Parameter Estimation for Inventory of Load Models in Electric Power Systems

This paper presents an approach to characterize power system loads through estimation of contributions from individual load types. In contrast to methods that fit one aggregate model to observed load behavior, this approach estimates the inventory of separate components that compose the total power consumption. Common static and dynamic models are used to represent components of the load, and parameter estimation is used to determine the amount each load contributes to the cumulative consumption. Trajectory sensitivities form the basis of the parameter estimation algorithm and give insight into which parameters are well-conditioned for estimation. Parameters of interest are contributions to total load and initial conditions for dynamic loads. Results are presented for simulated data to demonstrate the feasibility of the approach.