Electric Vehicles In Residential Area Research Articles

Research on Coordinated Charging Control Strategy Load Optimization of Electric Vehicles in Residential Area

For the power utilization load encountered in the construction of electric vehicles (EVs) charging facilities in residential area, the coordinated charging control strategy for EV charging loads is studied. Based on the utilization electric load model, EV model, and distribution network information model of the residential area during the EV user using, the minimizing the fluctuation of the EV users charging cost, utilization power load and EV charging load is established. It is verified by an EV coordinated charging residential area, the sliding recursive algorithm employed can realize peak-load shifting, which can effectively reduce the effect of EV charging peak load and move the power peak to the second half of the night.

Optimal charging of Electric Vehicles in residential area

Abstract Uncoordinated Electric Vehicles (EVs) charging can lead to incremental overloads, power losses and voltage fluctuations which are stressful and harmful for the distribution networks. To overcome these consequences, using EVs charging strategies is becoming of tremendous importance. We propose in this paper a new approach aiming at minimizing the EVs charging cost based on the day-ahead electricity price (DAEP) and battery degradation cost subject to the EVs state of charge (SOC) limits, the EVs maximum power charger, the EVs batteries full charging at the end of the charging period and the distribution feeder subscribed power. Besides, to deal with the EVs arrival and departure time uncertainties, Monte Carlo Simulations (MCS) have been applied based on the probability density functions of these parameters, while the EV’s initial SOC uncertainties are estimated based on their daily mileage. Finally, to show the efficiency of the proposed approach, a single phase Low Voltage (LV) distribution network in a residential area has been deployed with an EVs penetration rate of 50% and 100%. In this study, the optimization problem is solved using linear programming method. The results show that the proposed approach allows to reduce the EVs charging cost by 50% and 38% for 100% and 50% of EVs penetration rate respectively compared to uncoordinated EVs charging.

Optimal Charging/discharging Strategy of Electric Vehicles in Residential Area Considering User Comprehensive Satisfaction

At present, the research on charging/discharging of electric vehicles (EVs) lacks consideration of the user experience, particularly with the aspects of user's convenience and profitability. Therefore, this paper analyses the travelling characteristics and travelling demand of EV users in a residential area and establishes the user comprehensive satisfaction model considering travel convenience and charging/discharging economy. Based on this model, a genetic algorithm is used to optimize the charging/discharging strategy of EVs with the aim of maximizing user comprehensive satisfaction, the validity of the proposed optimization model is verified by results of example. The model is also used to study the impact of large-scale EVs charging/discharging optimization strategy on grid load fluctuation. Based on the load data of a residential area, the simulation is carried out, and the influence of different peak-valley prices on EVs charging/discharging strategy is analysed. Our case analysis shows that the load peak-valley difference is reduced. With the increase of peak-valley electricity price, more users discharge during the peak hours and charge during the peak-off hours, the load peak-valley difference and the load fluctuation decrease accordingly.