Assessing the Impacts of Energy Storage Systems on the Transmission System Expansion Planning with a Quasi-Static Time Series Approach
Bibliographic record
Abstract
The integration of distributed energy resources and variable renewable energy sources often requires energy storage systems (ESS). Some studies have used quasi-static time series (QSTS) simulations to evaluate the effects of ESS on the distribution system. However, this approach is not used on the transmission system (TS). This work proposes to analyze the impacts of ESS in the expansion planning of a decarbonized TS. Indeed, a management system capable of controlling multiple ESS aggregations is developed and integrated with QSTS simulations. Two scenarios are simulated for the week with the highest peak demand on the Hydro-Québec transmission grid: a base case with large scale deployment of distributed photovoltaic production (3 GW) and 1 million electric vehicles (1.5 GW), and a case with the addition of ESS. Finally, the impacts on the import/export opportunities, the demand response, and the power transit on transmission lines are discussed.
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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".