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1

Carroll, Paula, Lucy Cradden, and Mícheál Ó hÉigeartaigh. "High Resolution Wind Power and Wind Drought Models." International Journal of Thermal and Environmental Engineering 16, no. 1 (August 9, 2018): 27–36. http://dx.doi.org/10.5383/ijtee.16.01.004.

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2

Nah, Do-Baek, Hyo-Soon Shin, and Duck-Joo Nah. "Offshore Wind Power, Review." Journal of Energy Engineering 20, no. 2 (June 30, 2011): 143–53. http://dx.doi.org/10.5855/energy.2011.20.2.143.

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3

Obukhov, S. G. "DYNAMIC WIND SPEED MODEL FOR SOLVING WIND POWER PROBLEMS." Eurasian Physical Technical Journal 17, no. 1 (June 2020): 77–84. http://dx.doi.org/10.31489/2020no1/77-84.

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4

Prajapati, Urvashi, Deepika Chauhan, and Md Asif Iqbal. "Hybrid Solar Wind Power Generation." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1533–37. http://dx.doi.org/10.31142/ijtsrd11359.

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5

Trejos–Grisales, Luz, Cristian Guarnizo–Lemus, and Sergio Serna. "Overall Description of Wind Power." Ingeniería y Ciencia 10, no. 19 (January 2014): 99–126. http://dx.doi.org/10.17230/ingciencia.10.19.5.

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This paper presents a general overview of the main characteristics of the wind power systems, also considerations about the simulation models andthe most used Maximum Power Point Tracker (MPPT) techniques are made. Some simulation results are shown and conclusions about the workare given.
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6

Green, K. H. "Wind power." IEE Review 39, no. 1 (1993): 29. http://dx.doi.org/10.1049/ir:19930011.

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7

ARAKAWA, Chuichi. "Wind Power." Journal of the Society of Mechanical Engineers 109, no. 1052 (2006): 549–52. http://dx.doi.org/10.1299/jsmemag.109.1052_549.

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8

Gipe, Paul. "“Wind Power”." Wind Engineering 28, no. 5 (September 2004): 629–31. http://dx.doi.org/10.1260/0309524043028145.

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9

Carlman, Inga. "Wind power in Denmark! Wind power in Sweden?" Journal of Wind Engineering and Industrial Aerodynamics 27, no. 1-3 (January 1988): 337–45. http://dx.doi.org/10.1016/0167-6105(88)90048-7.

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10

Kennedy, J., B. Fox, and J. Morrow. "Working with wind - wind power." Engineering & Technology 3, no. 3 (February 23, 2008): 52–55. http://dx.doi.org/10.1049/et:20080313.

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11

Liu, Tianshu, RS Vewen Ramasamy, Ryne Radermacher, William Liou, and David Moussa Salazar. "Oscillating-wing unit for power generation." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 233, no. 4 (September 19, 2018): 510–29. http://dx.doi.org/10.1177/0957650918790116.

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This paper describes an exploratory study of a nonconventional wind power converter with a pair of oscillating wings, which is called an oscillating-wing unit. The working principles of the oscillating-wing unit are described, including the aerodynamic models, kinematical, and dynamical models. The performance of the oscillating-wing unit is evaluated through computational simulations and the power scaling in comparison with conventional horizontal-axis wind turbines. Then, a model oscillating-wing unit is designed, built, and tested in a wind tunnel to examine the feasibility of the oscillating-wing unit in extraction of the wind energy in comparison with the theoretical analysis. The theoretical analysis and experimental data indicate that the oscillating-wing unit has the power efficiency comparable to the conventional horizontal axis wind turbine and it can operate at low wind speeds.
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12

Mohammadha Hussaini, M., and R. Anita. "Power Quality Analysis in Wind Power Generation Using Sliding Mode Control." International Journal of Engineering and Technology 2, no. 5 (2010): 481–85. http://dx.doi.org/10.7763/ijet.2010.v2.168.

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13

Lewis, D. "Putting the wind up [wind power]." Engineering & Technology 4, no. 3 (February 14, 2009): 52–55. http://dx.doi.org/10.1049/et.2009.0312.

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14

DeMeo, E. A., W. Grant, M. R. Milligan, and M. J. Schuerger. "Wind plant integration [wind power plants." IEEE Power and Energy Magazine 3, no. 6 (November 2005): 38–46. http://dx.doi.org/10.1109/mpae.2005.1524619.

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15

Karimov, S. K. O. "Germany. Wind power." Trends in the development of science and education 59, no. 2 (March 31, 2020): 40–43. http://dx.doi.org/10.18411/lj-03-2020-28.

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16

Jagadeesh, A. "Indian wind power." Refocus 2, no. 4 (May 2001): 16–18. http://dx.doi.org/10.1016/s1471-0846(01)80043-3.

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17

Weisbrich, Alfred L. "Alternative wind power." Refocus 3, no. 2 (March 2002): 26–29. http://dx.doi.org/10.1016/s1471-0846(02)80024-5.

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18

Kennedy, Barry W. "Integrating wind power." Refocus 5, no. 1 (January 2004): 36–37. http://dx.doi.org/10.1016/s1471-0846(04)00075-7.

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19

Hammell, Darren. "Wind power electronics." Refocus 5, no. 3 (May 2004): 36–38. http://dx.doi.org/10.1016/s1471-0846(04)00142-8.

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20

Coleman, Matt, and Steve Provol. "Wind power economics." Refocus 6, no. 4 (July 2005): 22–24. http://dx.doi.org/10.1016/s1471-0846(05)70426-1.

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21

Syngellakis, Katerina, Steve Carroll, and Peter Robinson. "Small wind power." Refocus 7, no. 2 (March 2006): 40–45. http://dx.doi.org/10.1016/s1471-0846(06)70546-7.

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22

Cawley, Alec. "Wind-power feedback." New Scientist 198, no. 2658 (May 2008): 23. http://dx.doi.org/10.1016/s0262-4079(08)61352-4.

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23

Marris, Emma. "Global wind power." Nature 454, no. 7202 (July 2008): 264. http://dx.doi.org/10.1038/454264b.

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24

Marks, Paul. "Supercool wind power." New Scientist 217, no. 2900 (January 2013): 19. http://dx.doi.org/10.1016/s0262-4079(13)60154-2.

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25

Dunlop, John. "U.K. Wind Power." Journal of Alternative Investments 7, no. 2 (September 30, 2004): 85–92. http://dx.doi.org/10.3905/jai.2004.439655.

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26

ISHIHARA, Takeshi. "Offshore Wind Power." Journal of the Society of Mechanical Engineers 114, no. 1109 (2011): 262–64. http://dx.doi.org/10.1299/jsmemag.114.1109_262.

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27

Mozina, Charles. "Wind-Power Generation." IEEE Industry Applications Magazine 17, no. 3 (May 2011): 37–43. http://dx.doi.org/10.1109/mias.2010.939636.

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28

Care, C. M. "Wind power progress." Physics in Technology 17, no. 4 (July 1986): 190–93. http://dx.doi.org/10.1088/0305-4624/17/4/408.

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29

Chen, Q., and K. A. Folly. "Wind Power Forecasting." IFAC-PapersOnLine 51, no. 28 (2018): 414–19. http://dx.doi.org/10.1016/j.ifacol.2018.11.738.

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30

Trubaev, K. P. "Study of Power Dependence of Wind Power from Wind Speed." Journal of Physics: Conference Series 1066 (August 2018): 012026. http://dx.doi.org/10.1088/1742-6596/1066/1/012026.

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31

Huang, Yue Hua, Huan Huan Li, and Guang Xu Li. "Maximum Wind Power Tracking Strategy of Wind Power Generation System." Applied Mechanics and Materials 313-314 (March 2013): 813–16. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.813.

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Aiming at maximum wind power tracking control problem of wind power generation system below the rated wind speed, this paper presents an improved MPPT control strategy by using turbulent part of the wind speed as a search signal to find the maximum power point. By using the Matlab/Simulink simulation of the wind power generation system below the rated wind speed, this paper proves the effectiveness of this control strategy. The simulation results show that improved MPPT control strategy can well control the wind turbine speed to track the wind speed changes to maintain optimum tip speed ratio and the maximum power coefficient.
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32

Pereyra-Castro, Karla, Ernesto Caetano, Oscar Martínez-Alvarado, and Ana L. Quintanilla-Montoya. "Wind and Wind Power Ramp Variability over Northern Mexico." Atmosphere 11, no. 12 (November 27, 2020): 1281. http://dx.doi.org/10.3390/atmos11121281.

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The seasonal and diurnal variability of the wind resource in Northern Mexico is examined. Fourteen weather stations were grouped according to the terrain morphology and weather systems that affect the region to evaluate the impact on wind ramps and high wind persistent events. Four areas driven by weather systems seasonality are identified. Wind power ramps and persistent generation events are produced by cold fronts in winter, while mesoscale convective systems and local circulations are dominant in summer. Moreover, the 2013 wind forecast of the Rapid Refresh Model (RAP) and the North American Mesoscale Forecast System (NAM) forecast systems were also assessed. In general, both systems have less ability to predict mesoscale events and local circulations over complex topography, underestimating strong winds and overestimating weak winds. Wind forecast variations in the mesoscale range are smoother than observations due to the effects of spatial and temporal averaging, producing fewer wind power ramps and longer lasting generation events. The study carried out shows the importance of evaluating operational models in terms of wind variability, wind power ramps and persistence events to improve the regional wind forecast. The characteristics of weather systems and topography of Mexico requires model refinements for proper management of the wind resource.
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33

OKUBO, Hiroshi, Ryo HATAKEYAMA, Hidemi ONODERA, Tsuyoshi SATO, Hironori FUJII, Yusuke MARUYAMA, and Makoto IWAHARA. "Airborne Wind Power Generation Using a Straight Wing Vertical Axis Wind Turbine." Proceedings of Conference of Kanto Branch 2019.25 (2019): 18E16. http://dx.doi.org/10.1299/jsmekanto.2019.25.18e16.

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34

M, Vaghela P., Thorat P. D, and Lakudzode K. B. Prof Udamle S. R. "Train Mounting T-Box for Wind Power Generation." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 898–901. http://dx.doi.org/10.31142/ijtsrd23933.

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35

Gayar, Ali I. El, Zulkurnain Abdul-Malek, and Ibtihal Fawzi El-Shami. "Wind-Induced Clearances Infringement of Overhead Power Lines." International Journal of Computer and Electrical Engineering 6, no. 4 (2014): 275–82. http://dx.doi.org/10.7763/ijcee.2014.v6.838.

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36

Leonowicz, Z. "Power quality in wind power systems." Renewable Energy and Power Quality Journal 1, no. 07 (April 2009): 234–38. http://dx.doi.org/10.24084/repqj07.303.

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37

Chen, Zhe. "Wind power in modern power systems." Journal of Modern Power Systems and Clean Energy 1, no. 1 (June 2013): 2–13. http://dx.doi.org/10.1007/s40565-013-0012-4.

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38

Ko, Seung-Youn, Ho-Chan Kim, Jong-Chul Huh, and Min-Jae Kang. "Wind Estimation Power Control using Wind Turbine Power and Rotor speed." Journal of the Korea Academia-Industrial cooperation Society 17, no. 4 (April 30, 2016): 92–99. http://dx.doi.org/10.5762/kais.2016.17.4.92.

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39

Wang, Yun, Qinghua Hu, Dipti Srinivasan, and Zheng Wang. "Wind Power Curve Modeling and Wind Power Forecasting With Inconsistent Data." IEEE Transactions on Sustainable Energy 10, no. 1 (January 2019): 16–25. http://dx.doi.org/10.1109/tste.2018.2820198.

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40

Ren, Guorui, Jie Wan, Jinfu Liu, Daren Yu, and Lennart Söder. "Analysis of wind power intermittency based on historical wind power data." Energy 150 (May 2018): 482–92. http://dx.doi.org/10.1016/j.energy.2018.02.142.

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41

Song, Hai Hui, Jian Jun Wang, Zhi Hua Hu, and Jin Zhou. "Research on Low-Wind-Speed Wind Power." Applied Mechanics and Materials 448-453 (October 2013): 1811–14. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.1811.

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For high-wind-speed wind power development and problems, propose development and application of low-wind-speed wind power (LWSP). Analysis of the characteristics of LWSP , advantages and necessity of development and application of it. Research the key technologies of LWSP development. It ultimately lay the foundation for research, development and application of LWSP technologies.
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42

Kamiya, Takashi, Kazuto Yukita, Yasuyuki Goto, Hiroyasu Shingu, Katuhiro Ichiyanagi, and Tetsuro Kusakabe. "Wind Collector for the Wind Power Generator." IEEJ Transactions on Power and Energy 124, no. 5 (2004): 791–92. http://dx.doi.org/10.1541/ieejpes.124.791.

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43

Ouchi, Kazuyuki. "“Wind Challenger Project” Utilizing Ocean Wind Power." Marine Engineering 47, no. 4 (2012): 566–71. http://dx.doi.org/10.5988/jime.47.566.

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44

Twidell, John. "Book Review for Wind Engineering: Wind Power." Wind Engineering 34, no. 6 (December 2010): 743–44. http://dx.doi.org/10.1260/0309-524x.34.6.743.

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45

Akın, Semih, and Yusuf Ali Kara. "An Assessment of Wind Power Potential along the Coast of Bursa, Turkey: A Wind Power Plant Feasibility Study for Gemlik Region." Journal of Clean Energy Technologies 5, no. 2 (2017): 101–6. http://dx.doi.org/10.18178/jocet.2017.5.2.352.

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46

Sarkar, Moumita, Müfit Altin, Poul E. Sørensen, and Anca D. Hansen. "Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System." Energies 12, no. 9 (April 27, 2019): 1607. http://dx.doi.org/10.3390/en12091607.

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This article presents the development of a reactive power capability model for a wind power plant (WPP) based on an aggregated wind power collection system. The voltage and active power dependent reactive power capability are thus calculated by using aggregated WPP collection system parameters and considering losses in the WPP collection system. The strength of this proposed reactive power capability model is that it not only requires less parameters and substantially less computational time compared to typical detailed models of WPPs, but it also provides an accurate estimation of the available reactive power. The proposed model is based on a set of analytical equations which represent converter voltage and current limitations. Aggregated impedance and susceptance of the WPP collection system are also included in the analytical equations, thereby incorporating losses in the collection system in the WPP reactive power capability calculation. The proposed WPP reactive power capability model is compared to available methodologies from literature and for different WPP topologies, namely, Horns Rev 2 WPP and Burbo Bank WPP. Performance of the proposed model is assessed and discussed by means of simulations of various case studies demonstrating that the error between the calculated reactive power using the proposed model and the detailed model is below 4% as compared to an 11% error in the available method from literature. The efficacy of the proposed method is further exemplified through an application of the proposed method in power system integration studies. The article provides new insights and better understanding of the WPPs’ limits to deliver reactive power support that can be used for power system stability assessment, particularly long-term voltage stability.
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47

Khan, M. F., and M. R. Khan. "Wind Power Generation in India: Evolution, Trends and Prospects." International Journal of Renewable Energy Development 2, no. 3 (October 30, 2013): 175–86. http://dx.doi.org/10.14710/ijred.2.3.175-186.

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In the present context of shrinking conventional resources coupled with environmental perils, the wind power offers an attractive alternative. Wind power generation in India started way back in early 1980s with the installation of experimental wind turbines in western and southern states of Gujarat and Tamil Nadu. For first two decades of its existence until about 2000 the progress was slow but steady. In last one decade Indian wind electricity sector has grown at very rapid pace which has promoted the country to the fifth position as largest wind electric power generator and the third largest market in the world. The galvanization of wind sector has been achieved through some aggressive policy mechanisms and persistent support by government organizations such as MNRE and C-WET. This paper articulates the journey of Indian wind program right since its inception to the present trends and developments as well as the future prospects. Keywords: mnre, c-wet, renewable energy, wind power, wind turbines.
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48

Afgan, Naim, and Dejan Cvetinovic. "Wind power plant resilience." Thermal Science 14, no. 2 (2010): 533–40. http://dx.doi.org/10.2298/tsci1002533a.

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A wind energy system transforms the kinetic energy of wind into mechanical or electrical energy that can be harnessed for practical use. Mechanical energy is most commonly used for pumping water in rural or remote locations. Electrical energy is obtained by connecting wind turbine with the electricity generator. The performance of the wind power plant depends on the wind kinetic energy. It depends on the number of design parameter of the wind turbine. For the wind power plant the wind kinetic energy conversion depends on the average wind velocity, mechanical energy conversion into electricity, and electricity transmission. Resilience of the wind power plant is the capacity of the system to withstand changes of the following parameters: wind velocity, mechanical energy conversion into electricity, electricity transmission efficiency and electricity cost. Resilience index comprise following indicators: change in wind velocity, change in mechanical energy conversion efficiency, change in conversion factor, change in transmission efficiency, and change in electricity cost. The demonstration of the resilience index monitoring is presented by using following indicators, namely: average wind velocity, power production, efficiency of electricity production, and power-frequency change. In evaluation of the resilience index of wind power plants special attention is devoted to the determination of the resilience index for situation with priority given to individual indicators.
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49

Korobatov, D. V., A. O. Troitskiy, and E. A. Sirotkin. "WIND TURBINE POWER CONTROL." Alternative Energy and Ecology (ISJAEE), no. 15-18 (January 1, 2016): 67–74. http://dx.doi.org/10.15518/isjaee.2016.15-18.067-074.

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50

Liu, Yuanlong, Yuanbiao Zhang, and Ziyue Chen. "Wind Power Prediction Investigation." Research Journal of Applied Sciences, Engineering and Technology 5, no. 5 (February 11, 2013): 1762–68. http://dx.doi.org/10.19026/rjaset.5.4935.

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