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.
Methods: 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.