Coordinated Optimization of Control Parameters for the Stability of Wind-Solar Hybrid Power System via Improved Snake Optimizer Algorithm

Background: Wind-solar hybrid power systems, playing a pivotal role in renewable energy integration and diversification of energy sources, frequently face low-frequency oscillation issues due to inadequate damping under disturbances. These oscillations pose challenges for realizing system stability through coordinated control strategies. Objective: This study aims to utilize intelligent algorithms for optimizing controller parameters, effectively suppress the occurrence of low-frequency oscillations, and thereby significantly improve the overall stability and reliability of wind-solar hybrid power systems. Methods: The power system stabilizer and flexible AC transmission system devices are utilized to enhance the stability of the wind-solar hybrid power system, and an improved snake optimizer algorithm is proposed to optimize the parameters of power system stabilizer and flexible AC transmission system devices, as well as the installation location of flexible AC transmission system devices. Results: Simulations demonstrate that the proposed algorithm shows a notable enhancement in system stability and reliability, with better performance in optimization precision and computation speed when compared to conventional methods. Conclusion: The proposed method effectively mitigates low-frequency oscillations, significantly improving stability and reliability in wind-solar hybrid power systems.