Cooperative control strategy for wind-solar-thermal-storage considering the optimization of primary frequency regulation deadband parameters

In systems containing high-penetration wind-solar-thermal-storage hybrid energy, an improper frequency regulation deadband configuration can easily cause abnormal system response and frequency oscillations. To address this issue, this paper constructs a dynamic model for coordinated primary frequency regulation of high-penetration wind-solar-thermal-storage hybrid energy systems and proposes a coordinated control optimization method based on a unified frequency model. First, differentiated deadband models are created based on the frequency regulation characteristics of different units, and a dynamic response model for maximum frequency deviation is derived using linearization and impulse function balance methods. Second, the describing function method is employed for frequency domain modeling, combined with Nyquist curve analysis to examine the impact of deadband parameters on system stability. Finally, an optimization model is constructed with frequency regulation effectiveness and system stability as objective functions, comprehensively considering the effects of wind speed and light intensity on unit output. A genetic algorithm is used to achieve coordinated optimization configuration of multi-unit frequency regulation deadband parameters, and the effectiveness of this optimization control strategy is verified in a simulation system.