Economic Dispatch for Power Systems Amidst Typhoon Events

Enhancing the resilience of power systems against the threats posed by typhoon events has become increasingly critical. Evaluating the potential damage to specific transmission lines prior to a typhoon’s arrival and implementing targeted reinforcement measures, along with achieving optimal economic dispatch during the typhoon, are essential challenges that must be addressed. To tackle these issues, this paper presents a novel economic dispatch strategy tailored for typhoon scenarios. This strategy utilizes Long Short-Term Memory (LSTM) neural networks to construct a power generation model for wind farms under typhoon scenarios and evaluates the power line fault conditions in the system at various time intervals during these scenarios. Furthermore, it incorporates an economic dispatch model that operates post-fault to schedule the power output of generation resources at different times. Finally, the efficacy of this strategy is demonstrated through an enhanced IEEE 14-node case study, showcasing its significant potential for improving the system’s adaptability to typhoon-related challenges.