面向台风不确定性下沿海源网荷储气协同的三层分布式调度方法

This paper addresses the scheduling challenges associated with offshore wind power within coastal power systems during uncertain typhoons. The proposed tri-layer chance-constrained coordinated scheduling model differs from existing formulations through two major innovations. First, unlike the deterministic scheduling under forecasted typhoons, it implements a scenario-based stochastic programming to address the wind power deviations resulting from the typhoon uncertainties, while additionally factoring in the potential damage to wind turbines. Second, moving beyond the isolated scheduling of thermal units in the transmission network, the proposed model enables a distributed coordination of diverse flexible resources across the distribution and gas networks to mitigate typhoon damage, resulting in a more complex tri-layer scheduling framework. These advancements introduce marked challenges for model solution. To handle this, a mix-sample average approximation method is introduced to reformulate the original random variables involved model into a tractable linear form. Moreover, a novel efficient distributed solution methodology is proposed to tackle the specific nested interactions within the tri-layer scheduling framework. Case studies verify the economic and reliability advantages of the proposed model, with 20.2% average cost saving and over 90% decrease in imbalanced power, as well as the computational superiority of the proposed distributed solution for significantly reduced solution time.