MétaCan
Menu
Back to cohort

Implementation of a Blackstart cranking path sequence operation through PMU

2025· article· W7131400672 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicEmbedded Systems and FPGA Applications
Canadian institutionsCanadian Association of Cardiovascular Prevention and Rehabilitation
Fundersnot available
KeywordsBlackoutInrush currentAC powerElectricity generationTransformerElectric power systemPath (computing)Generator (circuit theory)Power (physics)

Abstract

fetched live from OpenAlex

The complexity of the interactions due to the integration of inverter-based resources and changes in generation mix is forcing utilities to focus on identifying blackstart cranking path sequences to restore the power system in the shortest period of time. This requires the use of an on-site generation unit or blackstart resources to start up and produce power without the need for an external (off-site) power source when recovering from a blackout event that involves the loss of many generation units.This paper presents a blackstart approach by Southern California Edison (SCE) using a subregional island methodology that is comprised of a self-starting unit used to start a larger generating unit(s) through energization of few generator step-up transformers, transmission line(s), and starting of motors and other auxiliary loads needed to restart non-blackstart generating units. Energization of the unloaded transmission line(s) during a blackstart is a critical step, as the charging current causes a voltage rise along the transmission line. The charging current could be significantly high that the blackstart generation unit will absorb reactive power. Regular studies are performed to verify that the proposed blackstart restoration plans are compliant with voltage and frequency operation limits, as well as to ensure that the blackstart generating unit is capable of absorbing reactive power within its limits under the lightly-loaded blackstart condition. Also, it is important to ensure that the magnitude, duration, and harmonic content of the transformer inrush current will not cause resonance issues. Also, a key concern is ensuring that abnormal system conditions and faults are detected during transmission line energization, and other steps of power system restoration. This is especially true for transmission lines that transverse through wildfire prone areas. Energization of a downed conductor could ignite a wildfire and is a concern for public safety. During the broken conductor condition and lightly-loaded line conditions, the expected performance of the protection system may be compromised, as the current magnitude may be below the relay set threshold or a pickup current.In order to facilitate the restoration process, a synchrophasor-based wide area scheme is used to guide the operator during the blackstart cranking path sequence, using the line protection relays to send the real-time current and voltage measurements to a central controller for monitoring the line health, as well as any failing conductor conditions. Additional relays in critical locations are also used to obtain node voltage and current measurement points required to avoid any switching error. The architecture of the restoration system used is presented in this paper, including the topology, sequence logic and steps followed, as well as the HMI for the blackstart restoration process.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.335
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicEmbedded Systems and FPGA ApplicationsFrench-language works237,207