A Two-Step Distribution System State Estimator with Grid Constraints and Mixed Measurements
Miguel Picallo Cruz, Adolfo Anta, Ara Panosyan, Bart De Schutter

TL;DR
This paper introduces a two-step state estimation method for large-scale unbalanced distribution systems that integrates mixed measurements and grid constraints, improving accuracy and computational efficiency.
Contribution
A novel two-step approach that efficiently incorporates mixed real-time measurements and physical grid constraints into distribution system state estimation.
Findings
Effective on benchmark test feeders
Handles unbalanced 3-phase systems
Improves estimation accuracy
Abstract
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.
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Taxonomy
TopicsPower System Optimization and Stability · Optimal Power Flow Distribution · Smart Grid Energy Management
