Optimal design of battery energy storage system for a wind–diesel off‐grid power system in a remote Canadian community
Bibliographic record
Abstract
This study focuses on the design issue of battery energy storage system (BESS) for a wind–diesel off‐grid power system located in the Whapmagoostui community in Quebec, Canada. The local range of wind speed is from 0 to 24.8417 m/s, and the total yearly load demand in 2013 was 11,176 MWh. An optimal planning model is proposed in this study with the objectives of maximising the economic, environmental benefits, and reliability of the system. The battery energy capacity and the rated capacity of converter are selected as the optimal variables. In order to consider the impacts of renewable energy randomness, the uncertainty of component failures, and the power flow constraints on planning results, quasi‐steady state simulation is adopted to calculate the indices for each design scheme of BESS. The proposed optimal planning model of BESS is implemented and verified in the Whapmagoostui community. Also, a detailed analysis of several scenarios is presented. A base scenario with three diesel generators and four wind turbines is investigated, and its optimal BESS integration reduces fuel consumption by 4% and improves the average annual profit by 19%. The optimal designing of BESS enhances the economic, environmental benefits, and reliability of the wind–diesel system with high fuel prices in the Whapmagoostui community.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".