Spectacular Simulation Review - Analysis of different wind turbine companies by Weibull Analysis

Sunil Kumar Jilledi*, Shalini J.**, Ashok Kumar Mechiri***
* Research Scholar, OPJS University, Churu, India, and Lecturer, Department of Electrical and computer Engineering, Mainefhi College of Engineering and Technology, Eritrea, East Africa
** Assistant Professor, Department of Dairy Engineering, Dairy Technology College, Sri Venkateswara Veterinary University, Andhra Pradesh, India.
***Associate Professor, Eritrea Institute of Technology, Asmara, Eritrea, East Africa.
Periodicity:August - October'2018
DOI : https://doi.org/10.26634/jps.6.3.15709

Abstract

Renewable energy sources are playing a vital role in the power sector. Among the renewable energy sources, wind energy is playing a vital role. As the power of wind energy system increases, the control of their system becomes complex. Active and reactive power becomes increasingly more important from a system to satisfy the load demand for the consumers. To improve the power production, in the market, many companies are in the competition. Weibull analysis is used for analysis of wind speed. Based on the wind probability distribution function (pdf), the power curve and power distribution is calculated. This paper provides the detail set of power production of different types of wind power plants. A case study has been performed using simulation software by considering the base data of the companies.

Keywords

Wind Energy, Weillbull, Enercon, Dewind, Vestas.

How to Cite this Article?

Jilledi, S. K., Shalini, J., and Mechiri, A. K., (2018). Simulation Review - Analysis of Different Wind Turbine Companies by Wei bull Analysis for Powers Tacular. i-manager’s Journal on Power Systems Engineering, 6(3), 32-42. https://doi.org/10.26634/jps.6.3.15709

References

[1]. Wind Energy Industry Manufacturing Supplier Hand book (2011). Retrieved from www.wire-net.org/pdf/ WindEnergyMFGSupplierHandbook.pdf.
[2]. Annual Report. (2014-2015). Revised list of models and manufacturers of wind turbines by Centre for Wind Energy Technology (CWET). National Institute of Wind Energy. Retrieved form https://niwe.res.in/assets /Docu/annual_report/Annual_Report_2014_2015_ English.pdf
[3]. Azad, A., Rasul, M., & Yusaf, T. (2014). Statistical diagnosis of the best weibull methods for wind power assessment for agricultural applications. Energies, 7(5), 3056-3085.
[4]. Bhadra, S. N., Kastha, D., & Banerjee, S. (2005). Wind Electrical Systems. Oxford University Press.
[5]. Chadee, J. C., & Sharma, C. (2001). Wind speed distributions: a new catalogue of defined models. Wind Engineering, 25(6), 319-337.
[6]. Conradsen, K., Nielsen, L. B., & Prahm, L. P. (1984). Review of Weibull statistics for estimation of wind speed distributions. Journal of climate and Applied Meteorology, 23(8), 1173-1183.
[7]. Dena, D. (2010). Grid Study II. Integration of Renewable Energy Sources in the German Power Supply System from 2015–2020 with an Outlook to 2025. Summary of the main results by the project steering group.
[8]. Dewind. (1995). Retrieved from https://www.thewindpower.net/ manufacturer_en_1_dewi nd.php
[9]. Fuhrlaender. (1991). Retrieved from https://www.thewindpower.net/ manufacturer_en_44_fuhr lander.php
[10]. Gamesa 2.0-2.5MW Technical Evolution. (n.d). Retrieved from https://www.siemensgamesa. com/enint/-/ media/siemensgamesa/downloads/en/investorsand- shareholders/corporate-governance/ generalshareholders- meetings/2018/documentation/is-2017- eng.pdf
[11]. Gamesa Sustainability Report. (2013). Retrieved from https://www.siemensgamesa.com/en-int/- /media/siemensgamesa/downloads/en/investors-ands hare holders/corporate-governance/general-shareholders-meetings/2018/documentation/is-2017- eng.pdf
[12]. Ge. (n.d). Wind Turbines Available in India. https://www.ge.com/in/wind-energy/wind-turbines-inindia
[13]. Gertmar, L., Liljestrand, L., & Lendenmann, H. (2007). Wind energy powers-that-be successor generation in globalization. IEEE Transactions on Energy Conversion, 22(1), 13-28.
[14]. Jilledi, S. K., & Shalini, J. (2017). A novelty comparison of power with assorted parameters of a horizontal wind axis turbine for NACA 5512. In R. Rajesh, B. Mathivanan (1st Eds.). Communication and Power Engineering (pp. 357-364). https://doi.org/10.1515/ 9783110469608
[15]. Jilledi, S. K., Shalini, J., Teshome, B.,Tuka, M. B., & Wakijira, E. (2013). Improvement of active and reactive power at the wind based renewable energy sources: A case study on ADAMA wind power plant. International Journal of Scientific & Engineering Research, 4(9), 2696- 2702.
[16]. Kaoga, D. K., Sergeb, D. Y., Raidandic, D., & Djongyangd, N. (2014). Performance assessment of twoparameter Weibull distribution methods for wind energy applications in the district of Maroua in Cameroon. International Journal of Sciences, Basic and Applied Research (IJSBAR), 17(1), 39-59.
[17]. Koumanoudis, N. (1988). Wind energy study of the Greek Islands. Wind Engineering, 12(4), 250-256.
[18]. Leitwind. (n.d). Retrieved from http://en.leitwind.com/ Press2/Download-area
[19]. Manwell, J. F., McGowan, J. G., & Rogers, A. L. (2010). Wind energy explained: Theory, design and application (2nd Ed.). USA: John Wiley & Sons.
[20]. Mathew, S. (2006). Wind Energy. Fundamentals, Resource Analysis and Economics (1st Ed.). New York: Springer.
[21]. Mihelić-Bogdanić, A., & Budin, R. (1992). Specific wind energy as a function of mean speed. Renewable Energy, 2(6), 573-576.
[22]. Mohammadi, K., & Mostafaeipour, A. (2013). Using different methods for comprehensive study of wind turbine utilization in Zarrineh, Iran. Energy Conversion and Management, 65, 463-470.
[23]. Nasir, S. M., Raza, S. M., & Jafri, Y. Z. (1991). Wind energy estimation at Quetta. Renewable Energy, 1(2), 263-267.
[24]. Nordex. (n.d). Wind Turbines. Retrieved from http://www.nordex-online.com/en/products-services/ wind-turbines.html
[25]. Rao, S. N., Kumar, J. S., & Reddy, G. M. (2012, April). STATCOM for improvement of active and reactive power at the wind based renewable energy sources. In International Conference on Advances in Information Technology and Mobile Communication (pp. 470-476). Berlin, Heidelberg: Springer.
[26]. Redlinger, R. Y., Andersen, P. D., & Morthorst, P. E. (1999). Wind Energy in the 21st Century. London: Macmillan Press.
[27]. Rehman, S., & Al-Abbadi, N. M. (2007). Wind shear coefficients and energy yield for Dhahran, Saudi Arabia. Renewable Energy, 32(5), 738-749.
[28]. Repower. (n.d). Retrieved from http://www.repower. com/group/
[29]. Sarkar, A., Singh, S., & Mitra, D. (2011). Wind climate modeling using Weibull and extreme value distribution. International Journal of Engineering, Science and Technology, 3(5), 100-106.
[30]. Siemens Gamesa. (n.d). Retrieved from http://www.gamesacorp.com/en/sustainability/publicati ons-and-awards/
[31]. Tar, K. (2008). Some statistical characteristics of monthly average wind speed at various heights. Renewable and Sustainable Energy Reviews, 12(6), 1712- 1724.
[32]. Vensys. (1990). Our history: Technological success through innovations. Retrieved from https://www.vensys. de/unternehmen/historie/
[33]. Zhe, W., Yiru, W., Chuan, H., Jianhui, Y., & Hao, Z. (2009, April). Development status of China's renewable energy power generation. In 2009 International Conference on Sustainable Power Generation and Supply (pp. 1-5). IEEE.
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