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Estimation Model of Electricity Generation with the Wind in the Colombian Caribbean Region Using Probability Distribution Functions


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DOI: https://doi.org/10.15866/ireaco.v13i3.18639

Abstract


The reduction in the availability of fossil fuels and global warming has led to alternatives in recent years for the generation of electric power. One of the biggest booms is the electric generation with wind turbines. This article presents an analysis of the characteristics of wind in two areas of Colombia in order to determine a statistical model and to verify the viability of implementing a system for obtaining energy through wind power. The two areas are located in the departments of Cesar (Alfonso Lopez) and Magdalena (Simon Bolivar), in the Colombian Caribbean area, which has the greatest potential for this type of project. It has been found out that the Alfonso López station has a maximum operating period of 739 consecutive hours, with a probability of 10.9716% and it will operate continuously for a time greater than or equal to 9.3748 hours. The high asymmetry coefficient ensures a greater number of durations, higher than 9.3748 hours, while the Simón Bolívar station has a total number of useful series of 158918 with 28969 stops in the 2009-2013 period, with a probability of 4.7348% that it operates for a time greater than or equal to 5.4858 hours. It has been found out that the dispersion values are the lowest in the latter case, indicating that there is little variety in the duration of operation, from which it can be obtained that the Alfonso López station has a greater wind potential than the Simón Bolívar one, so the construction of this wind farm is recommended in Magdalena zone. With the proposed model, an estimation of the potential can be made and control logics based on SPC can be proposed.
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Keywords


Power Generation; Probability; Renewable Energy; Statistical Process Control; Wind

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References


Srivastava, A., Bajpai, R., An Efficient Maximum Power Extraction Algorithm for Wind Energy Conversion System Using Model Predictive Control, (2019) International Journal on Energy Conversion (IRECON), 7 (3), pp. 93-107.
https://doi.org/10.15866/irecon.v7i3.17403

C.K. Gao, H. Na, K.H. Song, N. Dyer, F. Tian, Q.J. Xu, and Y.H. Xing, Environmental impact analysis of power generation from biomass and wind farms in different locations, Renewable and Sustainable Energy Reviews, vol. 102, pp. 307–317, 2019.
https://doi.org/10.1016/j.rser.2018.12.018

M. G. Pereira, C. F. Camacho, M. A. V. Freitas, and N. F. da Silva, The renewable energy market in Brazil: Current status and potential, Renewable and Sustainable Energy Reviews, vol. 16, no. 6, pp. 3786–3802, 2012.
https://doi.org/10.1016/j.rser.2012.03.024

G. Valencia, A. Benavides, and Y. Cárdenas, Economic and Environmental Multiobjective Optimization of a Wind–Solar–Fuel Cell Hybrid Energy System in the Colombian Caribbean Region, Energies, vol. 12, no. 11, p. 2119, 2019.
https://doi.org/10.3390/en12112119

Taleb, M., Cherkaoui, M., Optimal Control of Active and Reactive Powers in Wind Energy Conversion Systems Using Particle Swarm Optimization and Adaptive Sliding Mode Control, (2018) International Review of Automatic Control (IREACO), 11 (5), pp. 248-254.
https://doi.org/10.15866/ireaco.v11i5.15098

Radouane, O., Rachidi, M., Adaptive Input-Output Feedback Linearization Control of Doubly-Fed Induction Machine in Wind Power Generation, (2019) International Review of Automatic Control (IREACO), 12 (1), pp. 11-20.
https://doi.org/10.15866/ireaco.v12i1.15619

Varanasi, J., Tripathi, M., Performance Comparison of Generalized Regression Network, Radial Basis Function Network and Support Vector Regression for Wind Power Forecasting, (2019) International Review on Modelling and Simulations (IREMOS), 12 (1), pp. 16-23.
https://doi.org/10.15866/iremos.v12i1.15781

S. Dawn, and P.K. Tiwari, Improvement of economic profit by optimal allocation of TCSC & UPFC with wind power generators in double auction competitive power market, International Journal of Electrical Power & Energy Systems, vol. 80, pp. 190-201, 2016.
https://doi.org/10.1016/j.ijepes.2016.01.041

P. Piotrowski, D. Baczyński, M. Kopyt, K. Szafranek, P. Helt, and T. Gulczyński, Analysis of forecasted meteorological data (NWP) for efficient spatial forecasting of wind power generation, Electric Power Systems Research, vol. 175, p. 105891, 2019.
https://doi.org/10.1016/j.epsr.2019.105891

M. Eichhorn, P. Tafarte, and P. Thrän, Towards energy landscapes–Pathfinder for sustainable wind power locations, Energy, vol. 134, pp. 611-621, 2017.
https://doi.org/10.1016/j.energy.2017.05.053

G. Valencia Ochoa, J. Núñez Alvarez, and M. Vanegas Chamorro, Data set on wind speed, wind direction, and wind probability distributions in Puerto Bolivar - Colombia, Data in Brief, vol. 27, p. 104753, 2019.
https://doi.org/10.1016/j.dib.2019.104753

Benyachou, B., Bahrar, B., Gueraoui, K., Modeling & Control of a Variable Velocity Wind Turbine Connected to a Doubly Fed Induction Generator (DFIG), (2018) International Review of Mechanical Engineering (IREME), 12 (6), pp. 563-569.
https://doi.org/10.15866/ireme.v12i6.15410

Y. Cancino-Solórzano and J. Xiberta-Bernat, Statistical analysis of wind power in the region of Veracruz (Mexico), Renewable Energy, vol. 34, no. 6, pp. 1628-1634, 2009.
https://doi.org/10.1016/j.renene.2008.11.018

J. P. Viteri, F. Henao, J. Cherni, and I. Dyner, Optimizing the insertion of renewable energy in the off-grid regions of Colombia, Journal of Cleaner Production, vol. 235, pp. 535-548, 2019.
https://doi.org/10.1016/j.jclepro.2019.06.327

J. Arias-Gaviria, S. X. Carvajal-Quintero, and S. Arango-Aramburo, Understanding dynamics, and policy for renewable energy diffusion in Colombia, Renewable energy, vol. 139, pp. 1111–1119, 2019.
https://doi.org/10.1016/j.renene.2019.02.138

J. G. Rueda-Bayona, A. Guzmán, J. J. C. Eras, R. Silva-Casarín, E. Bastidas-Arteaga, and J. Horrillo-Caraballo, Renewables energies in Colombia and the opportunity for the offshore wind technology, Journal of Cleaner Production, vol. 220, pp. 529–543, 2019.
https://doi.org/10.1016/j.jclepro.2019.02.174

G. Carvajal-Romo, M. Valderrama-Mendoza, D. Rodríguez-Urrego, and L. Rodríguez-Urrego, Assessment of solar and wind energy potential in La Guajira, Colombia: Current status, and future prospects, Sustainable Energy Technologies and Assessments, vol. 36, p. 100531, 2019.
https://doi.org/10.1016/j.seta.2019.100531

O. Pupo-Roncallo, J. Campillo, D. Ingham, K. Hughes, and M. Pourkashanian, Large scale integration of renewable energy sources (RES) in the future Colombian energy system, Energy, vol. 186, p. 115805, 2019.
https://doi.org/10.1016/j.energy.2019.07.135

A. Sagastume Gutiérrez, M. Balbis Morejón, J. J. Cabello Eras, M. Cabello Ulloa, F. J. Rey Martínez, and J. G. Rueda-Bayona, Data supporting the forecast of electricity generation capacity from non-conventional renewable energy sources in Colombia, Data in Brief, vol. 28, p. 104949, 2020.
https://doi.org/10.1016/j.dib.2019.104949

I. Hoyos, A. Baquero-Bernal, and S. Hagemann, How accurately are climatological characteristics and surface water and energy balances represented for the Colombian Caribbean Catchment Basin?, Climate dynamics., vol. 41, no. 5–6, pp. 1269–1290, 2013.
https://doi.org/10.1007/s00382-013-1685-0

P. Pinson, H.A. Nielsen, H. Madsen, and G. Kariniotakis, Skill forecasting from ensemble predictions of wind power, Applied Energy, vol. 86, no. 7–8, pp. 1326–1334, 2009.
https://doi.org/10.1016/j.apenergy.2008.10.009

Gourma, A., Berdai, A., Reddak, M., Tytiuk, V., Reliability and Optimization Strategy in an Interconnected Network at a Wind Farm, (2018) International Review on Modelling and Simulations (IREMOS), 11 (2), pp. 76-83.
https://doi.org/10.15866/iremos.v11i2.13596

O.N. Nobela, R.C. Bansal, and J.J. Justo, A review of power quality compatibility of wind energy conversion systems with the South African utility grid, Renewable Energy Focus, vol. 31, pp. 63-72, 2019.
https://doi.org/10.1016/j.ref.2019.10.001


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