Analysis of the Electric Power Monitoring System in Wind Power Plants Based on Arduino Uno
DOI:
https://doi.org/10.30743/rpe4nh21Keywords:
Wind Energy; Monitoring; Electric Power; Arduino UnoAbstract
The Wind Power Plant is a renewable energy solution that can reduce dependence on fossil fuels and reduce greenhouse gas emissions. However, to ensure operational efficiency and reliability, an effective monitoring system is needed to monitor and manage the electrical power produced. This resear chaims to develop and analyzean electrical power monitoring system at PLT Busing the Arduino Uno platform. The proposed monitoring system consist sofsophisti cated sensors integrated with Arduino Unotocollect real-time data regarding wind speed, output voltage, current and turbine operational conditions. The data collectedby these sensor sissentto the Arduino Uno, which then processes andstores thedata for further analysis. Additionally,this data canbe transmitted toot her devices for remote monitoring via a wire less communication module. Algorithms were developed to analyze and display critical information about turbine performance, including anomaly detection and failure prediction. System testing was carried out on a small-scale PLTB model, and the results showed that this system was able to monitor changes in electrical power with high accuracy and fast response time. Implementation of this Arduino Uno-based monitoring system also enable searly detection of potential problems, so that preventive action can be taken to reduce downtime and increase operational efficiency. The results of this research showthat using Arduino Uno as a platform for the electrical power monitoring system at PLTBis not only effective in collecting andanalyzing data,butis also economical andeasy to implement.This system canbeeasily adaptedand expanded to suit the specific needs of various types of PLTB. In conclusion, the Arduino Uno-based monitoring system offers an innovative and practical solution to improve the performance and reliability of PLTB.
References
B. K. Jo and G. Jang, “An evaluation of the effect on the expansion of photovoltaic power generation according to renewable energy certificates on energy storage systems: A case study of the Korean renewable energy market,” Sustain., vol. 11, no. 16, 2019, doi: 10.3390/su11164337.
M. Yousif, Q. Ai,W. A. Wattoo, Z. Jiang, R. Hao,andY. Gao, “Leastcostcombinationsof solarpower, windpower, andenergystoragesystemfor poweringlarge-scalegrid,”J.PowerSources, vol. 412,no.October2018, pp.710–716, 2019, doi: 10.1016/j.jpowsour.2018.11.084.
M. A. Günen, “A comprehensive framework based on GIS-AHP for the installation of solar PV farms in Kahramanmaraş, Turkey,” Renew. Energy, vol. 178, pp. 212–225, 2021, doi: 10.1016/j.renene.2021.06.078.
InternationalEnergyAgency,“WorldEnergyOutlook2023|EnhancedReader,”2023,[Online].Available: https://www.iea.org/news/the-energy-world-is-set-to-change-significantly-by-2030-based-on-today-s-policy-settings-alone.
H.Z.AlGarniandA.Awasthi,SolarPVPowerPlantsSite Selection:AReview,vol.1.ElsevierInc.,2018.
L. Chiari and A. Zecca, “Constraints of fossil fuels depletion on global warming projections,” Energy Policy, vol. 39, no. 9, pp. 5026–5034, 2011, doi: 10.1016/j.enpol.2011.06.011.
Q.Hassan,S.Algburi,A.Z.Sameen,H.M.Salman,andM.Jaszczur, “Areviewofhybridrenewableenergysystems: Solar and wind-powered solutions: Challenges, opportunities, and policy implications,” Results Eng., vol. 20, no. September, p. 101621, 2023, doi: 10.1016/j.rineng.2023.101621.
Q. Dong, T. Liao, Z. Yang, X. Chen, and J. Chen, “Performance characteristics and parametric choices of a solar thermophotovoltaic cell at the maximum efficiency,” Energy Convers. Manag., vol. 136, pp. 44–49, 2017, doi: 10.1016/j.enconman.2016.12.095.
A. H. Alanazi, F. A. Almutlaq, A. Sharma, S. Sites, A. H. Alanazi, andF. A. Almutlaq, “Assessment of WindEnergy Potential at Three Prime Locations in Saudi Arabia: Analysis of Sharma , Qurayyat and Sakaka Sites Assessment of Wind Energy Potential at Three Prime Locations in Saudi Arabia :”
M. B. Hemanth Kumar, S. Balasubramaniyan, S. Padmanaban, and J. B. Holm-Nielsen, “Wind energy potential assessmentbyweibullparameterestimationusingmultiverseoptimizationmethod:AcasestudyofTirumalaregionin India,” Energies, vol. 12, no. 11, 2019, doi: 10.3390/en12112158.
J.Kim,H.G.Kim,andH.D.Park,“Surfacewindregionalizationbasedonsimilarityoftime-serieswindvectors,”
AsianJ.Atmos.Environ.,vol.10,no.2,pp.80–89,2016,doi: 10.5572/ajae.2016.10.2.080.
T. Hardianto, B. Supeno, D. K. Setiawan, and Gunawan, “Design of real time anemometer based on wind speed- direction and temperature,” Int. J. Power Electron. Drive Syst., vol. 8, no. 2, pp. 677–685, 2017, doi: 10.11591/ijpeds.v8i2.pp677-685.
C.Hachem-Vermette,“Roleofsolarenergyinachievingnetzeroenergyneighborhoods,”Sol.EnergyAdv.,vol.2,no. April, p. 100018, 2022, doi: 10.1016/j.seja.2022.100018.
A.Zitrou,T.Bedford,andL.Walls, “ModelingEpistemicUncertaintyinOffshoreWindFarmProductionCapacityto Reduce Risk,” Risk Anal., vol. 42, no. 7, pp. 1524–1540, 2022, doi: 10.1111/risa.13846.
Elinur, “Perkembangan Konsumsi dan Penyediaan Energi dalam Perekonomian Indonesia,” Indones. J. Agric. Econ., vol. 1, no. 1, pp. 19–38, 2010.
A.Y.IstiMegawatietal.,“AnoverviewofwindenergytooptimizeinitialpotentialinJava,”E3SWebConf.,vol.475, 2024, doi: 10.1051/e3sconf/202447503001.
S.Anisah,Z.Tharo,andA.KenedyButarButar,“OptimizationAnalysisofSolarandWindPowerHybridPowerPlant Systems,” pp. 614–624, 2024.
A. Coutoand A. Estanqueiro, “Windpower plants hybridisedwith solarpower:Agenerationforecast perspective,” J. Clean. Prod., vol. 423, no. August, 2023, doi: 10.1016/j.jclepro.2023.138793.
F. Costa, P. Poulichet, F. Mazaleyrat, and E. Laboure, “Current sensors in power electronics, a review,” EPE J. (European Power Electron. Drives Journal), vol. 11, no. 1, pp. 7–18, 2001, doi: 10.1080/09398368.2001.11463473.
M. A. Paun, J. M. Sallese, and M. Kayal, “Hall effect sensors design, integration and behavior analysis,” . Sens. Actuator Networks, vol. 2, no. 1, pp. 85–97, 2013, doi: 10.3390/jsan2010085.
J. Varela-Aldás, S. Silva, and G. Palacios-Navarro, “IoT-Based Alternating Current Electrical Parameters Monitoring System,” Energies, vol. 15, no. 18, 2022, doi: 10.3390/en15186637
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.