Evaluation of Flexibility Requirement based on Generative Artificial Intelligence and Production Cost Simulation

Le résumé fourni par la source

With the large-scale integration of renewable energy into the power system, the precise allocation of system flexibility requirements has become a key issue in ensuring the demand for regulation capacity. This paper proposes an evaluation method for regulation capacity requirements based on generative artificial intelligence and production cost simulation. Firstly, a renewable energy generation power model is constructed based on generative artificial intelligence, and historical data of renewable energy generation is trained to accurately depict the sequence of renewable energy generation power. Secondly, combined with the production simulation method of the power system, regulation capacity requirement indicators and flexibility requirement indicators applicable to different scenarios are extracted. Finally, an empirical study is conducted using a provincial power grid as a typical case to verify the effectiveness of this method in improving evaluation accuracy and adaptability. The research shows that this method can more comprehensively reflect the characteristics of system regulation requirements, providing strong support for the operation optimization and planning decision-making of new power systems.

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