Online electric vehicle charging with discrete charging rates

Uiterkamp, Martijn H. H. Schoot; Gerards, Marco E. T.; Hurink, Johann L.

doi:10.1016/j.segan.2020.100423

Cited by 6 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Smart charging solutions or (Home) Energy Management Systems ((H)EMS) should be able to spread many of these flexible loads within the current grid capacity if properly designed and implemented; see Figure 2. Schoot Uiterkamp et al [4] have proposed a robust fill-level approach that utilizes baseload and energy generation forecasts to perform online control to optimally peak-shave a household load using an EV. Algorithms for smart charging and optimal integration within energy markets and distribution systems are a widely studied field.…”

Section: Grid Congestion From Ev Chargingmentioning

confidence: 99%

GridShield—Optimizing the Use of Grid Capacity during Increased EV Adoption

Sambeek

Zweistra

Hoogsteen

et al. 2023

WEVJ

View full text Add to dashboard Cite

With the increasing adoption rate of electric vehicles, power peaks caused by many cars simultaneously charging on the same low-voltage grid can cause local overloading and power outages. Smart charging solutions should spread this load, but there is a residual risk of incidental peaks. A decentralized and autonomous technology called GridShield is being developed to reduce the likelihood of a transformer’s fuse blowing when other congestion solutions have failed. It serves as a measure of last resort to protect the grid against local power failures from unpredicted congestion by temporarily limiting the virtual capacity of charging stations. This paper describes the technical development and demonstrates how GridShield can keep a transformer load below a critical limit using simulations and real-world tests. It optimizes grid capacity while ensuring grid reliability.

show abstract

Section: Grid Congestion From Ev Chargingmentioning

confidence: 99%

GridShield—Optimizing the Use of Grid Capacity during Increased EV Adoption

Sambeek

Zweistra

Hoogsteen

et al. 2023

WEVJ

View full text Add to dashboard Cite

show abstract

“…Most of the existing works assume the EV charging current is continuously adjustable from zero whereas only a few research address these two constraints. The discrete charging current is emphasized in [20], [21] while the minimal 6 A non-zero setpoint value is not mentioned. Although authors of [18], [19] accommodate both the minimum 6 A limit as well as the discrete setpoint interval in their algorithms, the discrete setpoint in their research is achieved by rounding up/down to the nearest integer value after the optimisation.…”

Section: Introductionmentioning

confidence: 99%