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Record W2098897490 · doi:10.14355/ijes.2013.0305.05

Dynamic Modeling and Analysis of a Remote Hybrid Power System with Pumped Hydro Storage

2013· article· en· W2098897490 on OpenAlexafffundabout
Md. Asif, Tariq Iqbal

Bibliographic record

VenueInternational Journal of Energy Science · 2013
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsController (irrigation)Hybrid systemElectric power systemMATLABComputer data storageTurbineEngineeringAutomotive engineeringGenerator (circuit theory)Power (physics)Control engineeringComputer scienceControl theory (sociology)Control (management)Mechanical engineeringComputer hardware

Abstract

fetched live from OpenAlex

In this research, dynamic modeling of a remote hybrid power system and feasibility of a pumped hydro storage system is presented. Current hybrid system in Ramea, Newfoundland has an electrolyzer, storage and hydrogen generator system. This research proposes a pumped hydro storage as a replacement to the hydrogen system. Detailed MATLAB-Simulink modeling has been done for every component of the Ramea hybrid power system. Incorporation of a pumped hydro system and some lead acid batteries will eliminate the low turn around efficiency of the electrolyzer and hydrogen generator system. The system dynamic model presented here is fast, accurate and includes dynamic and supervisory controllers. The proposed real time supervisory controller algorithm observes the available surplus/missing power in the system and regulates pump/turbine and charging/discharging of the battery bank to maintain a stable system frequency. This paper presents dynamic model, supervisory controller design and algorithm, six case studies and detailed simulation results.

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 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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.228
Teacher spread0.221 · 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 teacher head, 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

Citations12
Published2013
Admission routes3
Has abstractyes

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