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Journal articles on the topic 'Wind power plants – Antarctica'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Agee, Ernest, Andrea Orton, and John Rogers. "CO2 Snow Deposition in Antarctica to Curtail Anthropogenic Global Warming." Journal of Applied Meteorology and Climatology 52, no. 2 (February 2013): 281–88. http://dx.doi.org/10.1175/jamc-d-12-0110.1.

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AbstractA scientific plan is presented that proposes the construction of carbon dioxide (CO2) deposition plants in the Antarctic for removing CO2 gas from Earth’s atmosphere. The Antarctic continent offers the best environment on Earth for CO2 deposition at 1 bar of pressure and temperatures closest to that required for terrestrial air CO2 “snow” deposition—133 K. This plan consists of several components, including 1) air chemistry and CO2 snow deposition, 2) the deposition plant and a closed-loop liquid nitrogen refrigeration cycle, 3) the mass storage landfill, 4) power plant requirements, 5) prevention of dry ice sublimation, and 6) disposal (or use) of thermal waste. Calculations demonstrate that this project is worthy of consideration, whereby 446 deposition plants supported by sixteen 1200-MW wind farms can remove 1 billion tons (1012 kg) of carbon (1 GtC) annually (a reduction of 0.5 ppmv), which can be stored in an equivalent “landfill” volume of 2 km × 2 km × 160 m (insulated to prevent dry ice sublimation). The individual deposition plant, with a 100 m × 100 m × 100 m refrigeration chamber, would produce approximately 0.4 m of CO2 snow per day. The solid CO2 would be excavated into a 380 m × 380 m × 10 m insulated landfill, which would allow 1 yr of storage amounting to 2.24 × 10−3 GtC. Demonstrated success of a prototype system in the Antarctic would be followed by a complete installation of all 446 plants for CO2 snow deposition and storage (amounting to 1 billion tons annually), with wind farms positioned in favorable coastal regions with katabatic wind currents.

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2

Solomin, E. V., I. M. Kirpichnikova, R. A. Amerkhanov, D. V. Korobatov, M. Lutovats, and A. S. Martyanov. "THE USE OF WIND-HYDROGEN UNINTERRUPTED POWER SUPPLY PLANT IN DIFFERENT CLIMATIC CONDITIONS." Alternative Energy and Ecology (ISJAEE), no. 13-15 (August 11, 2018): 30–54. http://dx.doi.org/10.15518/isjaee.2018.13-15.030-054.

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The paper presents the project of the autonomous power complex on the basis of wind-power plant and hydrogen module with a capacity in 3 kW with further replication to 50 kW and shows the possibilities of operation of the present plant in different climatic conditions of Russia: Siberia, the Far East, the Northern Caucasus, Krasnodar territory, and also for universal use in climatic zones of the Arctic and Antarctic, deserts of Africa and the isolated islands with typical destructive sea salt fogs.This paper carries out the study, comprehensive analysis and comparison of known types and classes of wind plants, as a result of which the authors have developed an innovative multi-tier scalable vertically-axial wind power plant. This unit is used as the main power source, the uninterrupted part of which is based on a cyclically operating hydrogen module, contains an electrolytic cell, a fuel cell system and a hydrogen storage device with a communication and control system. The components of the power plant developed by the authors’ team operate at a single DC voltage and can be connected to a common bus bar with an increase of power in this complex. Flexible control algorithms allow optimizing the operation of the power complex to reduce the start-stop frequency, thereby increasing both the service life and time intervals between maintenance. Remote control provides monitoring and management of electricity output processes and hydrogen storage with the help of Internet technologies in long-term modes.The study has shown that this equipment is long-lived, reliable and environmentally friendly, and the system is modular and flexible because it is easily scaled under consumer’s control including the personal power consumption and small business. Moreover, the developed power plant is accessible in purchase, mounting and operation for remote energy consumers as far as the assessed value of equipment is correlating with the cost of power line installation and the operation of equipment does not require large engineering and technological skills.

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3

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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4

Limonov, L., and J. Sokolovsky. "GEARLESS WIND POWER PLANTS." Energy saving. Power engineering. Energy audit., no. 1(149) (November 30, 2019): 45–51. http://dx.doi.org/10.20998/2313-8890.2019.01.06.

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5

Quraeshi, S. "Solar/wind power plants." Solar & Wind Technology 4, no. 1 (January 1987): 51–54. http://dx.doi.org/10.1016/0741-983x(87)90007-5.

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6

Bolonkin, Alexander A., and Richard Brook Cathcart. "Antarctica: a southern hemisphere wind power station?" International Journal of Global Environmental Issues 8, no. 3 (2008): 262. http://dx.doi.org/10.1504/ijgenvi.2008.018641.

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7

Kuznetsov, P. N., V. V. Cheboxarov, and B. A. Yakimovich. "Hybrid Wind-Solar Power Plants." Bulletin of Kalashnikov ISTU 23, no. 1 (June 15, 2020): 45. http://dx.doi.org/10.22213/2413-1172-2020-1-45-53.

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Приведен анализ известных подходов к созданию гибридных ветро-солнечных энергетических установок. На примерах показано, что размещение фотоэлектрических преобразователей на роторах ветрогенераторов, существующих конструкций является неэффективным решением по ряду факторов. Представлено описание конструкции гибридной ветро-солнечной установки, разработанной ООО «НТЦ «Солнечная энергетика», с вертикальным ротором Дарье и фотоэлектрическими преобразователями, расположенными на общей опорной конструкции, позволяющей получить положительный синергетический эффект от использования двух возобновляемых источников энергии. Приведены достоинства данного решения, одними из которых является повышение энергетической эффективности фотоэлектрических преобразователей за счет интенсификации теплоотвода от поверхности фотоэлементов ветровым потоком от ротора Дарье, эффективное использование площади и стабильность выдачи электроэнергии.Приведены преимущества использования гибридных установок, работающих от возобновляемых источников энергии, в частности ветро-солнечных установок. Описаны возможные пути снижения негативных последствий, вызванных нестабильным характером выработки электроэнергии такими установками.Описаны результаты проведенных работ, направленных на повышение энергетической эффективности ротора ветроустановки и фотоэлектрических преобразователей за счет установки оптимального угла лопастей и фотоэлектрических модулей. Результатами моделирования показано, что максимальное значение коэффициента использования ветра достигается при установке лопастей под углом 38°, а оптимальный угол установки фотоэлектрических модулей для г. Севастополя составляет 34°. Приведены оценочные расчеты энергетических параметров комбинированной ветро-солнечной установки.

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8

Föllings, F. J., and A. E. Pfeiffer. "Economics of wind power plants." Journal of Wind Engineering and Industrial Aerodynamics 27, no. 1-3 (January 1988): 263–74. http://dx.doi.org/10.1016/0167-6105(88)90041-4.

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9

Wan, Yih-huei, Michael Milligan, and Brian Parsons. "Output Power Correlation Between Adjacent Wind Power Plants*." Journal of Solar Energy Engineering 125, no. 4 (November 1, 2003): 551–55. http://dx.doi.org/10.1115/1.1626127.

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The National Renewable Energy Laboratory (NREL) started a project in 2000 to record long-term, high-frequency (1-Hz) wind power data from large commercial wind power plants in the Midwestern United States. Outputs from about 330 MW of installed wind generating capacity from wind power plants in Lake Benton, MN, and Storm Lake, Iowa, are being recorded. Analysis of the collected data shows that although very short-term wind power fluctuations are stochastic, the persistent nature of wind and the large number of turbines in a wind power plant tend to limit the magnitude of fluctuations and rate of change in wind power production. Analyses of power data confirms that spatial separation of turbines greatly reduces variations in their combined wind power output when compared to the output of a single wind power plant. Data show that high-frequency variations of wind power from two wind power plants 200 km apart are independent of each other, but low-frequency power changes can be highly correlated. This fact suggests that time-synchronized power data and meteorological data can aid in the development of statistical models for wind power forecasting.

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10

LUBOSNY, Zbigniew. "Wind Power Plants Influence on Electric Power System." AUTOMATYKA, ELEKTRYKA, ZAKLOCENIA 7, no. 4(26)2016 (December 31, 2016): 54–70. http://dx.doi.org/10.17274/aez.2016.26.03.

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11

Zharkov, Sergei, Valery Stennikov, Ivan Postnikov, and Andrei Penkovsky. "Combined power generationby thermal and wind power plants." Energy-Safety and Energy-Economy 3 (June 2017): 8–14. http://dx.doi.org/10.18635/2071-2219-2017-3-8-14.

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12

KUHI-THALFELDT, R., and J. VALTIN. "COMBINED HEAT AND POWER PLANTS BALANCING WIND POWER." Oil Shale 26, no. 3 (2009): 294. http://dx.doi.org/10.3176/oil.2009.3s.11.

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13

Gjengedal, Terje. "Large-scale wind power farms as power plants." Wind Energy 8, no. 3 (2005): 361–73. http://dx.doi.org/10.1002/we.165.

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14

LeGourieres, D., and Peter South. "Wind Power Plants—Theory and Design." Journal of Solar Energy Engineering 107, no. 1 (February 1, 1985): 107–8. http://dx.doi.org/10.1115/1.3267641.

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15

DEMİRBAŞ, AYHAN. "Competition Potential of Wind Power Plants." Energy Sources 27, no. 7 (May 2005): 605–12. http://dx.doi.org/10.1080/00908310490448550.

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16

Steinbuch, M., W. W. de Boer, O. H. Bosgra, S. A. W. M. Peters, and J. Ploeg. "Optimal control of wind power plants." Journal of Wind Engineering and Industrial Aerodynamics 27, no. 1-3 (January 1988): 237–46. http://dx.doi.org/10.1016/0167-6105(88)90039-6.

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17

Sayigh, A. A. M. "Wind power plants—theory and design." Solar & Wind Technology 4, no. 4 (January 1987): 525. http://dx.doi.org/10.1016/0741-983x(87)90032-4.

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18

Wan, Yih-huei, and Demy Bucaneg,. "Short-Term Power Fluctuations of Large Wind Power Plants*." Journal of Solar Energy Engineering 124, no. 4 (November 1, 2002): 427–31. http://dx.doi.org/10.1115/1.1507762.

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To evaluate short-term wind power fluctuations and their impact on electric power systems, the National Renewable Energy Laboratory, in cooperation with Enron Wind, has started a project to record output power from several large commercial wind power plants at the 1-Hertz rate. This paper presents statistical properties of the data collected so far and discusses the results of data analysis. From the available data, we can already conclude that despite the stochastic nature of wind power fluctuations, the magnitudes and rates of wind power changes caused by wind speed variations are seldom extreme, nor are they totally random. Their values are bounded in narrow ranges. Power output data also show significant spatial variations within a large wind power plant. The data also offer encouraging evidence that accurate wind power forecasting is feasible. To the utility system, large wind power plants are not really random burdens. The narrow range of power level step changes provides a lot of information with which system operators can make short-term predictions of wind power. Large swings of wind power do occur, but those infrequent large changes (caused by wind speed changes) are always related to well-defined weather events, most of which can be accurately predicted in advance.

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19

Miettinen, Jari, Hannele Holttinen, and Bri‐Mathias Hodge. "Simulating wind power forecast error distributions for spatially aggregated wind power plants." Wind Energy 23, no. 1 (September 11, 2019): 45–62. http://dx.doi.org/10.1002/we.2410.

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20

Basit, Abdul, Tanvir Ahmad, Asfand Yar Ali, Kaleem Ullah, Gussan Mufti, and Anca Daniela Hansen. "Flexible Modern Power System: Real-Time Power Balancing through Load and Wind Power." Energies 12, no. 9 (May 6, 2019): 1710. http://dx.doi.org/10.3390/en12091710.

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Increasing large-scale integration of renewables in conventional power system has led to an increase in reserve power requirement owing to the forecasting error. Innovative operating strategies are required for maintaining balance between load and generation in real time, while keeping the reserve power requirement at its minimum. This research work proposes a control strategy for active power balance control without compromising power system security, emphasizing the integration of wind power and flexible load in automatic generation control. Simulations were performed in DIgSILENT for forecasting the modern Danish power system with bulk wind power integration. A high wind day of year 2020 was selected for analysis when wind power plants were contributing 76.7% of the total electricity production. Conventional power plants and power exchange with interconnected power systems utilize an hour-ahead power regulation schedule, while real-time series are used for wind power plants and load demand. Analysis showed that flexible load units along with wind power plants can actively help in reducing real-time power imbalances introduced due to large-scale integration of wind power, thus increasing power system reliability without enhancing the reserve power requirement from conventional power plants.

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21

Takahashi, Sbuhei. "Characteristics of Drifting Snow at Mizuho Station, Antarctica." Annals of Glaciology 6 (1985): 71–75. http://dx.doi.org/10.3189/1985aog6-1-71-75.

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Observations of drifting snow were carried out at Mizuho Station (70°42'S, 44°20'E, 2230 m above sea level), East Antarctica, in 1982. Drift flux was proportional to about the 8th power of wind velocity above 1 m and about the 4th power below 0.1 m, while snow drift transport rate was proportional to about the 5th power. For drift flux at 1 m height, the power had a temperature dependence, decreasing above -20 °C. Visibility was proportional to about the -8th power of wind velocity; this is explained by the power relation between drift flux and wind velocity. The repose angle of drifting snow particles was observed by the inclination of a cone-shaped deposit on a disk; it was more than 80° when snow was falling and less than 80° without precipitation. The fall velocity of drifting snow particles, obtained by time-marked trajectories of particles, was between 0.3 and 0.9 m/s, and depended on wind velocity and snow particle shape.

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22

Takahashi, Sbuhei. "Characteristics of Drifting Snow at Mizuho Station, Antarctica." Annals of Glaciology 6 (1985): 71–75. http://dx.doi.org/10.1017/s0260305500010028.

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Observations of drifting snow were carried out at Mizuho Station (70°42'S, 44°20'E, 2230 m above sea level), East Antarctica, in 1982. Drift flux was proportional to about the 8th power of wind velocity above 1mand about the 4th power below 0.1 m, while snow drift transport rate was proportional to about the 5th power. For drift flux at 1 m height, the power had a temperature dependence, decreasing above -20 °C. Visibility was proportional to about the -8th power of wind velocity; this is explained by the power relation between drift flux and wind velocity. The repose angle of drifting snow particles was observed by the inclination of a cone-shaped deposit on a disk; it was more than 80° when snow was falling and less than 80° without precipitation. The fall velocity of drifting snow particles, obtained by time-marked trajectories of particles, was between 0.3 and 0.9 m/s, and depended on wind velocity and snow particle shape.

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23

Chioncel, C. P., G. Erdodi, and O. G. Tirian. "Energy efficiency of wind power plants in various wind condition." Journal of Physics: Conference Series 1781, no. 1 (February 1, 2021): 012035. http://dx.doi.org/10.1088/1742-6596/1781/1/012035.

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24

Keddie, Tom. "Wind power in Victoria." Proceedings of the Royal Society of Victoria 126, no. 2 (2014): 20. http://dx.doi.org/10.1071/rs14020.

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In terms of generation capacity, Victoria has about 12,500 MW, out of a National Electricity Market (NEM) total of over 46,000 MW. A bit over half of Victoria’s capacity is made up of the brown coal generators in the Latrobe Valley (Loy Yang, Hazelwood, Yallourn). Gas-fired generation (mainly large open-cycle peaking plants, designed to operate only in times of high demand) and hydro plants (mainly parts of the Snowy scheme) add about 20% each, with wind currently making up the balance of around 9% of installed capacity in Victoria. In terms of wind farm location across the NEM, installed capacity is predominantly located in Victoria and South Australia, and to a lesser extent in Tasmania, with very small amounts in New South Wales and Queensland. This distribution is almost entirely due to the quality of the wind resource across the country.

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25

Rezaei, Nima, Mohammad Lutfi Othman, Noor Izzri Abdul Wahab, Hashim Hizam, and Osaji Emmanuel Olufemi. "Wind Power Plants Protection Using Overcurrent Relays." Universal Journal of Electrical and Electronic Engineering 2, no. 8 (November 2014): 311–19. http://dx.doi.org/10.13189/ujeee.2014.020802.

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26

Ackerman, Thomas, and Ola Carlson. "Grid integration of wind power generating plants." Wind Energy 11, no. 1 (January 2008): 1. http://dx.doi.org/10.1002/we.256.

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27

Urishev, Bоboraim, Rumiya Beytullayeva, Аsror Umirov, and Оybek Almardonov. "Hydraulic energy storage of wind power plants." E3S Web of Conferences 264 (2021): 04053. http://dx.doi.org/10.1051/e3sconf/202126404053.

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The article discusses information on the need to accumulate energy from renewable sources to improve their efficiency, as well as some examples of the integration of systems for hydraulic energy storage and renewable sources, which ensure an increase in the reliability and volume of energy generation. The method for determining the parameters of a wind power plant's hydraulic energy storage system, which is based on the balance of the daily load produced and spent on energy storage, is presented. With changing daily loads, this technique makes it possible to determine the main parameters of the complex, including the volume of accumulated water, the coefficient of energy use of the wind power station. A functional diagram of the programmed control of the pumped storage and wind power plant parameters for the optimal use of the wind potential in hydraulic energy storage is presented. Based on the results of calculations using the proposed method, the main parameters of the system based on pumped storage and wind power plant with a capacity of 100 MW were determined, the efficiency of hydraulic energy storage was determined in comparison with lithium-ion batteries.

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28

Fu, Zheng Ning, and Hong Wen Xie. "Wind Speed Forecasting Based on FNN in Wind Farm." Applied Mechanics and Materials 651-653 (September 2014): 1117–22. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1117.

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Wind speed forecasting plays a significant role to the operation of wind power plants and power systems. An accurate forecasting on wind power can effectively relieve or avoid the negative impact of wind power plants on power systems and enhance the competition of wind power plants in electric power market. Based on a fuzzy neural network (FNN), a method of wind speed forecasting is presented in this paper. By mining historical data as the learning stylebook, the fuzzy neural network (FNN) forecasts the wind speed. The simulation results show that this method can improve the accuracy of wind speed forecasting effectively.

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29

El-Azab, Rasha, Eslam M. Wazeer, Mohamed Daowd, and A. M. Abdel Ghany. "Conventional generation emulation for power grids with a high penetration of wind power." Clean Energy 5, no. 1 (March 1, 2021): 93–103. http://dx.doi.org/10.1093/ce/zkaa027.

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Abstract Integrating large-scale wind plants with the electricity grids has many challenges for grid operators. Besides the variability and uncertainty of wind power, coordinating between different technologies of generation in the same grid can be considered the main problem, specifically for short-term frequency stability. Therefore, a large penetration of wind power generation in modern power grids has a risky influence on the power-system frequency. Wind-generation plants have contradictory behaviour compared to classic thermal plants, especially in active generated power-shortage events due to the variable nature of wind power. Existing experience in wind plants keeps part of the available wind power unloaded, using what are known as deloading techniques. Different deloading techniques are usually applied to emulate the thermal-plant-governor function and confirm a proper spinning reserve for any active-power shortages. These techniques decrease the generated power from wind plants continuously from maximum point tracking ones. Consequently, the practical capacity, annual generated energy and economical income of wind plants are reduced. In addition, grid-protection and control sub-schemes are set and designed according to the well-known conventional responses of thermal plants, which increase the need for thermal-plant-behaviour emulation. In this paper, instead of the usual deloading methods, a supercapacitors scheme is proposed with wind turbines to emulate the response of conventional power plants. The study discusses the technical and economic benefits of the proposed addition of supercapacitors in the wind-plant-planning phase. Restricted frequency grid-code indices are selected to evaluate studied behaviours. Simulation results of the IEEE four-generation two-area system determines the effectiveness of suggested schemes technically. The System Advisor Model (SAM) program estimates the economic benefits of a typical US study case compared with the existing wind-deloading technique.

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30

Valery, Stennikov, Penkovsky Andrey, and Postnikov Ivan. "Hybrid power source based on heat and wind power plants." MATEC Web of Conferences 212 (2018): 02002. http://dx.doi.org/10.1051/matecconf/201821202002.

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The technology of use of electric power of the wind power plants for direct replacement of fuel in the thermal cycles of the heat power plants is offered in the paper. The technology avoids solving the problems of ensuring the quality of electricity and the operational redundancy of the wind power in the power systems, as well as permits combining the achievements of traditional (gas turbine and steam and gas technologies, combined-cycle technologies and heating) and non-traditional renewable energy. The energy and environmental effects from the application of the proposed technology are shown, the technological advantages of the proposed schemes are considered, providing them with a wide scope of practical use both in local and in large power systems. The implementation and development of the proposed technology will allow extending and expanding business for manufacturers of steam turbine and gas turbine equipment, including the transition to the hydrogen power. The proposed technologies are protected by the patent.

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31

Cepeda, Angie C., and Mario A. Rios. "Bulk power system availability assessment with multiple wind power plants." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (February 1, 2021): 27. http://dx.doi.org/10.11591/ijece.v11i1.pp27-36.

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The use of renewable non-conventional energy sources, as wind electric power energy and photovoltaic solar energy, has introduced uncertainties in the performance of bulk power systems. The power system availability has been employed as a useful tool for planning power systems; however, traditional methodologies model generation units as a component with two states: in service or out of service. Nevertheless, this model is not useful to model wind power plants for availability assessment of the power system. This paper used a statistical representation to model the uncertainty of power injection of wind power plants based on the central moments: mean value, variance, skewness and kurtosis. In addition, this paper proposed an availability assessment methodology based on application of this statistical model, and based on the 2m+1 point estimate method the availability assessment is performed. The methodology was tested on the IEEE-RTS assuming the connection of two wind power plants and different correlation among the behavior of these plants.

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32

Kapov, S., V. Alekseenko, D. Sidelnikov, I. Orlyanskaya, and V. Likhanos. "Wind power plants functioning model in the power supply system." IOP Conference Series: Materials Science and Engineering 1001 (December 31, 2020): 012033. http://dx.doi.org/10.1088/1757-899x/1001/1/012033.

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33

Tywoniuk, Andrzej, and Zbigniew Skorupka. "Storage of Wind Power Energy." Journal of KONES 26, no. 4 (December 1, 2019): 257–64. http://dx.doi.org/10.2478/kones-2019-0116.

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AbstractThere has been a big increase in production and investments in wind turbines and wind farms in last 20 years. New generation of wind turbines is more reliable than from 1980’s are, which necessary condition is energy production is to play an important role among renewable energy sources. Over the last 30 years, the size of wind turbines increased 7 times, as nominal power increased nearly 14 times. At present, turbines capable of producing over 10 MW of power are being developed. The main reason for continued growth of turbines sizes is to minimize the energy cost per kilowatt-hour. However, it is worth remembering that according to the „square-cube law”, there is a maximum size after the surpassing of witch the cost of ever-larger turbines would grow faster than financial gain from the increased size. In this article, authors present energy storage methods and devices for wind power plants and cost-effectiveness of the individual energy storage methods. Authors also present data about energy storage efficiency and groups of energy storage devices for wind power plants such as: compressed-air power stations + gas turbine (CAES), utilizing underground wells, pumped storage power plants, rechargeable batteries (lithium-ion, lead-acid, sodium sulphur, VRB, zinc-flow, zinc-air, zinc-air), flywheels, hydrogen production and storage systems, superconducting magnetic energy storage (SMES), electrostatic storage – electrolytic capacitors.

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34

Yulianto, Y., E. Mandayatma, and B. Priyadi. "Study of comparison of tail wind turbines in wind power plants." IOP Conference Series: Materials Science and Engineering 732 (January 27, 2020): 012054. http://dx.doi.org/10.1088/1757-899x/732/1/012054.

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35

Khlyupin, P. A., and G. N. Ispulaeva. "An algorithm for selection of a wind-driven power plant for a standalone power facility." Power and Autonomous equipment 2, no. 3 (October 30, 2019): 152–65. http://dx.doi.org/10.32464/2618-8716-2019-2-3-152-165.

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Introduction: the article reviews the main types of wind turbines and electric power generators designated for wind-driven power plants, as well as new technological solutions. The co-authors have identified the main strengths and weaknesses of wind-driven power plants used as a source of alternative energy. The co-authors have developed an algorithm for selection of a standalone power supply system using a wind-driven power plant.Subject of research: using a comprehensive approach to efficiently design and develop wind-driven power plants with account for climatic and geographic conditions, specifications of wind-driven power plants to be installed.Objective: identification of requirements and specifications needed to develop an algorithm for selection of a standalone power supply system using a wind power plant.Methods: the co-authors have analyzed different types of wind turbines and power generators which are currently in use.Results and discussion: the co-authors present the algorithm for selection of a standalone power supply system using a wind-driven power plant.Conclusion: the algorithm, which is being developed by the co-authors, helps to design an efficient standalone power supply system having a wind-driven power plant.

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36

Klychev, Sh I., M. M. Mukhammadiyev, O. Kh Nizomov, and K. D. Potayenko. "Energy costs in combined solar-wind power plants." Applied Solar Energy 44, no. 3 (September 2008): 176–78. http://dx.doi.org/10.3103/s0003701x08030080.

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Buktukov, N. S., B. ZH Buktukov, and G. ZH Moldabayeva. "EFFICIENCY IMPROVEMENT OF SELF-REGULATING WIND POWER PLANTS." REPORTS 4, no. 326 (August 15, 2019): 5–9. http://dx.doi.org/10.32014/2019.2518-1483.107.

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OPREA, Simona-Vasilica, and Adela BARA. "Business Intelligence Solutions for Wind Power Plants Operation." Informatica Economica 18, no. 3/2014 (September 30, 2014): 41–54. http://dx.doi.org/10.12948/issn14531305/18.3.2014.04.

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Razzhivin, I. A., N. U. Ruban, A. V. Kievec, A. B. Askarov, and R. A. Ufa. "Simulating wind power plants for relay protection problems." Journal of Physics: Conference Series 1111 (December 2018): 012054. http://dx.doi.org/10.1088/1742-6596/1111/1/012054.

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Singh, Mohit, Alicia J. Allen, Eduard Muljadi, Vahan Gevorgian, Yingchen Zhang, and Surya Santoso. "Interarea Oscillation Damping Controls for Wind Power Plants." IEEE Transactions on Sustainable Energy 6, no. 3 (July 2015): 967–75. http://dx.doi.org/10.1109/tste.2014.2348491.

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Follo, Alessandra, Oscar Saborío-Romano, Elisabetta Tedeschi, and Nicolaos A. Cutululis. "Challenges in All-DC Offshore Wind Power Plants." Energies 14, no. 19 (September 23, 2021): 6057. http://dx.doi.org/10.3390/en14196057.

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As the size and distance from shore of new offshore wind power plants (OWPPs) increase, connection to shore using high-voltage (HV) direct-current (DC) technology becomes more cost-effective. Currently, every offshore wind power plant has a collection system based on medium-voltage alternating-current technology. Such systems rely on heavy and bulky low-frequency (i.e., 50 or 60 Hz) transformers: a drawback offshore, where equipment weight and space are restricted. Consequently, there is growing interest in medium-voltage direct-current collection systems, in which low-frequency transformers are replaced with DC/DC converters equipped with lighter and smaller medium-frequency transformers. However, the deployment of all-DC OWPPs still faces several challenges. Based on a very comprehensive and critical literature review, three of them are identified and discussed in this paper. The first challenge is the technological gap at component level. In this work, the DC/DC converter topologies most suitable for application to OWPPs are described and compared. The second challenge is the controllability of DC collection systems. Parallel, series and hybrid DC collection system layouts are presented and discussed. The third challenge is the compliance of all-DC OWPPs with current requirements for their connection to the onshore grids. The three challenges are discussed to highlight current research gaps and potential future directions.

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Kasner, Robert, Weronika Kruszelnicka, Patrycja Bałdowska-Witos, Józef Flizikowski, and Andrzej Tomporowski. "Sustainable Wind Power Plant Modernization." Energies 13, no. 6 (March 20, 2020): 1461. http://dx.doi.org/10.3390/en13061461.

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The production of energy in wind power plants is regarded as ecologically clean because there being no direct emissions of harmful substances during the conversion of wind energy into electricity. The production and operation of wind power plant components make use of the significant potential of materials such as steel, plastics, concrete, oils, and greases. Energy is also used, which is a source of potential negative environmental impacts. Servicing a wind farm power plant during its operational years, which lasts most often 25 years, followed by its disassembly, involves energy expenditures as well as the recovery of post-construction material potential. There is little research in the world literature on models and methodologies addressing analyses of the environmental and energy aspects of wind turbine modernization, whether in reference to turbines within their respective lifecycles or to those which have already completed them. The paper presents an attempt to solve the problems of wind turbine modernization in terms of balancing energy and material potentials. The aim of sustainable modernization is to overhaul: assemblies, components, and elements of wind power plants to extend selected phases as well as the lifecycle thereof while maintaining a high quality of power and energy; high energy, environmental, and economic efficiency; and low harmfulness to operators, operational functions, the environment, and other technical systems. The aim of the study is to develop a methodology to assess the efficiency of energy and environmental costs incurred during the 25-year lifecycle of a 2 MW wind power plant and of the very same power plant undergoing sustainable modernization to extend its lifecycle to 50 years. The analytical and research procedure conducted is a new model and methodological approach, one which is a valuable source of data for the sustainable lifecycle management of wind power plants in an economy focused on process efficiency and the sustainability of energy and material resources.

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Díaz, Guzmán, Javier Gómez-Aleixandre, and José Coto. "Wind power scenario generation through state-space specifications for uncertainty analysis of wind power plants." Applied Energy 162 (January 2016): 21–30. http://dx.doi.org/10.1016/j.apenergy.2015.10.052.

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Yang, Xi Yun, Peng Wei, Huan Liu, and Bao Jun Sun. "Short-Term Wind Power Forecasting Based on SVM with Backstepping Wind Speed of Power Curve." Applied Mechanics and Materials 224 (November 2012): 401–5. http://dx.doi.org/10.4028/www.scientific.net/amm.224.401.

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Accurate wind farm power prediction can relieve the disadvantageous impact of wind power plants on power systems and reduce the difficulty of the scheduling of power dispatching department. Improving accuracy of short-term wind speed prediction is the key of wind power prediction. The authors have studied the short-term wind power forecasting of power plants and proposed a model prediction method based on SVM with backstepping wind speed of power curve. In this method, the sequence of wind speed that is calculated according to the average power of the wind farm operating units and the scene of the power curve is the input of the SVM model. The results show that this method can meet the real-time needs of the prediction system, but also has better prediction accuracy, is a very valuable short-term wind power prediction method.

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Tan, Zhongfu, Qingkun Tan, and Yuwei Wang. "Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power." Journal of Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/6139086.

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For the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and wind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the electricity market. In this context, this paper studies the bidding strategy of the virtual power plant with photovoltaic and wind power. Assuming that the upper and lower limits of the combined output of photovoltaic and wind power are stochastically variable, the fluctuation range of the day-ahead energy market and capacity price is stochastically variable. If the capacity of the storage station is large enough to stabilize the fluctuation of the output of the wind and photovoltaic power, virtual power plants can participate in the electricity market bidding. This paper constructs a robust optimization model of virtual power plant bidding strategy in the electricity market, which considers the cost of charge and discharge of energy storage power station and transmission congestion. The model proposed in this paper is solved by CPLEX; the example results show that the model is reasonable and the method is valid.

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Schönleber, Kevin, Carlos Collados, Rodrigo Teixeira Pinto, Sergi Ratés-Palau, and Oriol Gomis-Bellmunt. "Optimization-based reactive power control in HVDC-connected wind power plants." Renewable Energy 109 (August 2017): 500–509. http://dx.doi.org/10.1016/j.renene.2017.02.081.

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Moon, Won-Sik, Ara Jo, and Jae-Chul Kim. "Economic Evaluation of Power Grid Interconnection between Offshore Wind Power Plants." Transactions of the Korean Institute of Electrical Engineers P 63, no. 4 (December 1, 2014): 339–44. http://dx.doi.org/10.5370/kieep.2014.63.4.339.

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Deksnys, R., and R. Staniulis. "PENETRATION AND INTEGRATION OF WIND POWER PLANTS INTO LITHUANIAN POWER SYSTEM." Oil Shale 26, no. 3 (2009): 319. http://dx.doi.org/10.3176/oil.2009.3s.13.

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Díaz, Guzmán, Estefanía Planas, Jon Andreu, and Javier Gómez-Aleixandre. "Risk-based optimal distribution of power reserves in wind power plants." Wind Energy 20, no. 3 (July 22, 2016): 397–410. http://dx.doi.org/10.1002/we.2012.

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Zeni, Lorenzo, Robert Eriksson, Spyridon Goumalatsos, Mufit Altin, Poul Sorensen, Anca Hansen, Philip Kjaer, and Bo Hesselbaek. "Power Oscillation Damping From VSC–HVDC Connected Offshore Wind Power Plants." IEEE Transactions on Power Delivery 31, no. 2 (April 2016): 829–38. http://dx.doi.org/10.1109/tpwrd.2015.2427878.

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