Power Restoration in Integrated Power and Gas Distribution Grids
Bibliographic record
Abstract
Integration of power and gas grids has recently attracted significant attention from researchers around the globe. Utilization of power-to-gas (PtG) and gas-fired generation (GfG) facilities can allow bi-directional energy flow between the two grids. In such a case, PtG and GfG facilities can be jointly operated for multiple purposes including power restoration within an integrated power and gas grid. To that end, this paper proposes a new optimization-based model for power restoration in an integrated power and gas distribution grid. Besides, the model aims to schedule PtG and GfG units for exploiting gas and electricity price arbitrage opportunities in the market. Using historical values of optimization variables, the participation of PtG and GfG facilities in power restoration is measured. A 33-bus power distribution grid is integrated with a 7-node gas grid and employed for numerical studies. The results demonstrate that utilization of PtG and GfG units for power restoration in addition to the main functionality of arbitrage brings a larger revenue for the PtG and GfG units operator. As such, the proposed model in this paper can open up new opportunities for proliferation of PtG and GfG systems and facilitate the integration of power and gas grids in the near future.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".