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Research on Household Charging Optimization of Electric Vehicles Based on Smart Load

[ Vol. 13 , Issue. 7 ]

Author(s):

Xinyuan Zhang, Gang Ma*, Jie Lyu, Xuehong Wu and Mei Zheng   Pages 1051 - 1058 ( 8 )

Abstract:


Background: With the tremendous changes in the world’s fuel structure, the Electric Vehicle (EV) has become a powerful means of mitigating energy and environmental issues.

Objective: However, when an electric vehicle is connected to home, it will cause load fluctuation, which threatens the safe and smooth operation of the user's electricity.

Method: Therefore, in order to solve the problem of power instability when the electric vehicle is connected to home, this paper proposes an optimization strategy for household charging based on Smart Load (SL).

Results: After the daily load fluctuation model of electric vehicle family charging is constructed, the Particle Swarm Optimization (PSO) algorithm is combined to establish the electric vehicle family charging optimization model.

Conclusion: The analysis of the example shows that the proposed method can stabilize the household power, which can effectively solve the adverse effects caused by excessive fluctuation of daily load in the family

Keywords:

Electric vehicle charging, electric spring, smart load, particle swarm optimization.

Affiliation:

School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing, School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing, School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing, School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing, School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing



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