Optimized Operation of NEV Charging Station Based on QoS Mechanism
            
                编号:104
                访问权限:仅限参会人
                                    更新:2021-12-03 10:38:10                浏览:712次
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                摘要
                Since battery electric vehicles (BEVs) and hydrogen fuel cell vehicle (HFCVs) have advantages of zero-emissions and their respective applicable scenarios, the NEV charging station which can provide charging services for both of them will grow rapidly in near future. Its optimized operation is the core concern of the station operators and NEV users. This paper proposes an operation strategy based on QoS mechanism for optimizing operation of the NEV charging station and providing differentiated charging service for NEVs. The explicit modelling of the NEV charging station is introduced and the optimization operation model is established to maximize the profit and obtain the data of charging demand shedding. Then the QoS mechanism is utilized to coordinate the distribution of charging demand reduction in vehicles to achieve better charging satisfaction. The comparison of case study reveals that the Int-serv mechanism and the priority attribute function defined based on Diff-serv mechanism in this paper can well improve the charging satisfaction.
             
            
                关键词
                NEV charging station,optimized operation,priority attribute,QoS mechanism
             
            
            
                    稿件作者
                    
                        
                                    
                                                                                                                        
                                    Yixin Li
                                    College of Electrical Engineering and Automation; Fuzhou University
                                
                                    
                                        
                                                                            
                                    Wendi Zheng
                                    College of Electrical Engineering and Automation; Fuzhou University
                                
                                             
                          
    
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