Deployment of real-time state estimator and load flow in BC Hydro DMS - challenges and opportunities
Why this work is in the frame
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Bibliographic record
Abstract
The object of this paper is to share experiences on deployment and tuning of real-time advanced applications for distribution and distribution state estimator at BC Hydro control center. During past 4 years, BC Hydro has been engaged in the project to procure Distribution Management System (DMS) with objective to enable real-time power system monitoring and control of distribution network in an optimal manner. The emphasis was placed on advanced network applications such as Volt-Var Optimization that are expected to improve the performance and reliability of distribution network. However, a key application that provides basic inputs to advanced applications is distribution state estimator that calculates power system state of distribution network in the real-time. Deployment of state estimator is a difficult process that relies on a number of prerequisites that include, establishing of distribution network model, calibrating and mapping real-time telemetry, extensive software testing and application tuning.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it