Abstract:Faced with the threat of climate change, the world is rapidly adopting Electric Vehicles (EVs). The EV ecosystem, however, is vulnerable to cyber-attacks putting it and the power grid at risk. In this article, we present a security-oriented real-time Co-simulation Testbed for the EV ecosystem and the power grid.
“…To examine the specific EV load during the different times of the day, we create a data-driven model for the arrival and charging times of the EVs. To achieve a realistic EV charging behavior, we independently simulate a Poisson arrival process of EVs to each EVCS [55]. The charging time of these EVs is assumed to follow a truncated Gaussian distribution [55].…”
Section: Case Studies and Simulationsmentioning
confidence: 99%
“…To achieve a realistic EV charging behavior, we independently simulate a Poisson arrival process of EVs to each EVCS [55]. The charging time of these EVs is assumed to follow a truncated Gaussian distribution [55]. The parameters of these models are specified for 1-h windows for a 24-h period.…”
“…To examine the specific EV load during the different times of the day, we create a data-driven model for the arrival and charging times of the EVs. To achieve a realistic EV charging behavior, we independently simulate a Poisson arrival process of EVs to each EVCS [55]. The charging time of these EVs is assumed to follow a truncated Gaussian distribution [55].…”
Section: Case Studies and Simulationsmentioning
confidence: 99%
“…To achieve a realistic EV charging behavior, we independently simulate a Poisson arrival process of EVs to each EVCS [55]. The charging time of these EVs is assumed to follow a truncated Gaussian distribution [55]. The parameters of these models are specified for 1-h windows for a 24-h period.…”
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