The Application of Network Topology Based on Autonomous Learning Characteristics in Virtual Power Plants
Chengfu Sun, Hua Yang · 2023
With the emergence of global warming, shortage of fossil energy resources and other issues, the scale of distributed energy installations continues to expand and has become an indispensable and important component of the energy strategy. This article comprehensively considers safety and economic requirements, studies the adaptability and controllability of distributed energy, establishes a virtual power plant (VPP) network topology based on autonomous learning characteristics, and establishes related mathematical models and solution methods. This article takes a typical virtual power plant as an example to verify the application of virtual power plant network topology based on autonomous learning characteristics in virtual power plant research. In the 15th demand response, the total load was 34460MW, the regulated load was 54429MW, and the idle load was 54419MW. At this time, the regulated load and the idle load were very close. The research results of this article will provide a more credible parameter basis for power spot transactions, and are of great significance to the reform and development of the overall energy structure.