The invention discloses a
virtual power plant and resource matching method and
system based on cooperation preference in the field of
virtual power plant resource matching, and the method comprises the steps: building a photovoltaic,
energy storage and
air conditioning load multi-mode cooperation preference scoring model, and quantifying the economic effectiveness, equipment loss, user comfort and other multi-dimensional features; a double-
tower representation and contrast learning technology is adopted, and resource attributes and service requirements are mapped to a unified
semantic space to calculate the matching degree; in combination with an entropy regular optimal transmission
algorithm, many-to-many flexible matching is realized on the premise of considering grid
power flow safety constraints; and a rolling multi-cycle optimization mechanism is introduced, and a Bayesian update and
reinforcement learning dynamic adjustment strategy is adopted, so that the technical problems of insufficient cooperation intention quantification, complex cross-time constraint and difficult security
risk control in distributed
resource scheduling under high-proportion
new energy access can be solved, and the economy and security of
virtual power plant scheduling can be effectively improved. And the performance stability of the
system under the
new energy fluctuation is enhanced.