Multi-virtual power plant dynamic game transaction behavior analysis method based on finite rationality

The invention discloses a multi-virtual-power-plant dynamic game transaction behavior analysis method based on finite rationality, and the method comprises: firstly enabling each virtual power plant bidding main body to fully consider the target demands of the virtual power plant bidding main body at the development stage, and researching the dynamic pricing behaviors of an upper-layer operator; secondly, performing transaction behavior analysis on the multi-virtual power plant by adopting different transaction target modeling, performing evolutionary learning on finite rational transaction behavior information by adopting a particle swarm algorithm, and further improving a self target by learning a competitor strategy so as to gradually optimize the self target; and finally, researching amulti-virtual power plant dynamic game calculation process, and proposing a dynamic game particle swarm optimization algorithm to be combined with an optimization toolbox to solve the game model. Thesolution of the proposed