DEMAND FACTOR IDENTIFICATION OF ELECTRIC VEHICLE CHARGING POINTS FOR DISTRIBUTION SYSTEM PLANNING

2021 ◽  
Author(s):  
S. Ali ◽  
P. Wintzek ◽  
M. Zdrallek ◽  
C. Böse ◽  
J. Monscheidt ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Distribution System ◽  
System Planning ◽  
Electric Vehicle Charging ◽  
Demand Factor ◽  
Distribution System Planning ◽  
Vehicle Charging

scholarly journals Sparse Measurement-Based Coordination of Electric Vehicle Charging Stations to Manage Congestions in Low Voltage Grids

Smart Cities ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 17-40
Author(s):  
Daniel-Leon Schultis
Keyword(s):  
Electric Vehicle ◽  
Distribution System ◽  
Low Voltage ◽  
Congestion Management ◽  
Load Flow ◽  
Detection Accuracy ◽  
System State ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

The increasing use of distributed generation and electric vehicle charging stations provokes violations of the operational limits in low voltage grids. The mitigation of voltage limit violations is addressed by Volt/var control strategies, while thermal overload is avoided by using congestion management. Congestions in low voltage grids can be managed by coordinating the active power contributions of the connected elements. As a prerequisite, the system state must be carefully observed. This study presents and investigates a method for the sparse measurement-based detection of feeder congestions that bypasses the major hurdles of distribution system state estimation. Furthermore, the developed method is used to enable congestion management by the centralized coordination of the distributed electric vehicle charging stations. Different algorithms are presented and tested by conducting load flow simulations on a real urban low voltage grid for several scenarios. Results show that the proposed method reliably detects all congestions, but in some cases, overloads are detected when none are present. A minimal detection accuracy of 73.07% is found across all simulations. The coordination algorithms react to detected congestions by reducing the power consumption of the corresponding charging stations. When properly designed, this strategy avoids congestions reliably but conservatively. Unnecessary reduction of the charging power may occur. In total, the presented solution offers an acceptable performance while requiring low implementation effort; no complex adaptations are required after grid reinforcement and expansion.

Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm

Energy ◽  
2017 ◽  
Vol 133 ◽  
pp. 70-78 ◽  
Author(s):  
Abhishek Awasthi ◽  
Karthikeyan Venkitusamy ◽  
Sanjeevikumar Padmanaban ◽  
Rajasekar Selvamuthukumaran ◽  
Frede Blaabjerg ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Optimization Algorithm ◽  
Distribution System ◽  
Hybrid Optimization ◽  
Optimal Planning ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Hybrid Optimization Algorithm ◽  
Vehicle Charging

scholarly journals Cost/Benefit Assessment of a Smart Distribution System With Intelligent Electric Vehicle Charging

2014 ◽  
Vol 5 (2) ◽  
pp. 839-847 ◽  
Author(s):  
Lin Zhou ◽  
Furong Li ◽  
Chenghong Gu ◽  
Zechun Hu ◽  
Simon Le Blond
Keyword(s):  
Electric Vehicle ◽  
Distribution System ◽  
Cost Benefit ◽  
Benefit Assessment ◽  
Electric Vehicle Charging ◽  
Vehicle Charging
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