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Estimating and Calibrating DER Model Parameters Using Levenberg−Marquardt Algorithm in Renewable Rich Power Grid
Armina Foroutan, Sagnik Basumallik, Anurag Srivastava
April 28, 2023 (v1)
Keywords: damped least-squares, DER_A, distributed energy resources, Jacobian, model calibration, model parameter estimation, model validation, nonlinear least squares, OpenDSS
The proliferation of inverter-based distributed energy resources (IBDERs) has increased the number of control variables and dynamic interactions, leading to new grid control challenges. For stability analysis and designing appropriate protection controls, it is important that IBDER models are accurate. This paper focuses on the accurate estimation and parameter calibration of DER_A, a recently proposed aggregated IBDER model. In particular, we focus on the parameters of the reactive power−voltage regulation module. We formulate the problem of parameter tuning as a non-linear least square minimization problem and solve it using the Levenberg−Marquardt (LM) method. The LM method is primarily chosen due to its flexibility in adaptively selecting between the steepest descent and Gauss−Newton methods through a damping parameter. The LM approach is used to minimize the error between the actual measurements and the estimated response of the model. Further, the computational challenges posed b... [more]
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