Resilient Constrained Optimal Operation of Virtual Power Plants in Active Distribution Systems During Wildfires
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a resilience-cost optimization framework for the operation of virtual power plants within an active distribution network during wildfire-induced public safety power shutoff (PSPS) events. The proposed stochastic day-ahead scheduling model integrates price-based demand response programs with coordinated and uncoordinated VPP operation strategies. Wildfire impacts are represented through line and point-ofconnection deratings driven by exogenous risk indices, enabling realistic modeling of PSPS-triggered constraints. Simulation results on a modified IEEE 33-bus test system demonstrate that coordinated optimization significantly improves battery energy storage systems utilization, better aligns renewable dispatch with constraint periods, and reduces reliance on upstream imports.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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