Approximations for Optimal Experimental Design in Power System Parameter Estimation

This paper is about computationally tractable methods for power system parameter estimation and Optimal Experiment Design (OED). The main motivation of OED is to increase the accuracy of power system parameter estimates for a given number of batches. One issue in OED, however, is that solving the OED problem for larger power grids turns out to be computationally expensive and, in many cases, computationally intractable. Therefore, the present paper proposes three numerical approximation techniques, which increase the computational tractability of OED for power systems. These approximation techniques are benchmarked on a 5-bus and a 14-bus case study.