A Two-Step Distribution System State Estimator with Grid Constraints and Mixed Measurements
This work addresses the practical need for efficient state estimation in distribution systems with heterogeneous measurement types, but the improvement is incremental.
The paper proposes a computationally efficient two-step method for state estimation in large-scale, unbalanced distribution systems that incorporates mixed real-time measurements from PMUs and smart meters while respecting grid constraints. Tests on a benchmark feeder demonstrate effectiveness.
In this work we study the problem of State Estimation(SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address the problem of including mixed real-time measurements, synchronized and unsynchronized, from phasor measurement units and smart meters, into existing solutions. We propose a computationally efficient two-step method to update a prior solution using the measurements, while taking into account physical constraint caused by buses with no loads. We test the method on a benchmark test feeder to illustrate the effectiveness of the approach.