What is it about?
This works is about charging of electric vehicles in distribution systems, considering the probabilistic behavoiur of arrival and departure times of the EVs owners to their respective houses and Initital state of charge of the batteries. Once the owner of the EV arrives his/her house, he/she can choose in whih period of time wants to recharge the EV, taking into account the energy price that he/she is willed to pay and how fast wants the EV to be recharged.
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Why is it important?
When several variables are considered to be probabilistic, the problem is closer to the reality. In this case, a study period between 18:00 to 07:00 is being considered, but due to the probabilistic behaviour of the EVs (arrival and departure times and initial state of charge), this study period is dynamic. By thye other side, when energy price variation is taken into account, the EV charging is done in a smart way along the study period, so that the energy losses cost is minimized and the EVs owners can be benefit when the EVs are intended to be recharged when the energy price is relatively low.
Perspectives
This type of techniques are useful for utilities and EVs customers, since the energy losses are minimized (due to the smart charging of EVs) and the customer is able to choose when to recharge the EV (as the energy price varies along time). In this way, the benefits for both parts (utlity and custmer) are notable since the point of view of the money.
andres arias
Read the Original
This page is a summary of: Optimal probabilistic charging of electric vehicles in distribution systems , IET Electrical Systems in Transportation, March 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-est.2016.0072.
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