Distribution State Estimation (DSE) provides an alternative, measurement-driven method to compute network states (voltages, angles, currents, and powers) in the electric distribution system. DSE refines initial values computed by power flow (PF) and Feeder Load Management (FLM) by fitting them to available SCADA measurements using a Weighted Least Squares (WLS) algorithm.

DSE is executed on demand against real-time data after Power flow execution has completed. It takes Load Allocation and Power flow results as initial conditions and iteratively adjusts them to best fit measured values, improving accuracy while also assessing data quality. DSE incorporates bad data detection and flags measurements whose normalized residuals exceed a configured threshold which indicates suspect SCADA data for further review.

Conceptually, DSE minimizes the weighted error between measured and calculated quantities. A Jacobian matrix captures sensitivities of calculated quantities to changes in state variables (voltages). The solution proceeds by iteratively reducing residuals until convergence is achieved or a stopping criterion is met. DSE provides solution residual metrics (initial, final, and percent improvement), iteration counts, solution time, and a p-value indicator to assist users in evaluating solution quality.

DSE is gated behind its own license.