Regulation strategy of an integrated energy system considering the dynamic change of electricity price in the spot market in the day-ahead and in the middle of the day
Bibliographic record
Abstract
Most of the renewable energy sources have unstable supply and high volatility. With the growing share of renewable energy in the integrated energy system, it is more and more difficult to execute the energy pre-dispatch regulation decision of the integrated energy system. To address the problem of increased volatility of the system, the study proposes to optimize the pre-dispatch decision-making of the system’s control center by analyzing the difference between the day-ahead market clearing price and the declared price of electricity supply. The results show that the node declared power is much higher than the ground's actual clearing power during the period from 1:00 am to 4:00 am. During this period the declared power of the nodes is at 2500kW and the actual clearing power of the nodes is around 1500kW. The outgoing power of the integrated energy system electrical load can be reduced in advance during the period from 10 am to 3 pm. The proposed pre-dispatch decision of the integrated energy system on the basis of the difference between the day-ahead clearing price and the node declared price can ensure the stability of the system operation while reducing the operating cost of the integrated energy system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".