Optimal Design of Community Battery Energy Storage Systems With Prosumers Owning Electric Vehicles
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Bibliographic record
Abstract
This paper presents a novel approach that aims to assist a distribution system operator to intelligently design the community battery energy storage systems considering high penetration of prosumers equipped with rooftop solar photovoltaics and electric vehicles. The design problem is mathematically formulated after incorporating the battery storage system's cost model. The results show the capability of the proposed approach to optimally design the community battery energy storage systems. This results in improving the voltage profile, reducing the power loss, and mitigating the distribution transformer aging while attaining a profit from the energy arbitrage. Also, the obtained results show a positive net present value of using the community battery energy storage systems, which demonstrates the cost-effectiveness of the proposed optimal design approach. The proposed approach may represent an effective tool for future disturbed energy resources management systems.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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