Electric Vehicle Charging Loads in Residential Areas of Apartment Houses

2020 ◽  
Author(s):  
Oula Lehtinen ◽  
Sami Pitkaniemi ◽  
Atte Weckman ◽  
Mikael Aikio ◽  
Michel Mabano ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Residential Areas ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

scholarly journals Ordered Electric Vehicles Charging Scheduling Algorithm Based on Bidding in Residential Area

Information ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 49
Author(s):  
Xiao Cheng ◽  
Jinma Sheng ◽  
Xiuting Rong ◽  
Hui Zhang ◽  
Lei Feng ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Dynamic Scheduling ◽  
Scheduling Algorithm ◽  
Utilization Efficiency ◽  
Residential Areas ◽  
Allocation Policy ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Priority Needs

With the rise of electric vehicles, the key of electric vehicle charging is how to charge them in residential areas and other closed environments. Addressing this problem is extremely important for avoiding adverse effects on the load and stability of the neighboring grids where multi-user centralized charging takes place. Therefore, we propose a charging dynamic scheduling algorithm based on user bidding. First, we determine the user charging priority according to bidding. Then, we design a resource allocation policy based on game theory, which could assign charge slots for users. Due to users leaving and urgent user needs, we found an alternate principle that can improve the flexibility slot utilization of charging. Simulation results show that the algorithm could meet the priority needs of users with higher charging prices and timely responses to requests. Meanwhile, this algorithm can ensure orderly electric vehicle charging, improve power utilization efficiency, and ease pressure on grid loads.

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

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