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MC-based risk analysis on the capacity of distribution grids to charge PEVs on 3-ph 0.4-kV distribution grids considering time and location uncertainties

: Bohn, Sven; Feustel, Robert; Agsten, Michael


SAE International journal of passenger cars. Electronic and electrical systems 8 (2015), No.2, Paper 2015-01-0305, 6 pp.
ISSN: 1946-4622
ISSN: 1946-4614
Society of Automotive Engineers (SAE World Congress) <2015, Detroit/Mich.>
Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit BMUB
Erneuerbar Mobil; 16EM1074; Gesteuertes Laden 3.0
Journal Article, Conference Paper
Fraunhofer IOSB ()
Monte Carlo; PEV; Power System; smart grid

The increasing number of Plug-in Electric Vehicles (PEVs) impacts the power grid due to their high demand in power and energy, and uncertainties in the charging behavior. Typical PEVs are charged single-phase up to 32 A (7.2-kVA) or tri-phase up to 32 A (22.0-kVA). Both charging technologies have to be discussed in order to determine their impact on planning and operating of low-voltage distribution grids to assure a reliable and stable PEV charging. Traditional grid planning and analysis methods, which average and evenly distribute PEV loads on the distribution grid, fail in providing a realistic answer about the grid capacity to charge PEVs. The question; How many PEVs can be charged simultaneously on a distribution grid remains unanswered. Therefore, this paper describes a novel metho dology to realistically evaluate the grid capacity for PEV charging on 3-phase 0.4-kV distribution grids. The proposed methodology is a modified Monte Carlo (MC) simulation technique, which analyzes grid capacity with respect to charging location, technical distribution grid limitations, and PEV charging techniques. The MC technique is numerically optimized to analyze large distribution grids and scaled up PEV charging. Results will be compared to traditional analysis techniques.