Abstract
Regional comprehensive energy is the focus of current research, and electric vehicles are an important part of regional energy. The orderly participation of regional EV groups in demand response for optimal scheduling of charge and discharge can not only save the charging cost of EV owners, but also smooth the load fluctuation caused by EV charging. In this paper, an Integrated Energy Electric Vehicle Scheduling Model Based on Prospect Theory is proposed. Firstly, the optimal charging and discharging strategy of each Electric Vehicle is obtained Based on the price demand response Model. Secondly, a decision-making method of participation willingness based on the prospect theory is proposed to consider the risk bias of EV owners. Finally, a case study is provided to verify the effectiveness of the proposed method. Compared with electric vehicles participating in random charging, the optimization model proposed in this paper reduces the cost by 32% and the average hourly load by 67%.
Highlights
Electric vehicles (EVs) are rapidly becoming more popular around the world [1], and a high penetration of EVs could result in excessive loads on current grids
This paper proposes an Integrated Energy Electric Vehicle Scheduling Model Based on prospect Theory, and makes the EV group participate in the demand response of Electric Energy more flexibly through the optimization of the Scheduling Model, which reduces the load peak, and enables the EV owners to gain some benefits
This paper proposes an Integrated Energy Electric Vehicle Scheduling Model Based on prospect Theory, and makes the EV group participate in the demand response of Electric Energy more flexibly through the optimization of the Scheduling Model, which reduces the load peak, and enables the EV owners to gain some benefits.In the study of regional energy, the group of electric vehicles can be regarded as the consumer of electric energy, and as the virtual storage container that provides electric energy
Summary
Electric vehicles (EVs) are rapidly becoming more popular around the world [1], and a high penetration of EVs could result in excessive loads on current grids. Controlled charging of electric vehicles will have a considerable impact on power grid demand [2][3], may provide a solution to the grid's excessive load. This paper proposes an Integrated Energy Electric Vehicle Scheduling Model Based on prospect Theory, and makes the EV group participate in the demand response of Electric Energy more flexibly through the optimization of the Scheduling Model, which reduces the load peak, and enables the EV owners to gain some benefits. This research develops an Integrated Energy Electric Vehicle Scheduling Model. A comparison is made between the based on prospect theory regional integrated energy electric vehicle scheduling model and the disordering charging model. I 0 m,l (k) c / d Tc,l n (l) the vehicle l is connected to the grid periods the cost of the vehicle l the battery loss cost the charging/discharging state the time-of-use tariff of the period k the basic charging/discharging state variable the maneuverability of the vehicle battery during the period k the battery loss factor the charging/discharging efficiency of the battery the shortest time required to charge the vehicle l to the desired level the size and number of vehicles the actual profit of the vehicle l f 0,l the charge and discharge cost of the vehicle l in the case of disorderly charge
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