Probabilistic modeling of electric vehicle charging load for probabilistic load flow

2012 ◽  
Author(s):  
Seongbae Kong ◽  
Hyung-Chul Cho ◽  
Jong-Uk Lee ◽  
Sung-Kwan Joo
Keyword(s):  
Electric Vehicle ◽  
Probabilistic Modeling ◽  
Load Flow ◽  
Electric Vehicle Charging ◽  
Probabilistic Load Flow ◽  
Vehicle Charging ◽  
Probabilistic Load

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.

scholarly journals Probabilistic Modeling of Electric Vehicle Charging Pattern Associated with Residential Load for Voltage Unbalance Assessment

Energies ◽  
2017 ◽  
Vol 10 (9) ◽  
pp. 1351 ◽  
Author(s):  
Azhar Ul-Haq ◽  
Marium Azhar ◽  
Yousef Mahmoud ◽  
Aqib Perwaiz ◽  
Essam Al-Ammar
Keyword(s):  
Electric Vehicle ◽  
Probabilistic Modeling ◽  
Voltage Unbalance ◽  
Electric Vehicle Charging ◽  
Vehicle Charging
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