Optimization of shafting and excitation dual damping controller for combined pumped storage and wind power system

The combined pumped storage and wind power system (CPSWPS) generates the problem of low-frequency oscillations, which leads to complex dynamic characteristics and regulation control. Thus, this paper presents an optimization of the shafting and excitation dual damping controller (SEDDC) for CPSWPS. Firstly, detailed equations of the CPSWPS are constructed. Then, a novel shafting damping controller (SDC) and SEDDC are designed and applied in CPSWPS. Furthermore, an improved sparrow search algorithm that combines random walk and golden sine strategy (RGSSA) is proposed. Finally, an optimization method of SEDDC is presented, and its robustness and universality are verified. The results indicate that the designed SDC has more regulation advantages than traditional rotor-side damping controller, and SEDDC can effectively enhance the damping characteristics of CPSWPS subsystems. Compared to traditional optimization algorithms and sparrow search algorithm variants, the proposed RGSSA has a faster convergence speed and better search results. Optimization of SEDDC significantly improves the damping performance of the CPSWPS and enhances the regulation quality of the unit speed in pumped storage power stations and wind power stations. The SEDDC optimized by RGSSA is more effective in low-frequency oscillation suppression than conventional optimization algorithm, which has high robustness and universality under multi-condition disturbance. •Detailed mathematical equations of CPSWPS are constructed.•Novel shafting damping controller and SEDDC are designed and applied.•Improved sparrow search algorithm and optimization method of SEDDC are proposed.•Parameter sensitivity of SEDDC is analyzed.•Robustness and universality of the optimal SEDDC are verified.