An adjustable resolution modeling and layered hybrid decoupling method for renewable energy power systems

Abstract

The integration of renewable energy has expanded the time scale range of power systems, making the stability dynamics more complex. Analyzing stability issues across different time scales using a globally detailed model by adding more computational resources is a high-cost approach with low resource efficiency. Although existing hybrid simulation methods take into account the multi-time-scale characteristics of the system, the differences in algorithm frameworks among various types of simulation programs lead to a lack of flexibility in modeling and simulation. To address this problem, this paper proposes an adjustable resolution modeling and layered hybrid decoupling method for renewable energy power systems. The adjustable resolution models can control the level of detail in equipment modeling and flexibly adjust the model resolution of different regions according to research requirements. The layered hybrid decoupling method is suitable for regional power grids and renewable energy stations with different topological connection characteristics, which can further enhance the simulation flexibility of complex power systems combined with adjustable resolution models. In the case study, simulation results show that the proposed method can improve the solving efficiency of renewable energy power systems while ensuring reasonable accuracy.