Markov chain Monte Carlo simulation model for risk assessment the Power Systems for electromobility use

• Autorzy: Szpytko Janusz , Salgado Duarte Yorlandys

Identyfikatory

DOI

10.2478/jok-2020-0002

• Języki publikacji: EN

Abstrakty

EN

A simulation model to evaluate risks in Power Systems including green Energy sources to generate electricity for electro mobility use is presented in the paper. The model allows to calculate risk indicator that characterize the performance of the Power Systems. The model considers the additional risks of wind and solar variability in the Power Systems, through wind farms and PV farms, respectively. Also, in the recent years, the number of electric vehicles (EVs) on the road have been rapidly increasing. Charging this increasing number of EVs is expected to have an impact on the power grid especially if high charging powers and opportunistic charging are used. Multiple papers have observed that the charging stations are used by multiple users during the day. In a context where electric mobility is gaining increasing importance as a more sustainable solution for urban environments, this work presents the optimization of charging profiles of the potential users of these charging stations. We analyzed the charging profiles in a power grid with renewables sources of energy and we determine the optimal charging profiles for the power grid based on maximizing the energy delivered by renewable sources of energy.

Słowa kluczowe

EN

power system; Monte Carlo simulation; Markov chains

• Wydawca: Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONBiN
• Rocznik: 2020
• Tom: Vol. 50, iss. 1
• Strony: 15--28
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Szpytko Janusz

• AGH University of Science and Technology (Akademia Górniczo-Hutnicza)

autor

Salgado Duarte Yorlandys

• AGH University of Science and Technology (Akademia Górniczo-Hutnicza)

Bibliografia

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