Hybrid energy storage system and dispatching method therefor

A dispatching method of hybrid energy storage system, the method comprising:

• a CPU detecting in real time whether it receives scheduling instructions, and detecting and obtaining a maximum power of a power-type energy storage medium;
• when the power value required by the dispatching instruction is greater than the maximum power of the power-type energy storage medium, turning on a capacity-type energy storage medium to supplement, otherwise, the power-type energy storage medium being used to respond to the dispatching instruction;
• executing the turning on, inputting the current scheduling instruction requirement parameters, the operating parameters of the power energy storage medium, and the operating parameters of the capacity energy storage medium into the trained convolutional neural network, wherein the convolutional neural network output predicts next scheduling instruction, amplitude and duration;
• when the amplitude of the prediction instruction output by the convolutional neural network is less than the maximum power of the power type energy storage medium and the duration is less than the discharge duration of the power type energy storage medium, responding by the power type energy storage medium to the scheduling instruction;
• when the prediction duration is longer than the power type energy storage medium, and the discharge time of the energy storage medium is long, responding by the capacity energy storage medium directly to the dispatching command;
• and
• when the predicted amplitude exceeds the maximum power that the capacity-type or power-type energy storage medium can respond to alone, responding jointly by both energy storage media to the dispatching instructions.