Addressing frequency regulation challenges posed by renewable energy integration and peak load growth, this team proposes a collaborative frequency regulation method for heterogeneous flexible loads. It constructs a multi-region distributed prediction model and find solutions that meet constraints through iteration. During load disturbances, it dynamically allocates frequency regulation power to quickly restore system frequency deviation and area control error to zero, significantly improving control precision and frequency regulation effectiveness, compensating for the shortcomings of traditional units and single flexible load frequency regulation.

Technology provider:Nanjing University of Posts and Telecommunications