A multi-domain economic dispatch method and system based on game theory and generative network

Abstract

This invention relates to the field of energy system optimization and intelligent scheduling technology, and particularly to a multi-domain economic scheduling method and system based on game theory and generative networks. The invention includes: constructing a master-slave game framework; using a conditional generative adversarial network to generate a sequence of predicted scenarios for future time periods and selecting typical scenarios; the slaves calculating their local optimal trading volume based on time-of-use pricing and typical scenarios; calculating a global consistency variable based on the local optimal trading volumes of all slaves, and dynamically adjusting the penalty factor of the alternating direction multiplier method according to scenario deviations; updating the dual variable based on the global consistency variable until the convergence condition is met, obtaining the converged trading result; evaluating the overall system benefit based on the converged trading result; if the preset target is not achieved, adjusting the master's strategy and re-triggering the game process until the preset target is achieved, outputting the final scheduling plan. This invention significantly improves the game model's ability to handle uncertainty and achieves high accuracy.

Images