Dr. Mehdi Rahmani-Andebili, State University of New York, NY, US
In the first section of the workshop, a review about smart grid and its characteristics as well as its advantages over traditional grid will be presented.
Then, electric vehicles (EV) and its advantages compared to conventional vehicles, that is, internal combustion engine (ICE) vehicles will be studied. Herein, different types of EVs including hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEV), and battery electric vehicles (BEV) will be defined and their characteristics will be introduced.
In the second section, the applications of EVs in smart grids will be studied. Statistics show that the sales of EVs are increasing, since the transportation electrification has been suggested to mitigate the environmental and energy security issues caused by the ICE vehicles. Therefore, the EVs’ drivers, as the new electricity customers, will consume a considerable percentage of electricity in the near future. This apparently treat can be changed to an opportunity by the power system operators and the EV aggregators to apply the large number of EVs in different activities by managing the EVs’ charging/discharging time. In this workshop, the social characteristics of the drivers and the geographical features of the area will be considered that are the novelties of the workshop, extracted from the recent researches of the lecturer.
In the third section of the workshop, Monte Carlo Markov Chain (MCMC) technique will be introduced to estimate the state of charge (SOC) of EVs. In addition, a numerical study will be presented regarding the mobility analysis of EVs in San Francisco by applying MCMC.
In the following, the workshop’s outline is presented.
Subject 1: Smart grid versus traditional grid
Subject 2: Electric vehicles versus conventional vehicles
Subject 3: Applications of Electric Vehicles in Smart Grids
- EVs and power market demand in smart grid
- EVs and unit commitment problem in smart grid
- EVs and spinning reserve capacity provision problem in smart grid
- EVs and operation of reconfigurable distribution systems in smart grid
- Operation of EV charging stations in smart grid
- Placement and sizing of EV charging stations in smart grid
Subject 4: Applications of Monte Carlo Markov Chain
- Mobility analysis of EVs in San Francisco applying Monte Carlo Markov Chain