A novel transactive energy framework for prosumers with battery storage and electric vehicles
Bibliographic record
Abstract
This paper presents a transactive energy (TE) control of residential home battery energy storage systems that compensates residential prosumers for the rescheduling of the charging and discharging of their batteries. The proposed TE framework is evaluated in terms of the annual distribution transformer loss of life reduction and the economic cost to the distribution system operator considering the effect of prosumers owning plug-in electric vehicles with consideration of both time-of-use (TOU) and distributed locational marginal pricing (DLMP) schemes. The results have shown that in case of DLMP pricing the distribution transformer's aging was almost doubled when compared to TOU pricing schemes. Moreover, the application of the proposed TE framework results in extending the lifetime of the distribution transformers under both pricing schemes. Further results have shown that the cost to the electric utility to perform control action is nearly double when using TOU pricing rates versus the rates based on the DLMP pricing. Finally, the annual active power losses in the system were reduced through the proposed TE control framework by up to 2% in the case of DLMP pricing.
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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".