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Record W2908771296 · doi:10.1109/epec.2018.8598416

Energy Management System of a Microgrid using Particle Swarm Optimization and Wireless Communication System

2018· article· en· W2908771296 on OpenAlex
Mohammad. Y. Ali, Faizan Khan, Vijay K. Sood

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
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsMicrogridParticle swarm optimizationEnergy management systemGridController (irrigation)Computer scienceEnergy managementControl engineeringWirelessDistributed generationEnergy (signal processing)EngineeringControl (management)Renewable energyElectrical engineeringTelecommunicationsAlgorithm

Abstract

fetched live from OpenAlex

An Energy Management System (EMS) is required to control the flow of power and match generation with the load within a microgrid during grid-connected and islanded modes of operation. An optimisation algorithm is needed to minimise the cost of the energy drawn from the grid, generated within the grid and consumed by the loads. In this paper, an optimisation algorithm based on Particle Swarm Optimisation (PSO) algorithm is used. Case studies with grid-connected and islanded modes of operation demonstrate the effectiveness of the optimisation algorithm. Also, since the EMS Control Centre is normally at a remote location from the microgrid, a communication system is needed to exchange information between the Master Controller of the EMS Control Centre and the Local Controllers of the various generators. A low-cost communication system has been developed to demonstrate the feasibility of the communication channel required between the Master Controller and the Local Controllers.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

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

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 head0.177
Teacher spread0.172 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

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