Optimal allocation of energy storage coordinated with thermal power units for ramp events considering the correlation among offshore wind farms

During extreme meteorological events, the output of wind farms may undergo noticeable fluctuations within short timeframes, leading to wind power ramp events (WPREs), which can result in severe disruptions to the power system, potentially causing widespread outages. However, limited studies have dedicated to addressing the adverse impacts of WPREs on the power system. Moreover, few articles consider the influence of power correlations among multiple wind farms on WPREs. This paper proposes an improved multi‐parameter segmentation algorithm for detecting WPREs based on the generation of wind farm output scenarios with different correlation coefficients. And a bi‐level optimization model is developed for the allocation of electrochemical energy storage and thermal power units to address offshore WPREs, considering the correlations among wind farms. The effectiveness of the proposed approach is validated through case study based on the modified IEEE RTS‐24 node system. Results demonstrate that stronger correlation among wind farms lead to fewer WPREs and lower requirements for thermal power units and electrochemical energy storage capacity, thereby reducing both investment and operational costs.