Innovative Aidriven Strategies For Seamless Integration Of Electric Vehicle Charging With Residential Solar Systems

Abstract

The recent increase in the need for electric energy in mobility is increasing the market of electric vehicles with a consequent increase of electrical load and because of their internal and often bidirectional battery they can be electric energy producers. The dissemination of electric energy trading in distribution systems among consumers equipped with renewable energy sources represents a promising tool in enhancing the benefits for prosumers. Energy systems represent the beating heart of the future society. The global energy demand should be satisfied targeting the transition toward a more sustainable system, favoring the adoption of renewable energy sources. In this framework, power systems become more complex because of the increasing installed capacity of geographically dispersed non-programmable power sources. In prospective future scenarios, the advent of electric vehicles (EVs) in the market will play a key role because they will represent a bridge between the electrical and transportation systems thus enabling a higher sustainability. Innovative methodologies have to be developed in order to make a new technology work harmonically with older infrastructures and in the trade of energy as well. Infections dynamics is a research area able to model the propagation of "diseases" in a "population".
The methodologies have been tested on a model, demonstrating that, properly controlling the quantity of vehicles trading the diseases, it is possible to significantly attenuate the contagion. If the issue should become an outbreak, engineering aspects have been deeply investigated in order to properly design the vehicles trading energy. The new design would partially increase the energy needed to exchange power and distribute the charging and discharging among the lines would help in reducing the overload. This paper focuses on the innovative application of energy sharing focusing on the dissemination among residential prosumers equipped with both a residential system and an EV, taking into account the novel advances in AI. Moreover, the aim of the manuscript is to demonstrate how combining these technologies is possible to obtain a solution to the optimization model that allows obtaining profits that are lower than 1% in comparison to the optimal.