DCGAN-Based Power Trading Market Dispatch Model Design

DCGAN is one of the most commonly used network models at present. DCGAN is not only more stable than the original GAN training, the generated pictures are clear, but also the features generated by DCGAN have the ability to represent. The structure of the ESM in the day-ahead, intra-day and RTMs is also conducive to flexible and adjustable resources to better exert their own value, fully participate in the market, and obtain better economic and environmental benefits. The main purpose of this paper is to study the design of the dispatching model of the electricity trading market based on DCGAN. This paper analyzes the connection mechanism between the DAM and the intraday market considering NE, and constructs a corresponding clearing optimization model. Experiments show that the EM transaction price with CFDs exists is lower than the EM transaction price without CFDs, and e-commerce sellers can make more profits through CFD transactions. In addition, for e-commerce retailers with better unit sales efficiency, trading through CFDs can greatly increase their profits.