Parameter Tuning for dynamic Digital Twin of Generation Unit in Power Grid

This paper proposes the parameter tuning methods for building the dynamic Digital Twin of generation unit in the power grid. Recently, the Digital Twin is paid more attention to its application in the digitalization of power grid, which could improve the accuracy for state monitoring, support the security assessment and operate the predictive simulation to assist the operator for the optimization of the power system. To achieve them, the investigation of the method for building the Digital Twin is essential. This paper provides four methods for dynamically parameterizing the Digital Twin to keep its adaptivity. The parameter tuning is the sine qua non to keep the Digital Twin alive with the dynamically regulating the parameters for the replication of the physical system feature. To investigate the efficiency for building the Digital Twin by these methods, the Cigré benchmark is utilized as the standard physical power grid. The fourth-order synchronous generator is applied for building the Digital Twin with the parameter estimation methods. The results of the parameter estimation show that two of them have high performance in estimating the parameters for Digital Twin.