Power control of a bi-directional AC/DC rectifier used for telecom backup systems
Bibliographic record
Abstract
This paper presents a novel control scheme to control the flow of active and reactive power through a single-phase bi-directional AC/DC converters used for telecom backup systems. The proposed controller enables the telecom facilities to control the power flow in both directions from grid to telecom and telecom to grid. In this paper the fuel cell system coupled with ultra-capacitors has been used as telecom backup system. By using 10% of the backup storage capacity, not only telecom companies can ensure their high standard reliability, but they can also benefit from their assets, as well as participating in ancillary services market. The main purpose of this paper is to achieve this feature by using the proposed converter configuration and its control scheme. So the proposed control scheme is implemented in D-Q rotating frame. Due to the lack of freedom degrees in single phase converters using the D-Q frame is challenging. In this paper, to cope with this problem the all-pas-filter has been used to generate the orthogonal system required for D-Q frame. Also A hybrid estimator has been used in this paper to estimate the real-time amount of active/reactive power. This estimator can estimate real-time power values very fast and reliable, which can improve the dynamic abilities of the proposed controller. The performance of the proposed controller is evaluated by using simulation and experimental results. Also the application of the proposed controller in implementation of energy management strategies in a typical telecommunication backup system has been proved by simulation results.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".