Parameter Identification of PSS/E Wind Turbine Generator Model Using Improved Particles Swarm Optimization Algorithm

Conducting electromechanical transient simulations of Wind Turbine Generator (WTG) models with varying types and control modes on the PSS/E platform is crucial for analyzing the effects from large-scale wind power grid integration. The lack of specific physical significance in the control parameters of the PSS/E WTG model necessitates the identification of these parameters based on the dynamic response of vendor-specific WTG model. However, few studies have concentrated on the parameter identification of the PSS/E WTG model. In this paper, a comprehensive parameter identification strategy combining step-by-step identification and Improved Particles Swarm Optimization (IPSO) algorithm is designed. Additionally, dominant parameters are determined through model analysis and simulation to address the constraints that the PSS/E WTG model possesses high-dimensional characteristics and certain parameters are unidentifiable. Lastly, based on WTG electromagnetic transient model in PSCAD/EMTDC provided by the vendor, with WTG connected to the infinite bus system released by Australian Energy Market Operator (AEMO), the simulation results prove the practicability of parameter identification method proposed in this paper.