Fuzzy Based Energy Management System for a Micro-grid with a V2G Parking Lot
Bibliographic record
Abstract
A fuzzy based intelligent energy management system (EMS) to utilize electric vehicle (EV) batteries for energy storage services in a micro-grid is proposed in this paper. A dc fast charging station is used to interconnect EVs to the micro-grid. The fuzzy logic controller determines the energy available with each EV to participate in vehicle-to-grid (V2G) and grid-to-vehicle (G2V) services, based on the battery state of charge, rated capacity and time remaining for departure of each EV. The EMS algorithm then allocates the balance power in the micro-grid to the available EV batteries without impairing the owner's driving needs. Different case studies have been simulated in MATLAB/SIMULINK environment by varying the load, generation and number of EVs available at the parking lot. The obtained results verify the effectiveness of the proposed approach in maintaining an optimal power balance in the system under different operating conditions.
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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".