The invention discloses an
electric vehicle charging power aggregation distributed regulation and control method, and relates to the technical field of AC charging
pile charging
power regulation and control, and the method specifically comprises the following steps: carrying out the cleaning and stabilization
processing of
power load and
new energy data, employing an ARIMA model to predict the load, and employing an LSTM-Transform model to predict the
new energy generation power; the upper layer aggregates the total state of the
charging station, including the
electricity price, the load, the total vehicle energy, the total docking power of the lower-layer
single vehicle model and the battery demand; based on an MCTS enhanced DDPG
algorithm, the total charging power is optimized through cost discount rewards and energy penalty; an improved ADMM
algorithm distributes total power to each
pile, and battery stress and heat loss are minimized; and comparing the actual
battery energy with the virtual
battery energy, and updating the data and re-deciding when the energy is inconsistent. According to the invention, three industry bottlenecks of poor real-
time response of
electric vehicle charging, slow large-scale scheduling and difficulty in consideration of economy and battery health are overcome, and
power grid dynamic response acceleration, decision-making efficiency jump and comprehensive benefit breakthrough are realized.