The effect of dynamic security constraints on the locational marginal prices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In a restructured power system, locational marginal prices (LMP) are important pricing signals to the participants. LMP at a given node of a power system is the incremental cost of supplying power at that node. In a lossless system with no active constraints, the LMPs at all the nodes are equal. However, due to the losses in the power system, the LMPs at different nodes is different. Any operating constraint such as line flow limits also contribute to the LMP at a node. This paper investigates the effect of a dynamic security constraint on the LMPs. The transient stability margin expressed as a function of nodal voltages and phase angles, is used as a constraint in an optimal power flow (OPF) program to determine the LMPs at all the nodes of a power system. The Lagrange multiplier associated with the transient stability constraint gives the marginal cost of the transient stability constraint. A case study on the New England 39 bus system is presented to demonstrate the effect of the dynamic security constraint on the LMPs. In a nodal pricing scheme, any active constraint results in an additional revenue to the system operator. This revenue, known as the network rental, is also investigated in the paper.
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.
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 | 0.001 | 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) | 0.000 | 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 it