An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration

With the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system tr...

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Bibliographic Details
Published in:Applied sciences 2018-01, Vol.8 (2), p.191
Main Authors: Zhao, Yuancheng, Che, Yanbo, Wang, Dianmeng, Liu, Huanan, Shi, Kun, Yu, Dongmin
Format: Article
Language:English
Subjects:
charging strategy
Computer simulation
domestic electric vehicles
Electric power distribution
Electric power systems
Electric vehicles
Electrical loads
Energy efficiency
Integer programming
network transmission loss
Power consumption
seasonal factor
Strategy
the 0-1 integer programming
Transmission loss
Valleys
Variation
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Summary:With the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system transmission loss by optimizing domestic electric vehicle charging loads. In this paper, a domestic electric vehicle charging loads model is first developed by analyzing the key factors that can affect users’ charging behavior. Subsequently, the Monte Carlo method is proposed to simulate the power consumption of a cluster of domestic electric vehicles. After that, an optimal electric vehicle charging strategy based on the 0-1 integer programming is presented to regulate network daily loads. Finally, by taking the IEEE33 distributed power system as an example, this paper tries to verify the efficacy of the proposed optimal charging strategy and the necessity for considering seasonal factors when scheduling electric vehicle charging loads. Simulation results show that the proposed 0-1 integer programming method does have good performance in reducing the network peak-valley gap, voltage fluctuation rate, and transmission loss. Moreover, it has some potential to further reduce power system transmission loss when seasonal factors are considered.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8020191