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.
关键词
构网型储能/电网黑启动/分布式能源/优化算法
Key words
grid-forming energy storage/black-start/distributed energy resources/optimization algorithm