Fault early warning algorithm and model for terminal boxes based on feature analysis and pattern recognition
The increasing integration of renewable energy sources poses challenges to traditional black-start strategies,particularly in managing the complexity and uncertainty introduced by distributed energy resources(DERs)such as photovoltaics and wind power.This study proposes a black-start strategy based on Grid-Forming Energy Storage Systems(GFESS)to optimize device startup sequencing,load allocation,and synchronization coordination.A mathematical model incorporating the collaboration of GFESS and DERs was developed,addressing startup time,power allocation,and frequency-phase synchronization.The Hybrid Chaotic Bat Algorithm(HCBA)was employed for optimization.Simulation results demonstrate that the proposed strategy effectively reduces system recovery time,enhances load balancing,and improves grid stability,offering theoretical and technical guidance for integrating GFESS with renewable energy sources.
grid-forming energy storageblack-startdistributed energy resourcesoptimization algorithm
万方数据
维普
