Charging Load Prediction and Optimized Scheduling of Electric Vehicle Quick Charging Station According to User Travel Simulation

doi:10.12204/j.issn.1000-7229.2020.11.004

Abstract

Abstract:

As a new kind of green means of transportation, electric vehicle has drawn wide attention in the society. This paper presents an optimized scheduling scheme of integrated DC quick charging station for EV according to user travel simulation. Firstly, combining with the concept of user trip-chain, on the basis of the urban road network and the improved road resistance function model, real-time path search algorithm and user charging manner selection method based on fuzzy theory are used to predict the spatial and temporal distribution of charging load of urban EV within a day. Then on the basis of the prediction results, with the principle that the biggest user "charging joint degree" regional charging load will be implemented to construct charging stations in a specific node. In order to minimize the integrated operation cost of the station, the optimal scheduling model is constructed under the constraints of equipment power, user trip demand and battery status. Finally, the optimization scheme is compared with the conventional scheduling scheme that only needs to meet the power balance of the equipment and the EV user needs to charge at rated power on the spot. The results show that the optimized scheduling scheme proposed in this paper can greatly reduce the operating cost of charging stations and has the value of popularization and application.

Key words: electric vehicles, road impedance function, time-space distribution, optimized scheduling scheme

CLC Number:

TM74

LU Shaoping, YING Liming, WANG Xia, LI Wenjie. Charging Load Prediction and Optimized Scheduling of Electric Vehicle Quick Charging Station According to User Travel Simulation[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(11): 38-48.

Figures/Tables 15

Fig.1 Structure diagram of a DC quick charging station

Fig.2 Optimization scheduling framework of a quick charging station

Fig.3 Trip-chain structure

Fig.4 Selection of region start node

Fig.5 Road network topology

Fig.6 Travel time comparison of different road resistance functions

Table 1 The effect comparison of different path searching algorithms

Fig.7 Distribution curve of charging load

Table 2 The proportion of different types of fast charging

Fig.8 Charging station location

Fig.9 Output power of each device in the conventional scheduling scheme

Fig.10 The output of each device in the optimized scheduling scheme

Table 3 Comparison of operating cost of quick charging station元

Table 4 The operation cost savings of quick charging stations in different areas元

Fig.11 Operation information of quick charging station under different traffic conditions

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