Economic optimal control of source-storage collaboration based on wind power forecasting for transient frequency regulation

Under the dual crisis of climate and energy, clean energy has been rapidly developing, and the wind penetration of power systems has been continuously improving, which has brought much attention to the frequency safety of the power grid. This paper discusses two types of transient frequency regulation (TFR) scenarios with source-storage collaboration, where wind power and energy storage are used as auxiliary TFR resource. First, a distributed ultra-short-term wind power forecasting (WPF) method is proposed to facilitate the TFR resource planning of system operators. Second, a bi-level optimal control strategy is developed, aiming for the lowest TFR cost. According to the TFR power demand at the station level, the TFR powers of wind turbines, battery energy storage units, and conventional thermo-synchronous generators are dynamically allocated by using the accelerated alternating direction method of multipliers algorithm at the unit level. Finally, a case study is conducted to validate the effectiveness of the proposed WPF method and control strategy. Simulation results show that the WPF method ensures good prediction accuracy and qualification rate, and the control strategy effectively optimizes the economy of TFR.