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Record W3180025144 · doi:10.17762/de.vi.2468

Simulation of a Stand-alone Hybrid PV-Diesel Systems for Critical Island Loads

2021· article· en· W3180025144 on OpenAlexvenueno aff
Omar M. Abdel-halim Abdelnasser A. Nafeh

Bibliographic record

VenueDesign Engineering · 2021
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsDiesel generatorPhotovoltaic systemMaximum power point trackingAutomotive engineeringRenewable energyMicrogridPermanent magnet synchronous generatorDiesel fuelElectrical engineeringVoltageEngineeringInverter

Abstract

fetched live from OpenAlex

Micro-grid is an effective solution to increase the power distribution reliability by using renewable energy sources or hybrid with a diesel generator. In this research, a hybrid energy system using a solar power system designed for extraction of 100 kW at peak power, at standard condition 1000 W/m2 and 25 ˚C with a diesel generator designed 500 KVA at peak power is simulated for a standalone microgrid utilities. For extraction maximum power, the duty ratio of a converter is adjusting based on the specific value of maximum power point (MPP) voltage of the PV array. Thus, the DC voltage of the inverter side is kept constant to meet the grid specifications, e.g. 400 V and 50 Hz. The PV array is modelling by nonlinear equations which describe the effect of real irradiance levels for the Western Desert in Egypt on DC voltage. The solar power system is designed in an actual location with a diesel generator, supplying a three-phase load of about 300 KW contain 60 KW of critical police loads and 240 KW of normal police loads. Due to the fluctuations in solar irradiance, load sharing between the PV system and the diesel generator is controlled. The load sharing is verified numerically by the Newton-Raphson method for a three-bus ring distribution system. Numerical and simulation results show the capability of the designed PV system to share the load with the diesel generator over the year.The proposed system helps to achieve security and stability, especially in border and remote places due to the high cost of connecting these places with the public network, as well as the difficulty of maintaining diesel generators and delivering fuel. Due to the sunny climate of the Western Desert in Egypt, so the hybrid energy system with any renewable sources helping in increase generation capacity for any future extension loads power requirements without increase the storage units of diesel generator, reduce maintenance of diesel generator, increase the lifetime of diesel generator, helping to keep the environment clean, maintains reliable electricity to the consumer and can be portable from place to another without any additional cost. The proposed system helps to achieve security and stability, especially in border and remote places due to the high cost of connecting these places with the public network, as well as the difficulty of maintaining diesel generators and delivering fuel. Due to the sunny climate of the Western Desert in Egypt, so the hybrid energy system with any renewable sources helping in increase generation capacity for any future extension loads power requirements without increase the storage units of diesel generator, reduce maintenance of diesel generator, increase the lifetime of diesel generator, helping to keep the environment clean, maintains reliable electricity to the consumer and can be portable from place to another without any additional cost.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.250
Teacher spread0.225 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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