Two‐layer optimal charging strategy for electric vehicles in old residential areas

Author(s):  
Mingchao Xia ◽  
Tonghe Liao ◽  
Qifang Chen
2021 ◽  
Vol 12 (1) ◽  
pp. 63
Author(s):  
Hui Gao ◽  
Lutong Yang ◽  
Haowei Duan

With the popularization of electric private cars and the increase of charging facilities in residential areas, disorderly charging will affect the power supply efficiency of their distribution transformers and the quality of electricity used by users in residential areas. In severe cases, it may even cause vibration of the power grid, causing serious three-phase imbalance problems such as single-phase burnout of transformers or insulation breakdown of household appliances. This paper analyzes the influencing factors of the unbalanced operation of each phase of the distribution transformer and the electrical load characteristics of typical residential areas. Based on the photovoltaic output of the station area, the charging and discharging capacity of the energy storage system, and the orderly charging plan of residential electric vehicles, a local orderly charging strategy for electric vehicles based on energy routers under the three-phase balance of the residential area is proposed. This strategy can realize the three-phase balance control of the distribution transformer. The effectiveness of the method is verified by a typical scenario example. The control method is changed to minimize the three-phase imbalance in residential areas and improve the low utilization rate of the distribution network and the comprehensive utilization efficiency of adjustable resources in residential areas.


Energy ◽  
2013 ◽  
Vol 60 ◽  
pp. 35-43 ◽  
Author(s):  
I.J. Fernández ◽  
C.F. Calvillo ◽  
A. Sánchez-Miralles ◽  
J. Boal

2019 ◽  
Vol 1314 ◽  
pp. 012075
Author(s):  
He Lei ◽  
Jiong Yan ◽  
Zixia Sang ◽  
Lei Wu ◽  
Zhi Du ◽  
...  

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 770
Author(s):  
Shengxuan Weng ◽  
Yanman Li ◽  
Xiaohua Ding

The coordinated scheduling of plug-in electric vehicle (PEV) charging should be constructed in distributed architecture due to the growing population of PEVs. Since the information and communication technology makes the adversary more permeable, the distributed PEV charging coordination is vulnerable to cyber-attack which may degrade the performance of scheduling and even cause the failure of scheduler task. Considering the tradeoff between system-wide economic efficiency, distribution level limitations and PEV battery degration, this paper investigates the resilient distributed coordination of PEV charging to resist cyber-attack, where the steps of detection, isolation, updating and recovery are designed synthetically. Under the proposed scheduling scheme, the misbehaving PEVs suffering from cyber-attack are gradually marginalized and finally isolated, and the remaining well-behaving PEVs obtain their own optimal charging strategy to minimize the total system cost in distributed architecture. The simulation results verify the effectiveness of theoretical method.


2019 ◽  
Vol 13 (13) ◽  
pp. 2761-2769 ◽  
Author(s):  
Jialei Zhang ◽  
Yunqing Pei ◽  
Jiaming Shen ◽  
Laili Wang ◽  
Tao Ding

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jenn-Jiang Hwang ◽  
Jia-Sheng Hu ◽  
Chih-Hong Lin

The range-extended electric vehicle is proposed to improve the range anxiety drivers have of electric vehicles. Conventionally, a gasoline/diesel generator increases the range of an electric vehicle. Due to the zero-CO2emission stipulations, utilizing fuel cells as generators raises concerns in society. This paper presents a novel charging strategy for fuel cell/battery electric vehicles. In comparison to the conventional switch control, a fuzzy control approach is employed to enhance the battery’s state of charge (SOC). This approach improves the quick loss problem of the system’s SOC and thus can achieve an extended driving range. Smooth steering experience and range extension are the main indexes for development of fuzzy rules, which are mainly based on the energy management in the urban driving model. Evaluation of the entire control system is performed by simulation, which demonstrates its effectiveness and feasibility.


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