Power loss and thermal modeling of charger circuit for reliability enhancement of EV charging systems

2021 ◽  
pp. 289-325
Author(s):  
Md. Mazharul Islam ◽  
Md. Rabiul Islam
Keyword(s):  
Power Loss ◽  
Thermal Modeling ◽  
Reliability Enhancement ◽  
Ev Charging

Converter Structure-Based Power Loss and Static Thermal Modeling of The Press-Pack IGBT Three-Level ANPC VSC Applied to Multi-MW Wind Turbines

2011 ◽  
Vol 47 (6) ◽  
pp. 2505-2515 ◽  
Author(s):  
Osman S. Senturk ◽  
Lars Helle ◽  
Stig Munk-Nielsen ◽  
Pedro Rodriguez ◽  
Remus Teodorescu
Keyword(s):  
Wind Turbines ◽  
Power Loss ◽  
Thermal Modeling ◽  
The Press

scholarly journals An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization

2020 ◽  
Vol 12 (21) ◽  
pp. 9211 ◽  
Author(s):  
Adil Amin ◽  
Wajahat Ullah Khan Tareen ◽  
Muhammad Usman ◽  
Kamran Ali Memon ◽  
Ben Horan ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Power Loss ◽  
Distribution Network ◽  
Integrated Approach ◽  
Operational Performance ◽  
Binary Particle Swarm Optimization ◽  
Optimization Approach ◽  
Network Reconfiguration ◽  
Medium Voltage ◽  
Ev Charging

The uncoordinated integration of electric vehicles (EVs) severely deteriorates the operational performance of a distribution network. To optimize distribution network performance in an EV charging environment, this paper presents a two-stage optimization approach, which integrates coordinated EV charging with network reconfiguration. A formulation to minimize system power loss is presented, and an optimal solution is obtained using a binary particle swarm optimization algorithm. The proposed approach is tested on a modified IEEE 33-bus medium-voltage node test system, coupled with a low voltage distribution network. Results of the coordinated and uncoordinated EV charging are compared with those of the developed integrated approach, and the operational performance of the system is studied. The results show that the integration of network reconfiguration with coordinated EV charging significantly decreases network power losses and fairly improves voltage profile. Thus, the proposed strategy can lead to improved operational performance of the system while dealing with the growing penetration of EVs in the network.

scholarly journals Optimization of Electric Vehicle Charging Scheduling in Urban Village Networks Considering Energy Arbitrage and Distribution Cost

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 349 ◽  
Author(s):  
Chitchai Srithapon ◽  
Prasanta Ghosh ◽  
Apirat Siritaratiwat ◽  
Rongrit Chatthaworn
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Combustion Engine ◽  
Distribution Network ◽  
Peak Load ◽  
Study Data ◽  
Penalty Cost ◽  
Urban Village ◽  
Electric Vehicle Charging ◽  
Ev Charging

Electric vehicles (EV) replacing the internal combustion engine vehicle may be the solution for the particulate matter (PM) 2.5 pollution issue. However, the uncontrolled charging of EVs would challenge the power system operation. Therefore, it is necessary to implement some level of control over the EV charging procedure, especially in the residential network. In this paper, an optimization of EVs charging scheduling considering energy arbitrage and the distribution network cost of an urban village environment is presented. The optimized strategy focuses on decreasing the loss of EV owners’ energy arbitrage benefit, introduced as the penalty cost. Also, peak demand, power loss, and transformer aging are included in the estimation of the cost function for the distribution network. The optimization problem is solved using the genetic algorithm. As a case study, data from the urban village in Udon Thani, Thailand, are utilized to demonstrate the applicability of the proposed method. Simulation results show a reduction in the loss of energy arbitrage benefit, transformer peak load, power loss and the transformer loss of life. Therefore, the application of the optimized EV charging can prolong transformer lifetime benefiting both the EV owner and the distribution system operator.

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