BAYINDIR R.

20th IEEE International Power Electronics and Motion Control Conference, PEMC 2022, Brasov, Romanya, 25 - 28 Eylül 2022, ss.679-684 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/pemc51159.2022.9962880
  • Basıldığı Şehir: Brasov
  • Basıldığı Ülke: Romanya
  • Sayfa Sayıları: ss.679-684
  • Anahtar Kelimeler: charge scheduling, Electric vehicles, quadratic programming, rebound peak, smart coordination
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

© 2022 IEEE.The uncoordinated charging of Electric Vehicles (EVs) into the grid increases the stochastic rebound peak on the grid. These charging demands can strain grid equipment at the street charging points in an area. In this study, a smart coordination approach is proposed for charging process management by considering the parking times of EVs. EV types with different characteristics are used in the smart coordination approach. This approach limits the charging powers to the minimum value between the charging point and the EV maximum power ratio. Also, the approach using quadratic programming (QP) for charge scheduling of 20 EV minimizes the cost of daily charging via the Generic Algebraic Modeling System (GAMS). The results show that EV charges occur within the maximum allowable grid limits, reducing the cost of charging. Additionally, the proposed smart coordination prevented the occurrence of daily on-grid rebound peaks at street charging points in the area.