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Record W6995546888

Out-of-step Protection Using Energy Equilibrium Criterion in the Time Domain

2008· article· en· W6995546888 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2008
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsnot available
Fundersnot available
KeywordsSynchronismElectric power systemTime domainRelayPower (physics)Real Time Digital SimulatorControl theory (sociology)Protective relaySIGNAL (programming language)
DOInot available

Abstract

fetched live from OpenAlex

Disturbances in power systems are common and they result in electromechanical oscillations called power swing.The power swings could be severe and it may lead to loss of synchronism among the interconnected generators.This is referred to as out-of-step condition.The voltage and current swings during an out-of-step condition damage power system equipments and also cause unwanted operations of various protective devices.The protection systems require an effective algorithm for fast and accurate detection of out-of-step condition.This research is focused on the development of a simple and effective out-of-step relay capable of detecting out-of-step condition in a complex power system.To achieve this, the research has gone through four distinct stages: development of an algorithm, simulation, hardware implementation and its testing.An out-of-step algorithm is proposed based on equal area criterion in time domain.The equal area criterion in time domain is obtained by modifying the traditional equal area criterion in power angle domain.A single machine infinite bus system, a two machine infinite bus system and a three machine infinite bus system and a 17-bus multiple machines system are used as case studies and are modeled using simulation tool (PSCAD) 1 .To test the effectiveness of the proposed algorithm, various out-of-step conditions are simulated by applying disturbances at various locations in the above chosen power system configurations.For hardware implementation and testing of the algorithm, a digital signal processing board (ADSP-BF533 from Analog Devices) 2 is used.To test the performance of the developed digital relay in a closed loop, real time power system signals are necessary and 1 PSCAD is the registered trade mark of Manitoba HVDC Centre, Winnipeg, Canada. 2 RTDS is the registered trade mark of RTDS Technologies Inc., Winnipeg, Canada iii therefore for this purpose, a Real Time Digital Simulator (RTDS) 3 available in the power research laboratory is used.The RTDS simulator mimics the actual power systems in real time.The signals required by the relays can be tapped from the RTDS and the signals coming from relay can be fed back into the RTDS, which makes the closed loop testing of the digital relay possible.This research has yielded a simple out-of-step algorithm and unlike the other out-ofstep detection techniques proposed in the literature does not need offline system studies to arrive at a solution.The developed digital out-of-step relay is capable of making decisions based only on the information available from its point of installation, thus it avoids the communication devices which is advantageous for the out-of-step protection of a complex power system.Finally, the simulation results show that the proposed algorithm can be applied to any power configurations and is faster compared to the conventional concentric rectangle schemes used in the literature.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.162
Teacher spread0.151 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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