Regional Autonomous Optimization Scheduling of Active Distribution Networks

With a high percentage of new energy sources connected to the grid, existing centralized control methods have limitations in scheduling and data interaction, and cannot effectively meet the demand for distributed energy consumption and the economic goals of the distribution network. This paper proposes an active distribution network optimization method that effectively integrates global centralized optimization and regional decentralized autonomy. By considering loads, distributed power sources and energy storage systems as distributed resources, constructing a framework of ADN management body-regional regulation point-distributed resource unit, introducing an objective cascade algorithm to decouple multi-objective shared variables, and establishing a regional autonomous optimization model based on ATC in order to optimize the overall economic objective of the distribution network and improve the overall system performance.