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Relevant bibliographies by topics / Integration of wind power

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Academic literature on the topic 'Integration of wind power'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Integration of wind power"

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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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Yan, Qing You, Xin Yan, and Si Qi He. "Forecast of Energy Storage Applied in Wind Power Integration." Applied Mechanics and Materials 291-294 (February 2013): 531–35. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.531.

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Now, the wind power in China develops quite rapidly and the installation of wind power is accounting more and more in power generating installation. Wind power, as a typical kind of renewable energy, is intermittent and unstable so that causes concerns about the damage it may do to power grid when integrate the large-scale wind power. According to that, integration is the main restraint for China to develop wind power. Energy storage, as an emerging technology, has been applied, tested and operated for a few years. It can solve integration problem efficiently and improve the efficiency of wind power integrating with the power grid. Hence, there is a large demand of energy storage on the wind power market. This paper chose grey forecast method to predict the installation of wind power in the near future. Then based on the forecast result, this paper selected low, medium and high rate of energy storage for the wind power system, and finally it predicted the demand of energy storage in the wind power integration from 2012~2015. This paper provided quantitative number and made it possible to plan further development.

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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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Niu, Yukun, Jun Wen, Limin Ma, and Shujie Wang. "Analysis of Offshore Wind Power Integration." Journal of Physics: Conference Series 1920, no. 1 (May 1, 2021): 012009. http://dx.doi.org/10.1088/1742-6596/1920/1/012009.

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Bollen, Math H. J., and Kai Yang. "Harmonic aspects of wind power integration." Journal of Modern Power Systems and Clean Energy 1, no. 1 (June 2013): 14–21. http://dx.doi.org/10.1007/s40565-013-0001-7.

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Okundamiya, Michael S. "Power Electronics for Grid Integration of Wind Power Generation System." Journal of Communications Technology, Electronics and Computer Science 9 (December 27, 2016): 10. http://dx.doi.org/10.22385/jctecs.v9i0.129.

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The rising demands for a sustainable energy system have stimulated global interests in renewable energy sources. Wind is the fastest growing and promising source of renewable power generation globally. The inclusion of wind power into the electric grid can severely impact the monetary cost, stability and quality of the grid network due to the erratic nature of wind. Power electronics technology can enable optimum performance of the wind power generation system, transferring suitable and applicable energy to the electricity grid. Power electronics can be used for smooth transfer of wind energy to electricity grid but the technology for wind turbines is influenced by the type of generator employed, the energy demand and the grid requirements. This paper investigates the constraints and standards of wind energy conversion technology and the enabling power electronic technology for integration to electricity grid.

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Ren, Hui, Dan Xia Yang, David Watts, and Xi Chen. "The Impact of Large Scale Wind Power Integration on a Regional Power Grid - A Case Study." Applied Mechanics and Materials 472 (January 2014): 219–25. http://dx.doi.org/10.4028/www.scientific.net/amm.472.219.

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Renewable Energy especially wind energy integration has attained profound growth across the worldwide power system. Wind energy integration at large scale comes up with the challenge on voltages and reactive power management at power system level. The research work presented in this paper has analyzed the impact of wind energy on reactive power reserve with special reference to Hebei Southern Power System. The maximum wind power integration capacity is calculated, and the effect of increasing wind power integration on voltage profiles is studied. Possible controls from system sides and its effects on wind power integration are explored. Study shows that with the increase of the wind power integration capacity, the intermittency and variation will bring more serious problems to the system frequency regulation, reserve service and voltage control. These problems also become the limiting factors for further increase of large-scale wind power integration. In order to make a better use of wind power resources in Heibei province and maintain system safety at the same time, further research should be performed on exploring the reactive and active power regulation and control of the wind farm and the methods to decrease the variability of wind farm outputs.

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Niyonzima, Celestin. "Wind Power Penetration and Integration in Rwanda." Journal of Information and Technology 6, no. 1 (March 24, 2022): 19–46. http://dx.doi.org/10.53819/81018102t4035.

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Wind energy is the current “star” in the field of renewable energy for electrical production. Still, the power generated from available wind over time is characteristically uneven due to the unpredictable nature of their primary source of power. This only increases the problems inherent to the integration of a great number of wind technologies into power networks, making their contribution rather difficult to manage (regulating voltage and frequency, wind-station operation, etc.). The integration of wind power in the Rwandan electrical system is now an issue in order to optimize the utilization of the resource and in order to continue the high rate of installation of wind generating capacity, which is necessary in order to achieve the goals of sustainability and security of supply. This paper presents and is intended to analyse wind power penetration and integration in the country, impact and challenges that are associated with the integration of wind power into power systems and analyse barriers to wind power penetration and integration in Rwanda. These impacts include effects of wind power on the electrical system, capacity of national grid to accommodate wind power (stability of grid). In addition, the paper suggests the solutions that should be offered to improve the management of wind power generation and increase its penetration in the overall electrical energy production. Keywords: Wind power potential, Wind power penetration, Barriers to wind power penetration, National grid of Rwanda, Integration.

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Zhou, Xi Chao, Fu Chao Liu, and Jing Jing Zheng. "Analyses on Integration of Wind Power into Gansu Power Grid." Advanced Materials Research 608-609 (December 2012): 569–72. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.569.

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In recent years, wind power penetration into the grid has increased rapidly with abundant wind resources in Jiuquan, according to the policy of the Chinese government to “establish a ‘Hexi Wind Power Corridor’ and rebuild another Western ‘Terrestrial Three Gorges Dam’”. By the end of 2010, the total installed capacity of wind power in Jiuquan has reached 5160 MW. The wind farms are connected to 110 kV transmission network or above in Jiuquan, the studies of their impacts on the grid, in particular, the grid operation are becoming serious and urgent. Jiuquan is far away from the load center with a weak grid configuration, therefore issues such as transmission line overloading, local grid voltage fluctuation, and transient stability limitation are looming with large scale wind power integration. The power system dispatch and operation are influenced by the intermittent nature of the wind power, which should be regulated by the system reserves. This paper discusses the recent integration of wind power into the grid with a focus on the impact on the Gansu power grid operation. The paper also presents the measures to deal with these issues.

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M, Sinan, Sivakumar W M, and Anguraja R. "Power System Voltage Stability analysis with Renewable power Integration." International Journal of Innovative Technology and Exploring Engineering 10, no. 6 (April 30, 2021): 114–17. http://dx.doi.org/10.35940/ijitee.f8828.0410621.

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The purpose of this research is to find the loading limit of a power system before hitting voltage instability and to assess the margin to voltage instability of a system consisting of a wind farm. An index called Bus Apparent Power Difference Criterion (BSDC) is used to find maximum loadable point. The measure depends on the way that in the region of the voltage collapse no extra apparent power can be delivered to the affected bus. The analysis is performed combination of wind power injection at different wind speeds and line outages in the network. In the feasibility and siting studies of wind farms the steady state analysis with network contingencies give the utility or the developer a sense of network condition upon the injection of power in the network. However, the extent of voltage stability impacted due to load growth in the system is not assessed. The research paper makes way to assess the impact on voltage stability margin with obtaining the maximum loadable point of the system and assessing the best suited bus to integrate a wind farm into the system.

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Dissertations / Theses on the topic "Integration of wind power"

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Shams, Solary Arasto. "Wind power plants integration to the power grid." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200633.

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Alnaami, Zurya, and José Duenas. "Wind Power Integration and Operational Challenges." Thesis, KTH, Industriell ekologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189059.

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Wind power generation has gained considerable relevance in global energy markets in the last few decades. The technology behind wind turbines and their integration to the power grid are still the focus of considerable research. How exactly does this energy source influence the existing power distribution grid is still a matter of interest to many parties. The method used in this report is based on a literature study which intends to examine what is the current state of energy generation based on wind power in Sweden. In the report we have analyzed some of the integration and operational challenges of connecting a large amount of wind generated electricity to the power grid and attempted to provide an accurate and up to date summary of what these challenges will entail in the coming decade. Our results show that further research would greatly improve the current technology used in wind power generation to allow such a high level penetration.

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Duenas, José, and Zurya Alnaami. "Wind Power Integration and Operational Challenges." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200629.

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Matevosyan, Julija. "Wind Power Integration in Power Systems with Transmission Bottlenecks." Doctoral thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4108.

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Solvang, Tarjei Benum. "Large-scale wind power integration in Nordland." Thesis, Norwegian University of Science and Technology, Department of Electrical Power Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9596.

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Nord-Norsk Vindkraft AS is planning to build two wind farms in Nordland, Norway. The wind farms are located at Sleneset and Sjonfjellet. The planned total installed power is 653 MW. An important part of the planning phase is to perform steady-state and dynamic analyses, to simulate the impacts from the wind farms on the existing power system in the area. The steady-state analysis is performed by Norsk Systemplan og Enøk AS (NORSEC). The project presented in this master thesis is part of the dynamic analysis. The overall objective for this project is to illustrate the dynamic impacts from the wind farms on the existing power system and the differences in impact depending on the various control strategies being used. The following elements are included in the assignment: - Establish a steady-state and dynamic grid model describing the power system in question. - Determine whether the wind farms are able to reach full production during different configurations without reaching an unacceptable operating state. - Examine the impact from and behaviour of transformers with load tap changers. - Illustrate the differences between different control modes in the wind farm connection point. The model used in this project is established by converting the steady-state model used in the steady-state analysis from Netbas to SIMPOW. The time in the steady-state model is set to January 2009. The steady-state model is then expanded by introducing aggregated doubly-fed induction generators for power production in the wind farms. For some of the simulations, a static VAR compensator is inserted at Bardal. The dynamic model is established by introducing a dynamic description of the components in the steady-state model. Due to lack of dynamic data, typical values are used for some of the components. The comparison between the power flows from the basic model provided by NORSEC and the initial converted SIMPOW model show small differences in reactive power flow. These differences were, however to be expected, due to changes made when converting the model from Netbas to SIMPOW but are not considered important for the conclusions to be drawn from the project. Simulations describing an increase in wind power production from 50% to 100% are performed on the dynamic model describing the grid between Salten and Tunnsjødal. The timeframe of increase varies depending of the objective for the specific case. The simulations performed on the dynamic model indicate a need for reactive power compensation between the wind farms and the connection point at Nedre Røssåga. Without reactive power compensation on the radial connection, the wind farms are not able to reach full wind power production without breaching either voltage or thermal limits. This is the case even if local compensation is added at the wind farms. With an SVC in voltage control placed at Bardal, the wind farms are able to reach full power production without violating any specified limits. The SVC maintains acceptable voltage levels within the radial. However, the amount of imported reactive power at the connection point increases during the production increase. This causes a depression in voltage in the rest of the grid. If the SVC at Bardal is set to control the reactive power flow in the connection point, simulations indicate that the amount of reactive power drawn from the main grid can be considerable reduced. This, however, results in a larger need for reactive power production within the radial. A larger reactive power production increases the voltages. Without voltage control at the wind farms or voltage regulation by load tap changers, the simulations show that the voltage at the generator terminals increases above 1.05 pu. Simulations demonstrate that tap-operations in the transformer at the connection point between the main grid and the wind farm radial increases the amount of imported reactive power. This takes place when the SVC operates in voltage control. The need for reactive power production within the radial is then reduced. The tendency is the same whether voltage control is introduced at the wind farms or not. When the SVC operates in reactive power control and no voltage control is present at the wind farms, tap-operations from the same transformer result in an increase in reactive power production within the radial. However, if voltage control is included at the wind farms, tap-operations at the connection point will decrease the reactive power production. This is because in voltage control the wind farms are consuming reactive power in order to maintain a specified terminal voltage. The results from the simulations indicate that the number of tap-operations from the transformer at the connection point is reduced when the SVC at Bardal operates in reactive power control compared to when it operates in voltage control. However, no wind models based on statistics are introduced in this project. It is therefore uncertain to what extent a similar result would be obtained under more realistic conditions. All the simulations show that when the production from the wind farms increases, the voltages in the grid outside the radial decreases. This is due to increased reactive losses. The decrease is largest when the SVC at Bardal operates in voltage control due to reactive power drawn by the radial connection. The area in the main grid with the largest decrease is located between the connection point at Nedre Røssåga and Trofors. This project is only a part of the necessary dynamic analyses that have to be carried out in the planning phase for the wind farms at Sleneset and Sjonfjellet. A natural continuation of this project could be to perform analyses in a light load situation, and analyses of the systems response to disturbances. Wind models obtained from statistical wind data should also be included in future dynamic analyses.

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Bryans, L. "Grid integration of large-scale wind power." Thesis, Queen's University Belfast, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438115.

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Olauson, Jon. "Modelling Wind Power for Grid Integration Studies." Doctoral thesis, Uppsala universitet, Elektricitetslära, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-302837.

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When wind power and other intermittent renewable energy (IRE) sources begin to supply a signiﬁcant part of the load, concerns are often raised about the inherent intermittency and unpredictability of these sources. In order to study the impact from higher IRE penetration levels on the power system, integration studies are regularly performed. The model package presented and evaluated in Papers I–IV provides a comprehensive methodology for simulating realistic time series of wind generation and forecasts for such studies. The most important conclusion from these papers is that models based on coarse meteorological datasets give very accurate results, especially in combination with statistical post-processing. Advantages with our approach include a physical coupling to the weather and wind farm characteristics, over 30 year long, 5-minute resolution time series, freely and globally available input data and computational times in the order of minutes. In this thesis, I make the argument that our approach is generally preferable to using purely statistical models or linear scaling of historical measurements. In the variability studies in Papers V–VII, several IRE sources were considered. An important conclusion is that these sources and the load have very different variability characteristics in different frequency bands. Depending on the magnitudes and correlations of these ﬂuctuation, different time scales will become more or less challenging to balance. With a suitable mix of renewables, there will be little or no increase in the needs for balancing on the seasonal and diurnal timescales, even for a fully renewable Nordic power system. Fluctuations with periods between a few days and a few months are dominant for wind power and net load ﬂuctuations of this type will increase strongly for high penetrations of IRE, no matter how the sources are combined. According to our studies, higher capacity factors, more offshore wind power and overproduction/curtailment would be beneﬁcial for the power system.

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Gesino, Alejandro J. [Verfasser]. "Power reserve provision with wind farms : Grid integration of wind power / Alejandro J. Gesino." Kassel : Kassel University Press, 2011. http://d-nb.info/1017005591/34.

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Halliday, J. A. "Wind meteorology and the integration of electricity generated by wind turbines." Thesis, University of Strathclyde, 1988. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21325.

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The generation of electricity using wind turbines is now widespread and commercially viable. There are two aspects of wind energy which are critically important. Firstly, the evaluation of the wind resource, both on nationally and on a local scale. Secondly, the integration of electricity generated by wind turbines into existing electricity grids without reducing the reliability of supply or reducing the overall economic efficiency of the system. This thesis examines both these aspects. Chapters 3 and 4 are concerned with the large scale utilisation of wind energy. Chapter 3 discusses the suitability for wind energy evaluation of the data held by the UK Meteorological office, describes the results of a detailed examination of over 130 station-years of hourly data, and recommends areas of further study as well as a UK standard for site description. Chapter 4 describes a computer model used to examine the effects of integrating wind-generated electricity into the CEGB National Grid and the results obtained with it. The relative importance of dispersal of wind turbines, load and wind forecasting, variation of turbine characteristics and inter-annual variability of wind speed is determined. Chapters 5 and 6 are concerned with a detailed evaluation of thewind energy potential on the Shetland island group. Chapter 5 describes the planning, testing and installation of two hill-top monitoring stations on Shetland and the results found. Chapter 6 describes the development of a computer model of the Shetland Power Station, which is used to examine how the introduction of wind turbines would affect the operation of the power station and the maximum energy penetration possible before power cuts occur. Both chapters conclude with detailed recommendations which will be of worldwide use as the wind energy potential of other diesel-fuelled grids is determined.

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Verez, Guillaume. "System integration of large scale offshore wind power." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elkraftteknikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-12608.

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Electricity generation, along with motor vehicles, is one of the biggest sources of pollution for the planet. Renewable energies are not able to replace massively polluting power plants but they can at least alleviate for it. Biomass and hydro power are the main source of renewable energy but wind power is developing to high extent, increasing by 30% its installed capacity every year in the world. Norway is increasing its wind power production since every hydro power areas are already used. The shallow Norwegian waters along with the increase of energy demand leads to offshore wind project.The aim of this thesis is to study the integration of large scale offshore wind farms into the grid. The biggest offshore wind farm is currently installed in the United Kingdom (Thanet) and its capacity is 300 MW. The wind farm studied here has a capacity of 1000 MW. HVAC and HVDC transmission are investigated in order to connect the wind farm to Norway. Case faults are performed in order to study the system stability. The connection points are located in the most populated areas of Norway, where there is a real need for new power plants: Sørlandet and Vestlandet.Statnett is the Norwegian transmission system operator and thus the focus was made on the connection with power flow and stability analysis and not on the full description of the wind farm. For simulations, Statnett is mainly using PSS®E (Power System Simulator) from Siemens but as much of the help was providing by SINTEF, the largest independent research organisation in Scandinavia, it was more convenient to use their tool: SIMPOW from STRI AB.

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Books on the topic "Integration of wind power"

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Fort, J. D. Wind power integration. Manchester: UMIST, 1994.

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(Firm), Xcel Energy. Wind integration study. Knoxville, TN: EnerNex Corp., 2004.

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Heier, Siegfried. Grid integration of wind energy conversion systems. Chichester: Wiley, 1998.

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Grid integration of wind energy conversion systems. 2nd ed. Chichester, West Sussex, England: Wiley, 2006.

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Commission, Minnesota Public Utilities, EnerNex Corporation, Midwest Independent System Operator, and WindLogics Inc, eds. Final report: 2006 Minnesota wind integration study. Knoxville, TN: EnerNex Corporation, 2006.

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(Firm), GE Energy. Western Wind and Solar Integration Study. Golden, Colo: National Renewable Energy Laboratory, 2010.

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Mello, Phillip De. Summary of recent wind integration studies: Experience from 2007 - 2010. Sacramento, California]: [California Energy Commission], 2012.

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National Renewable Energy Laboratory (U.S.), ed. Initial economic analysis of utility-scale wind integration in Hawaii. Golden, CO: National Renewable Energy Laboratory, 2012.

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Jarass, L. Windenergie: Zuverlässige Integration in die Energieversorgung. 2nd ed. Berlin: Springer, 2009.

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Ding, Tao. Power System Operation with Large Scale Stochastic Wind Power Integration. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2561-7.

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Book chapters on the topic "Integration of wind power"

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Matevosyan, Julia, and Pengwei Du. "Wind Integration in ERCOT." In Power Electronics and Power Systems, 1–25. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55581-2_1.

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Estanqueiro, Ana. "Wind Integration in Portugal." In Wind Power in Power Systems, 569–94. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119941842.ch25.

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Wanser, Sven, and Frank Ehlers. "Grid Integration." In Understanding Wind Power Technology, 369–405. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118701492.ch10.

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Jauch, Clemens. "Grid Integration of Wind Turbines." In Wind Power Technology, 427–90. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20332-9_10.

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Osborn, Dale. "Wind Power Grid Integration wind power grid integration : Transmission Planning wind power grid integration transmission planning." In Encyclopedia of Sustainability Science and Technology, 12174–202. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_90.

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Osborn, Dale. "Wind Power Grid Integration wind power grid integration : Transmission Planning wind power grid integration transmission planning." In Renewable Energy Systems, 1740–68. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5820-3_90.

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Rodríguez García, Juan Ma, Olivia Alonso García, and Miguel de la Torre Rodríguez. "Wind Power Integration Experience in Spain." In Wind Power in Power Systems, 595–622. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119941842.ch26.

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Holttinen, Hannele. "Overview of Integration Studies - Methodologies and Results." In Wind Power in Power Systems, 361–86. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119941842.ch17.

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Guo, Qinglai, and Hongbin Sun. "Voltage Control for Wind Power Integration Areas." In Power Electronics and Power Systems, 269–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55581-2_9.

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Chi, Yongning, Zhen Wang, Yan Li, and Weisheng Wang. "Large-Scale Wind Power Integration into the Chinese Power System." In Wind Power in Power Systems, 689–706. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119941842.ch30.

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Conference papers on the topic "Integration of wind power"

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Strbac, G. "Integration of wind power." In IET Seminar on Kyoto - at What Price? How GHG Markets are Impacting the Power Industry. IEE, 2006. http://dx.doi.org/10.1049/ic:20060251.

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Haupt, Sue Ellen, Gerry Wiener, Yubao Liu, Bill Myers, Juanzhen Sun, David Johnson, and William Mahoney. "A Wind Power Forecasting System to Optimize Power Integration." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54773.

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The National Center for Atmospheric Research (NCAR) has developed a wind prediction system for Xcel Energy, the power company with the largest wind capacity in the United States. The wind power forecasting system includes advanced modeling capabilities, data assimilation, nowcasting, and statistical post-processing technologies. The system ingests both external model data and observations. NCAR produces a deterministic mesoscale wind forecast of hub height winds on a very fine resolution grid using the Weather Research and Forecasting (WRF) model, run using the Real Time Four Dimensional Data Assimilation (RTFDDA) system. In addition, a 30 member ensemble system is run to both improve forecast accuracy and provide an indication of forecast uncertainty. The deterministic and ensemble model output plus data from various global and regional models are ingested by NCAR’s Dynamic, Integrated, Forecast System (DICast®), a statistical learning algorithm. DICast® produces forecasts of wind speed for each wind turbine. These wind forecasts are then fed into a power conversion algorithm that has been empirically derived for each Xcel power connection node. In addition, a ramp forecasting technology fine-tunes the capability to accurately predict the time, magnitude, and duration of a ramping event. This basic system has consistently improved Xcel’s ability to optimize the economics of incorporating wind energy into their power system.

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Mugambi, G., and L. Cai. "Influence of power oscillation damping assets reactive power capacity on damping low-frequency power system oscillations." In 21st Wind & Solar Integration Workshop (WIW 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2776.

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Partinen, P., P. H. Nielsen, O. P. Janhunen, L. Linnamaa, N. Akel, K. Nayebi, T. Lund, and A. Harjula. "Tuning of power plant voltage and reactive power controllers considering equivalent short circuit ratio." In 21st Wind & Solar Integration Workshop (WIW 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2832.

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Lew, Debra, Charles Alonge, Michael Brower, Jaclyn Frank, Lavelle Freeman, Kirsten Orwig, Cameron Potter, and Yih-Huei Wan. "Wind data inputs for regional wind integration studies." In 2011 IEEE Power & Energy Society General Meeting. IEEE, 2011. http://dx.doi.org/10.1109/pes.2011.6039695.

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Danneman, Eugene R., and Stephen J. Beuning. "Wind Integration: System and Generation Issues." In ASME 2010 Power Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/power2010-27128.

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Abstract:

Intermittent availability of wind and solar power will require increased dispatch flexibility of conventional power plants to supply voltage support, frequency control, regulation and spinning reserves (ancillary services for regulation). Deep load follow ramp cycling and on/off state cycling will cause irreversible damage to conventional coal power plants. That damage must be managed to optimize unit reliability, fuel, variable O&M, emissions and maintenance capital investment costs. Wind Resources will play an important role in Xcel Energy’s future resource portfolio. The high levels of wind energy forecasted to be on line by 2020 will likely lead our utility to back down operations at some base load resources and require greater unit dispatch flexibility. These studies helped identify and estimate costs due to wear-and-tear caused by varying generating unit operation. The next step will involve optimizing total system costs using several solutions.

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Bergsträβer né Schütt, J., H. Becker, T. Schellien, S. Liebehentze, and U. Spanel. "Areal power plant: aggregation system to control a multitude of distributed generators during power system restoration - demonstration results." In 21st Wind & Solar Integration Workshop (WIW 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2758.

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Carlson, Ola, and Stefan Lundberg. "Integration of wind power by DC-power systems." In 2005 IEEE Russia Power Tech. IEEE, 2005. http://dx.doi.org/10.1109/ptc.2005.4524793.

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Zhong, Jin, Yunhe Hou, and Felix F. Wu. "Wind power forecasting and integration to power grids." In 2010 International Conference on Green Circuits and Systems (ICGCS). IEEE, 2010. http://dx.doi.org/10.1109/icgcs.2010.5542999.

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Soares, B. M. M., I. C. da Costa, J. P. A. E. Santo, P. E. A. Cardoso, and S. L. B. Pereira. "Obtaining flat initialization of complex renewable power plant models." In 21st Wind & Solar Integration Workshop (WIW 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2816.

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Reports on the topic "Integration of wind power"

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DeCesaro, J., and K. Porter. Wind Energy and Power System Operations: A Review of Wind Integration Studies to Date. Office of Scientific and Technical Information (OSTI), December 2009. http://dx.doi.org/10.2172/970337.

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O'Neill, Barbara, and Ilya Chernyakhovskiy. Designing Wind and Solar Power Purchase Agreements to Support Grid Integration. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1262663.

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Makarov, Yuri V., Zhenyu Huang, Pavel V. Etingov, Jian Ma, Ross T. Guttromson, Krishnappa Subbarao, and Bhujanga B. Chakrabarti. Wind Energy Management System Integration Project Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations. Office of Scientific and Technical Information (OSTI), September 2010. http://dx.doi.org/10.2172/985583.

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Venkataramanan, Giri, Bernard Lesieutre, Thomas Jahns, and Ankur R. Desai. Integration of Wind Energy Systems into Power Engineering Education Program at UW-Madison. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1215792.

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Makarov, Yuri V., Zhenyu Huang, Pavel V. Etingov, Jian Ma, Ross T. Guttromson, Krishnappa Subbarao, and Bhujanga B. Chakrabarti. Wind Energy Management System EMS Integration Project: Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/977321.

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Constantinescu, E. M., V. M. Zavala, M. Rocklin, S. Lee, and M. Anitescu. Unit commitment with wind power generation: integrating wind forecast uncertainty and stochastic programming. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/1009334.

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Denholm, P., G. Brinkman, D. Lew, and M. Hummon. Operation of Concentrating Solar Power Plants in the Western Wind and Solar Integration Phase 2 Study. Office of Scientific and Technical Information (OSTI), May 2014. http://dx.doi.org/10.2172/1132184.

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Hansen, Clifford W. Validation of simulated irradiance and power for the Western Wind and Solar Integration Study. Phase II. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1055649.

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Brooks, Daniel, EPRI, Aidan, EPRI Tuohy, Sidart, LCG Consulting Deb, Srinivas, LCG Consulting Jampani, Brendan, Consultant Kirby, and Jack, Consultant King. DOE: Integrating Southwest Power Pool Wind Energy into Southeast Electricity Markets. Office of Scientific and Technical Information (OSTI), November 2011. http://dx.doi.org/10.2172/1029965.

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Smith, J. Charles, Brian Parsons, Thomas Acker, Michael Milligan, Robert Zavidil, Matthew Schuerger, and Edgar DeMeo. Best Practices in Grid Integration of Variable Wind Power: Summary of Recent US Case Study Results and Mitigation Measures. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/1218415.

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