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Title: A Systematic Review of Uncertainty Handling Approaches for Electric Grids Considering Electrical Vehicles
Authors: Auza, Anna 
Asadi, Ehsan 
Chenari, Behrang 
Gameiro da Silva, Manuel 
Keywords: uncertainty; uncertainty analysis; electric vehicle; smart grids; demand response; vehicle to grid
Issue Date: 2023
Publisher: MDPI
Project: project grant “Building HOPE: Holistic Optimization of Prosumed Energy in buildings” (reference: POCI-01-0247-FEDER-045930), co-financed by European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme (COMPETE 2020) of the Portugal 2020 Framework 
CCDRC (RH—2020: CENTRO-04-3559-FSE- 000144) project 
Serial title, monograph or event: Energies
Volume: 16
Issue: 13
Abstract: This paper systematically reviews the techniques and dynamics to study uncertainty modelling in the electric grids considering electric vehicles with vehicle-to-grid integration. Uncertainty types and the most frequent uncertainty modelling approaches for electric vehicles are outlined. The modelling approaches discussed in this paper are Monte Carlo, probabilistic scenarios, stochastic, point estimate method and robust optimisation. Then, Scopus is used to search for articles, and according to these categories, data from articles are extracted. The findings suggest that the probabilistic techniques are the most widely applied, with Monte Carlo and scenario analysis leading. In particular, 19% of the cases benefit from Monte Carlo, 15% from scenario analysis, and 10% each from robust optimisation and the stochastic approach, respectively. Early articles consider robust optimisation relatively more frequent, possibly due to the lack of historical data, while more recent articles adopt the Monte Carlo simulation approach. The uncertainty handling techniques depend on the uncertainty type and human resource availability in aggregate but are unrelated to the generation type. Finally, future directions are given.
ISSN: 1996-1073
DOI: 10.3390/en16134983
Rights: openAccess
Appears in Collections:FEUC- Artigos em Revistas Internacionais
FCTUC Eng.Mecânica - Artigos em Revistas Internacionais

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