The electricity market is constantly growing and is facing unprecedented planning needs. Loads are no longer as systematic as in the past due to changing user habits and the likewise for the generation of energy due to the unpredictability of renewable sources. Demand response (DR) strategies are the basis of resource planning, but these methods cannot ignore the presence of accurate load models that can predict behavior. In this panorama, the prediction of the loads due to the recharging of electric vehicles, offers interesting ideas of complexity, which make it a topic of open research. In this paper we will show a method of reconstruction of charging profiles through Markov Chains, starting from distributions derived from experimental data.
A Model of Electric Vehicle Recharge Stations based on Cyclic Markov Chains
Gruosso G.;Storti Gajani G.
2019-01-01
Abstract
The electricity market is constantly growing and is facing unprecedented planning needs. Loads are no longer as systematic as in the past due to changing user habits and the likewise for the generation of energy due to the unpredictability of renewable sources. Demand response (DR) strategies are the basis of resource planning, but these methods cannot ignore the presence of accurate load models that can predict behavior. In this panorama, the prediction of the loads due to the recharging of electric vehicles, offers interesting ideas of complexity, which make it a topic of open research. In this paper we will show a method of reconstruction of charging profiles through Markov Chains, starting from distributions derived from experimental data.| File | Dimensione | Formato | |
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