Performance analysis of a real-time decentralized algorithm for coordinated PEV charging at home and workplace with PV solar panel integration
Bibliographic record
Abstract
Several studies dealt with grid-to-vehicle (G2V) and vehicle-to-grid (V2G) concepts emphasizing the importance of the integration of renewable energy sources (RESs). However, none has simultaneously evolved V2G, G2V and RES integration by simulating a real-time decentralized algorithm. Unlike previous work, our approach contributes to the coordination of plug-in electric vehicle (PEV) charging (G2V) and discharging (V2G) according to power generation while at the same time integrating photovoltaic (PV) solar panels at workplaces by proposing a real-time decentralized vehicle/grid algorithm, where PEVs can consume power from and supply stored power to the grid. The integration of PV solar panels to locally charge PEVs plays a major role in limiting the stress on grid demand. From the power perspective, our real-time decentralized algorithm shows superior performance in terms of peak shaving and minimizing system losses. The communication results indicate an efficient delay reduction and lower throughput compared to a benchmark centralized algorithm.
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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 | 0.001 |
| 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".