Validating and Improving an Aggregated EV Model for Energy Systems Evaluation

Fachrizal, Reza, 1993- (author): Uppsala universitet,Byggteknik och byggd miljö,Built Environment Energy Systems Group,Univ Southern Denmark, Dept Mech & Elect Engn, Ctr Ind Elect CIE, DK-6400 Sonderborg, Denmark.

Munkhammar, Joakim, 1982- (author): Uppsala universitet,Byggteknik och byggd miljö,Built Environment Energy Systems Group

Ebel, Thomas (author): Department of Mechanical and Electrical Engineering, Centre for Industrial Electronics (CIE), University of Southern Denmark, S⊘nderborg, Denmark,Centre for Industrial Electronics,Univ Southern Denmark, Dept Mech & Elect Engn, Ctr Ind Elect CIE, DK-6400 Sonderborg, Denmark.

Adam, Rebecca (author): Department of Mechanical and Electrical Engineering, Centre for Industrial Electronics (CIE), University of Southern Denmark, S⊘nderborg, Denmark,Centre for Industrial Electronics,Univ Southern Denmark, Dept Mech & Elect Engn, Ctr Ind Elect CIE, DK-6400 Sonderborg, Denmark.

(creator_code:org_t)

Paris : IEEE, 2023
2023
English.
In: 2023 11th International Conference on Smart Grid, icSmartGrid. - Paris : IEEE. - 9798350310665 - 9798350310672

Related links:: https://urn.kb.se/re...; show more...; https://urn.kb.se/re...; https://doi.org/10.1...; https://urn.kb.se/re...; show less...

Abstract Subject headings

With the trend in transportation electrification, electric vehicle (EV) charging/discharging scheduling has become an area of concern. Scheduling can help manage EV charging/discharging activities. Besides, it is also valuable for energy systems evaluation, in which case modeling the individual EV has high complexity and requires a long computation time due to too many EVs. The aggregated model significantly reduces computation time but may sacrifice accuracy. This work investigates the trade-off between accuracy and computational time when designing intelligent EV charging/discharging scheduling by comparing the individual and aggregated models. This work first provides a detailed problem formulation. The simulation results show that the aggregated model can achieve similar energy system performance estimations from the energy-matching perspective compared to the individual model, given that the system allows vehicle-to-grid (V2G). Otherwise, the aggregated model will overestimate the performance. Thus, this work, in the meantime, proposes an extra constraint to avoid such overestimation when V2G is not allowed. Given the validated accuracy of the aggregated model and its advantage of low complexity and computation time, the aggregated model is more suitable for assessing large (e.g., city-level) energy systems.

TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Civil Engineering (hsv//eng)

charging scheduling
vehicle-to-grid
energy system
aggregated model
Engineering Science with specialization in Civil Engineering and Built Environment
Teknisk fysik med inriktning mot byggteknik och byggd miljö

By the author/editor: Qian, Kun; Fachrizal, Reza, ...; Munkhammar, Joak ...; Ebel, Thomas; Adam, Rebecca

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Environmental En ...; and Energy Systems

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.