高比例新能源系统谐振稳定性研究OA

To address challenges such as high risks of resonant stability issues in regions with high renewable energy penetration and difficulties in obtaining white-box models for renewable energy grid-connected converters,this study proposes a model-data fusion-driven approach for renewable energy stability analysis and improvement.Breaking through the reliance on complete white-box models in traditional modal analysis and the shortcomings of impedance analysis limited to source-load equivalence,the method first conducts research on resonant stability in high-proportion renewable energy grid-connected systems using complex frequency-domain modal analysis.It establishes calculation methods for oscillation mode frequency,damping coefficient,participation factor and stability margin.Second,based on impedance scanning data,it constructs frequency equivalent impedance for converters,forming an integrated modal analysis algorithm framework combining mechanism model constraints and data-driven completion to resolve the core issue of missing converter models in engineering.Finally,through a modified IEEE 2-area 4-node system,it identifies high-oscillation-risk nodes when grid-following photovoltaic systems are integrated at high proportions and proposes stability improvement measures using grid-forming energy storage.Simulation results validate the method's accuracy and practicality in engineering applications.