DCGAN-based optimal scheduling for energy internet

Abstract

With the gradual depletion of fossil energy sources, the energy internet is attracting more and more attention. However, the energy internet faces problems such as source-load uncertainty and data deficiency in operation, which bring challenges to the reliability and stability of energy internet scheduling operations. Therefore, this paper proposes a DCGAN-based optimal scheduling method for the energy internet. First, DCGAN is used to generate energy internet operation scenarios to provide data support for optimal scheduling of the energy internet. Then, a multi-energy coupled optimal scheduling model of the energy internet is constructed, and optimal scheduling is performed for the generated scenarios. The experimental results show that the proposed method can realize the optimal scheduling of energy internet for the energy internet uncertainty problem and data deficiency problem.