A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential Areas

Due to the large number of electric vehicles (EVs) connected to the distribution network of residential areas (RAs), community charging has become a major constraint. The planning of the distribution network in RAs needs to consider the orderly charging load of EVs. In the current study, an orderly...

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Bibliographic Details
Published in:World electric vehicle journal 2021-12, Vol.12 (4), p.216
Main Authors: Xiao, Zhaoxia, Zhou, Yi, Cao, Jianing, Xu, Rui
Format: Article
Language:English
Subjects:
Algorithms
Carbon
Charging
Computer networks
Electric power demand
Electric vehicles
Electrical loads
Electricity distribution
Forecasting
hierarchical optimization
Load
Load distribution
Mathematical models
Monte Carlo simulation
Nodes
nonlinear optimization algorithm
Objective function
Optimization
Optimization algorithms
orderly charging
Product development
Residential areas
Residential communities
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Summary:Due to the large number of electric vehicles (EVs) connected to the distribution network of residential areas (RAs), community charging has become a major constraint. The planning of the distribution network in RAs needs to consider the orderly charging load of EVs. In the current study, an orderly charging planning method for the charging posts and distribution network of RAs was proposed. First, a charging load forecasting model based on the travel characteristics, charging time, and ownership of EVs in RAs was established. Then, a hierarchical orderly charging optimization method, including a distribution network layer and EV access node layer, was devised. The upper layer optimizes the distribution network. The objective function is the minimum variance of the overall load in the RA and the constraint conditions satisfy the overall charging load demand and the capacity of the distributed network. The lower layer optimizes the EV access nodes. The objective function is the minimum variance of the node access load, and the constraint conditions are to meet the regional charging load demand and the optimal power balance demand transmitted from the upper layer to the lower layer. A nonlinear optimization algorithm is employed to solve these objective functions. An IEEE 33 node example was used to obtain the orderly charging power load curves for weekdays and weekends in RAs, and the simulation results prove the effectiveness of the proposed method.
ISSN:2032-6653
2032-6653
DOI:10.3390/wevj12040216