A Scalable Stochastic Model for the Electricity Demand of Electric and Plug-In Hybrid Vehicles

Enabling Privacy in Vehicle-to-Grid Interactions for Battery Recharging

“…A substantial body of work investigates optimal and heuristic policies for the battery recharge of a population of EVs based on various approaches, ranging from game theory [16,17] to queuing theory [18,19], possibly associated with reinforcement learning techniques [20] or stochastic/fuzzy logic-based predictors [21]. Game models are suitable for scenarios involving multiple selfish entities, each one operating with the aim of optimizing his own utility function, and allow for possible negotiations among them.…”

Research on industrialization of electric vehicles with its demand forecast using exponential smoothing method

“…In order to reduce the dependence on fossil fuels and CO2 emissions, electric vehicles (EVs) and Plug-in Hybrid Electric Vehicles (PHEVs), and other new energy vehicles are developed, introduced and sold in the automobile market. Uses of EVs (such as Leaf, Smart ED, Mitsubishi I EV, BMW Active E, Ford Focus, Honda Fit EV, Tesla Model S*, RAV4 EV) and PHEVs (such as Volt, Prius PHEV, Ford C-Max, Honda Accord, Ford Fusion Energi) maintain rapid growth in recent years, and are expected to rise considerably in the near future in many developed countries and large developing countries around the world (Alizadeh, Scaglione, Davies & Kurani, 2014;Axsen, Kurani, McCarthy & Yang, 2011), with more and more incentive polices to new energy automobile industry are made by main industrial countries and the EVs and PHEVs technique are developed by many leading automobile manufacturers (Li & Zhang, 2012). From the website of U.S. Department of Energy, we can see that US monthly EVs sales shattered the 10,000 unit barrier, which was reported on September 5, 2013, and a 30% increase over the previous monthly record and a 75% increase since the same time last year were estimated.…”

Large Scale Control of Deferrable Domestic Loads in Smart Grids

“…Indeed, rather than considering appliances with smart models supporting advanced control interfaces [6], it is sufficient to deploy simple controlled switches between the electric plugs and the loads and to rely on a stochastic characterization of the appliances' profile. Differently from previous works, this study assumes that the appliances can be disconnected only once (at their activation request), while the control period is longer than the few minutes characterizing the on/off cycle of the thermostatic loads in [7], but shorter than the several hours characterizing the complete charging cycle of electric vehicles in [8].…”

“…Although queuing theory has been already used for scheduling the energy suppliers working on renewable sources [9] or characterizing the aggregated power demand of a number of users [8], our achievements are more general since we study the service delays experienced when the number of electric loads is limited by admission control. This framework also offers some theoretical challenges, since it requires studying the transient period of a queue with a dynamic number of servers.…”