Voltage Stability Constrained Low-Carbon Generation & Transmission Expansion Planning
Bibliographic record
Abstract
Environmental concerns and limits on CO2 emissions entail expanding the capacity of renewable generation units. However, the increase in the renewable generation capacity can significantly impact the hosting power system voltage stability. Therefore, the consideration of voltage stability in the expansion planning problem is of an increasing importance. In this paper, we present a multi-stage low carbon voltage stability constrained generation and transmission expansion planning (G&TEP) model. The developed G&TEP model accounts for the investment and operation costs of generation units and transmission lines, as well as the load and wind curtailment costs, and determines the optimal installation year and location for transmission lines and generation units to meet the anticipated load demand increase. The voltage collapse proximity indicator (VCPI), which is a line voltage stability index based technique, is used to account for the voltage stability of the developed expansion plans. To this end, the VCPI is incorporated in the G&TEP model to guarantee an acceptable level of voltage stability for the developed expansion plans over the planning horizon. The effectiveness of the proposed framework is validated using numerical cases studies on the IEEE 24-bus RTS test system developed in General Algebraic Modeling System (GAMS) environment.
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 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) | 0.001 | 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".