The application discloses an
artificial intelligence-based
virtual power plant cooperative control and scheduling method and
system, relates to the technical field of power dispatching, predicts the
power consumption of a power supply area through an
artificial intelligence model, determines the predicted
power consumption corresponding to the power supply area, provides a reliable basis for subsequent scheduling, encodes the output of each distributed energy in the
virtual power plant, takes meeting the predicted
power consumption as an optimization target, can convert a complex scheduling problem into an
optimization problem, reduces the generation difficulty of a scheduling scheme, improves the response capability and control precision of the entire
virtual power plant to grid instructions and market signals, and finally schedules based on the target optimal output parameter coding obtained through optimization, thereby realizing efficient
virtual power plant cooperative control and scheduling.