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

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Miller, Alistair I., and Romney B. Duffey. "SUSTAINABLE SUPPLY OF GLOBAL ENERGY NEEDS AND GREENHOUSE GAS REDUCTIONS." Transactions of the Canadian Society for Mechanical Engineering 33, no. 1 (March 2009): 1–10. http://dx.doi.org/10.1139/tcsme-2009-0002.

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Nuclear plants emit virtually no greenhouse gases over their full life-cycle. Consequently, continued operation of existing nuclear plants is recognized as essential to meeting even the modest greenhouse gas reduction targets of the Kyoto Accord. However, much expanded nuclear deployment will be needed as developing economies aggressively grow GDP with its associated growth in electrical power. Projecting to 2040 and based on the scenarios of the United Nations Intergovernmental Panel on Climate Change’s (IPCC), we have examined deploying increased non-carbon energy sources for electricity production, including further conversion of electricity to hydrogen using conventional low-temperaturc water electrolysis. Our NuWind© model has been used to calculate the production costs for hydrogen in typical potential markets, using the actual prices of electricity paid by the Alberta Power Pool and by the Ontario Grid. The analysis shows clearly that by optimizing the co-production of hydrogen and electricity (referred to as the H2/e process) the cost for hydrogen produced can comfortably meet the US Department of Energy’s target for realistic nuclear investment costs, hydrogen generation systems, and wind capacity factors. The synergy of nuclear plus wind power for hydrogen generation plus co-production of electricity improves the economics of harnessing wind energy to produce hydrogen.

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2

Siddiqui, Osamah, and Ibrahim Dincer. "Comparative assessment of the environmental impacts of nuclear, wind and hydro-electric power plants in Ontario: A life cycle assessment." Journal of Cleaner Production 164 (October 2017): 848–60. http://dx.doi.org/10.1016/j.jclepro.2017.06.237.

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3

Rowlands, Ian H., and Carey Jernigan. "Wind Power in Ontario." Bulletin of Science, Technology & Society 28, no. 6 (December 2008): 436–53. http://dx.doi.org/10.1177/0270467608315942.

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4

Xu, X., and U. S. Akhtar. "Identification of potential regional sources of atmospheric total gaseous mercury in Windsor, Ontario, Canada using hybrid receptor modeling." Atmospheric Chemistry and Physics 10, no. 15 (August 3, 2010): 7073–83. http://dx.doi.org/10.5194/acp-10-7073-2010.

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Abstract. Windsor (Ontario, Canada) experiences trans-boundary air pollution as it is located on the border immediately downwind of industrialized regions of the United States of America. A study was conducted in 2007 to identify the potential regional sources of total gaseous mercury (TGM) and investigate the effects of regional sources and other factors on seasonal variability of TGM concentrations in Windsor. TGM concentration was measured at the University of Windsor campus using a Tekran® 2537A Hg vapour analyzer. An annual mean of 2.02±1.63 ng/m3 was observed in 2007. The average TGM concentration was high in the summer (2.48±2.68 ng/m3) and winter (2.17±2.01 ng/m3), compared to spring (1.88±0.78 ng/m3) and fall (1.76±0.58 ng/m3). Hybrid receptor modeling potential source contribution function (PSCF) was used by incorporating 72-h backward trajectories and measurements of TGM in Windsor. The results of PSCF were analyzed in conjunction with the Hg emissions inventory of North America (by state/province) to identify regions affecting Windsor. In addition to annual modeling, seasonal PSCF modeling was also conducted. The potential source region was identified between 24–61° N and 51–143° W. Annual PSCF modeling identified major sources southwest of Windsor, stretching from Ohio to Texas. The emissions inventory also supported the findings, as Hg emissions were high in those regions. Results of seasonal PSCF modeling were analyzed to find the combined effects of regional sources, meteorological conditions, and surface re-emissions, on seasonal variability of Hg concentrations. It was found that the summer and winter highs of atmospheric Hg can be attributed to areas where large numbers of coal fired power plants are located in the USA. Weak atmospheric dispersion due to low winds and high re-emission from surfaces due to higher temperatures also contributed to high concentrations in the summer. In the winter, the atmospheric removal of Hg was slow, but strong winds led to more dispersion, resulting in lower concentrations than the summer. Future studies could use smaller grid sizes and refined emission inventories, for more accurate analysis of source-receptor relationship of atmospheric Hg.

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5

Xu, X., and U. S. Akhtar. "Identification of potential regional sources of atmospheric total gaseous mercury in Windsor, Ontario, Canada using hybrid receptor modeling." Atmospheric Chemistry and Physics Discussions 9, no. 6 (November 19, 2009): 24847–74. http://dx.doi.org/10.5194/acpd-9-24847-2009.

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Abstract. Windsor (Ontario) – the automotive capital of Canada does not have any significant mercury (Hg) sources. However, Windsor experiences trans-boundary air pollution as it is located immediately downwind of industrialized regions of the United States of America. A study was conducted in 2007 aimed to identify the potential regional sources of total gaseous mercury (TGM) and investigate the effects of regional sources and other factors on seasonal variability of TGM concentrations in Windsor. TGM concentration was measured at the University of Windsor campus using a Tekran® 2537A Hg vapour analyzer. An annual mean of 2.02±1.63 ng/m3 was observed in 2007. The average TGM concentration was high in the summer (2.48 ng/m3) and winter (2.17 ng/m3), compared to spring (1.88 ng/m3) and fall (1.76 ng/m3). Hybrid receptor modeling potential source contribution function (PSCF) was used by incorporating 72-h backward trajectories and measurements of TGM in Windsor. The results of PSCF were analyzed in conjunction with the Hg emissions inventory of North America (by state/province) to identify regions affecting Windsor. In addition to annual modeling, seasonal PSCF modeling was also conducted. The potential source region was identified between 24–61° N and 51–143° W. Annual PSCF modeling identified major sources southwest of Windsor, stretching from Ohio to Texas. The emissions inventory also supported the findings, as Hg emissions were high in those regions. Results of seasonal PSCF modeling were analyzed to find the combined effects of regional sources, meteorological conditions, and surface reemissions, on intra-annual variability of Hg concentrations. It was found that the summer and winter highs of atmospheric Hg can be attributed to areas where large numbers of coal fired power plants are located in the USA. Weak atmospheric dispersion due to low winds and high reemission from surfaces due to higher temperatures contributed to high concentrations in the summer. In the winter, the atmospheric removal of Hg was slow, but strong winds led to more dispersion, resulting in lower concentrations than the summer. Future studies could use smaller grid sizes and refined emission inventories, for more accurate analysis of source-receptor relationship of atmospheric Hg. Abbreviations of states/provinces: Alabama (AL), Arkansas (AR), British Columbia (BC), Georgia (GA), Iowa (IA), Illinois (IL), Indiana (IN), Kentucky (KY), Louisiana (LA), Manitoba (MB), Michigan (MI), Minnesota (MN), Mississippi (MS), Missouri (MO), Newfoundland and Labrador (NL), Ohio (OH), Ontario (ON), Oregon (OR), Pennsylvania (PA), Tennessee (TN), Texas (TX), West Virginia (WV), Wisconsin (WI).

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6

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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7

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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8

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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9

Solovev, Bogdan, and Giorgi Gamisonia. "WIND POWER PREDICTION METHODS FOR SHELF WIND POWER PLANTS." Electrical and data processing facilities and systems 18, no. 3-4 (2022): 108–20. http://dx.doi.org/10.17122/1999-5458-2022-18-3-4-108-120.

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Relevance Wind energy forecasting is an opportunity to evaluate the production possibilities of a wind farm in the short term. Production often refers to the available capacity of the wind farm in question. For example, to date, the installed wind power in Russia has reached 20 GW. Direct transmission operators use existing tools to forecast wind production up to 48 hours. Forecasting tools help optimize power system management. This article discusses the abundance of relevant forecasting methods in the field of wind energy, evaluates their effectiveness and value for the most effective control of wind energy. Particular attention is paid to the ongoing development of wind energy forecasting models to meet the specifics of shelf. Aim of research Conduct a comparative analysis of existing forecasting methods in the field of wind energy under general given conditions, choose the best method for a particular case. Research methods To solve the problem, the authors conducted a comparative analysis of the popular, currently existing methods for forecasting wind farms, comparing their applicability with the specification of the area of use. Results In the course of the study, modern wind energy forecasting tools were analyzed, a comparative analysis was carried out, and conclusions were drawn about the applicability of each of the methods. Keywords: wind energy, short-term forecasting, shelf, optimization, efficiency, model, tool, control, mathematical model, forecast error level

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10

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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11

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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12

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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13

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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14

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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15

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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16

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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17

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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18

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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19

Jovanovic, Slobodan V., Thomas Zakharov, Hemendra Mulye, Duck Kim, and Kelly-Anne Fagan. "Determination of hydrazine at Ontario nuclear power plants." Analytical Methods 7, no. 23 (2015): 9825–34. http://dx.doi.org/10.1039/c5ay02178b.

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In this study, we developed and validated a sensitive method for the determination of hydrazine in water samples using ion chromatography coupled with an amperometric detector (limit of detection (LOD) = 0.02 μg L⁻¹ and limit of quantification (LOQ) = 0.1 μg L⁻¹).

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20

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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21

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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22

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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23

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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24

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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25

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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26

Ilyas, A. M., A. Suyuti, I. C. Gunadin, and S. M. Said. "Forecasting model of power generated by wind power plants." IOP Conference Series: Earth and Environmental Science 926, no. 1 (November 1, 2021): 012084. http://dx.doi.org/10.1088/1755-1315/926/1/012084.

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Abstract The power generated by wind power plants is unstable so forecasting is needed to maintain the power balance in an interconnected system. The purpose of this research is to predict the power generated at the Sidrap and Jeneponto wind power plants. The method used is an optimally pruned extreme learning machine (OPELM). The extreme learning machine (ELM) method is used as a comparison method. The mean absolute percentage error (MAPE) method is used to assess the level of forecasting accuracy. Forecasting power generation with Sidrap wind power plant data using the OPELM method is 0.8970% more accurate than the ELM which is 1.0853%. In general, the OPELM method is more accurate. Forecasting power generation with data from the Jeneponto wind power plant using the OPELM method is 2.4887% more accurate than the ELM method is 2.9984%. These results indicate that linear, sigmoid, and Gaussian activation in the OPELM method can increase accuracy. The OPELM method can be tested in forecasting the power generation at the Sidrap and Jeneponto wind power plants to maintain a power balance in the Sulselbar power grid system.

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27

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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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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Ashtine, Masaō, Richard Bello, and Kaz Higuchi. "Feasibility of Small Wind Turbines in Ontario: Integrating Power Curves with Wind Trends." Resources 5, no. 4 (December 7, 2016): 44. http://dx.doi.org/10.3390/resources5040044.

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30

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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31

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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32

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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33

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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34

Ullah, Kaleem, Abdul Basit, Zahid Ullah, Fahad R. Albogamy, and Ghulam Hafeez. "Automatic Generation Control in Modern Power Systems with Wind Power and Electric Vehicles." Energies 15, no. 5 (February 27, 2022): 1771. http://dx.doi.org/10.3390/en15051771.

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The modern power system is characterized by the massive integration of renewables, especially wind power. The intermittent nature of wind poses serious concerns for the system operator owing to the inaccuracies in wind power forecasting. Forecasting errors require more balancing power for maintaining frequency within the nominal range. These services are now offered through conventional power plants that not only increase the operational cost but also adversely affect the environment. The modern power system emphasizes the massive penetration of wind power that will replace conventional power plants and thereby impact the provision of system services from conventional power plants. Therefore, there is an emergent need to find new control and balancing solutions, such as regulation reserves from wind power plants and electric vehicles, without trading off their natural behaviors. This work proposes real-time optimized dispatch strategies for automatic generation control (AGC) to utilize wind power and the storage capacity of electric vehicles for the active power balancing services of the grid. The proposed dispatch strategies enable the AGC to appropriately allocate the regulating reserves from wind power plants and electric vehicles, considering their operational constraints. Simulations are performed in DIgSILENT software by developing a power system AGC model integrating the generating units and an EVA model. The inputs for generating units are considered by selecting a particular day of the year 2020, when wind power plants are generating high power. Different coordinated dispatch strategies are proposed for the AGC model to incorporate the reserve power from wind power plants and EVs. The performance of the proposed dispatch strategies is accessed and discussed by obtaining responses of the generating units and EVs during the AGC operation to counter the initial power imbalances in the network. The results reveal that integration of wind power and electric vehicles alongside thermal power plants can effectively reduce real-time power imbalances acquainted in power systems due to massive penetration of wind power that subsequently improves the power system security. Moreover, the proposed dispatch strategy reduces the operational cost of the system by allowing the conventional power plant to operate at their lower limits and therefore utilizes minimum reserves for the active power balancing services.

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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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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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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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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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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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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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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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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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Sheryazov, Saken Koyshybaevich, Sultanbek Sansyzbaevich Issenov, Ruslan Maratbekovich Iskakov, and Argyn Bauyrzhanuly Kaidar. "Special Aspects of Using the Wind Power Plants In the Power Supply System." E3S Web of Conferences 288 (2021): 01003. http://dx.doi.org/10.1051/e3sconf/202128801003.

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The paper describes special aspects of using the wind power plants (wind turbines) in the power grid. The paper provides the classification and schematic presentation of AC wind turbines, analyzes the role, place and performance of wind power plants in Smart Grid systems with a large share of renewable energy sources. The authors also reviews a detailed analysis of existing AC wind turbines in this paper. Recommendations are given for how to enhance the wind power plants in smart grids in terms of reliability, and introduce the hardware used in the generation, conversion and interface systems into the existing power grid. After the wind power plants had been put online, the relevance of the Smart Grid concept for existing power grids was obvious. The execution of such projects is assumed to be financially costly, requires careful study, and development of flexible algorithms, but in some cases this may be the only approach. The analysis of using wind turbines shows that the structural configuration of wind power plants can be based on the principles known in the power engineering. The approaches may differ, not fundamentally, but in engineering considerations. it is necessary to point out that the method of controlling dual-power machines is quite comprehensive so that their wide use will face operational problems caused by the lack of highly professional specialists in electric drives. Therefore, it seems advisable to use square-cage asynchronous generators in wide applications. The paper shows that as the renewable energy sources are largely used in power grids, there is an issue of maintaining the power generation at a required level considering the variability of incoming wind energy. This results in the malfunctions in the operation of relay protection devices and emergency control automatics (RP and ECA), and the complicated control. Also, the standards of the CIS countries and regulatory documents miss the requirements for the wind turbine protections, taking into account their specialty causing the inefficient standard protective logic, which does not work correctly in a number of abnormal and emergency operating modes, and especially Smart Grid in power grids.

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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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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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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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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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