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Ghaedi, Amir, Sedaghati, Reza, Mahmoudian, Mehrdad. (1402). Reliability Modeling of Various Type of Wind Turbines. نشریه مهندسی عمران امیرکبیر, 56(2), 227-244. doi: 10.22060/eej.2023.22353.5535
Amir Ghaedi; Reza Sedaghati; Mehrdad Mahmoudian. "Reliability Modeling of Various Type of Wind Turbines". نشریه مهندسی عمران امیرکبیر, 56, 2, 1402, 227-244. doi: 10.22060/eej.2023.22353.5535
Ghaedi, Amir, Sedaghati, Reza, Mahmoudian, Mehrdad. (1402). 'Reliability Modeling of Various Type of Wind Turbines', نشریه مهندسی عمران امیرکبیر, 56(2), pp. 227-244. doi: 10.22060/eej.2023.22353.5535
Ghaedi, Amir, Sedaghati, Reza, Mahmoudian, Mehrdad. Reliability Modeling of Various Type of Wind Turbines. نشریه مهندسی عمران امیرکبیر, 1402; 56(2): 227-244. doi: 10.22060/eej.2023.22353.5535

Reliability Modeling of Various Type of Wind Turbines

AUT Journal of Electrical Engineering
مقاله 7، دوره 56، شماره 2، 2024، صفحه 227-244    اصل مقاله (1.15 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/eej.2023.22353.5535
نویسندگان
Amir Ghaedi* 1؛ Reza Sedaghati2؛ Mehrdad Mahmoudian3
1Department of Electrical Engineering, Dariun Branch, Islamic Azad University, Dariun, Iran.
2Department of Electrical Engineering, Beyza Branch, Islamic Azad University, Beyza, Iran.
3Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, Iran.
چکیده
Various wind turbines have been manufactured for converting wind power into electric energy. They are fixed speed concepts with squirrel cage induction generators, limited variable speed concepts with wound rotor induction generators, variable speed concepts with double fed induction generators, direct-drive concepts with electrically excited synchronous generators and gearbox-free concepts with permanent magnet induction technologies. The composed components and the power curve of these technologies are different and to select an appropriate wind turbine for a wind site, in addition to the economic parameter, reliability criterion must be considered. To address this, a reliability model is developed in this paper that considers both component failure and the unpredictable nature of wind speed for different types of wind turbines. The optimal state number of reliability presentations is determined using XB index calculation and fuzzy c-means clustering method to create multi-state presentations for wind turbines. The proposed approach can be used to determine the most reliable wind turbine for a given wind site by assessing the adequacy of the electric network containing various types of wind turbines. The approach's effectiveness is demonstrated through adequacy assessments of the RBTS and IEEE-RTS, which contain various types of wind turbines.
کلیدواژه‌ها
Wind Turbine؛ Adequacy؛ Reliability؛ Induction Generator؛ Fuzzy c-means clustering
مراجع
  1. https://www.power-technology.com/features/ feature-biggest-wind-farms-in-the-world-texas/
  2. Ding, Y., et al. "Short-term and medium-term reliability evaluation for power systems with high penetration of wind power." IEEE Transactions on Sustainable Energy, vol. 5, no. 3, pp.896-906, 2014.
  3. Nguyen, N., Almasabi, S., and Mitra, J. "Impact of correlation between wind speed and turbine availability on wind farm reliability." IEEE Transactions on Industry Applications, vol. 55, no. 3, pp. 2392-2400, 2019.
  4. Sulaeman, S., et al. "A wind farm reliability model considering both wind variability and turbine forced outages." IEEE Transactions on Sustainable Energy, vol. 8, no. 2, pp. 629-637, 2017.
  5. Wu, Y.K., et al. "Economics-and reliability-based design for an offshore wind farm." IEEE Transactions on Industry Applications, vol. 53, no. 6, pp. 5139-5149, 2017.
  6. Nguyen, N., and Mitra, J. "Reliability of power system with high wind penetration under frequency stability constraint." IEEE Transactions on Power Systems, vol. 33, no. 1, pp.985-994, 2017.
  7. Wang, S., et al."2-D wind speed statistical model for reliability assessment of microgrid." IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp. 1159-1169, 2016.
  8. Liang, C., et al. "Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability." IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6084-6094, 2017.
  9. Chao, H., et al. "A Sequential MCMC Model for Reliability Evaluation of Offshore Wind Farms Considering Severe Weather Conditions." IEEE Access, vol. 7, pp. 132552-132562, 2019.
  10. Ghaedi, A., et al. "Toward a comprehensive model of large-scale DFIG-based wind farms in adequacy assessment of power systems." IEEE Transactions on Sustainable Energy, vol. 5, no. 1, pp.55-63, 2013.
  11. Hoyle, N., and Flow, E. "Wind Turbine Power Calculations." RWE power renewables, vol. 1, no. 1, pp. 1-5, 2009.
  12. Zhang, X., et al. "An improved adaptive-torque-gain MPPT control for direct-driven PMSG wind turbines considering wind farm turbulences." Energies, vol. 9, no. 11, 977-986, 2016.
  13. Li, H., and Chen. Z. "Overview of different wind generator systems and their comparisons." IET Renewable Power Generation, vol. 2, no. 2, pp. 123-138, 2008.
  14. Billinton, R., Allan, R.N. "Reliability Evaluation of Power Systems', 2nd edition. New York, NY, USA and London, U.K.: Plenum, 1994.
  15. Ghaedi, Amir, et al. "Toward a comprehensive model of large-scale DFIG-based wind farms in adequacy assessment of power systems." IEEE Transactions on Sustainable Energy, vol. 5, no. 1, pp.55-63, 2013.
  16. Ghaedi, A., et al. "Incorporating Large Photovoltaic Farms in Power‎ Generation System Adequacy Assessment." Scientia Iranica, vol. 21, no. 3, pp. 924-934, 2014.
  17. Khalilzadeh, E., et al. "Reliability modeling of run-of-the-river power plants in power system adequacy studies." IEEE Transactions on Sustainable Energy, vol. 5, no. 4, pp.1278-1286, 2014.
  18. Mirzadeh, M., Simab, M., and Ghaedi, A. "Adequacy studies of power systems with barrage-type tidal power plants." IET Renewable Power Generation, vol. 13, no. 14, pp. 2612-2622, 2019.
  19. Mirzadeh, M., Simab, M., and Ghaedi, A. "Reliability evaluation of power systems containing tidal power plant." Journal of Energy Management and Technology, vol. 4, no. 2, pp. 28-38, 2020.
  20. Mirzadeh, M., Simab, M., and Ghaedi, A. "Reliability Modeling of Reservoir-Based Tidal Power Plants for Determination of Spinning Reserve in Renewable Energy-based Power Systems." Electric Power Components and Systems, vol. 47, no. 16, pp. 1534-1550, 2019.
  21. Chen, M. Ludwig, S.A. "Particle swarm optimization based fuzzy clustering approach to identify optimal number of clusters." Journal of Artificial Intelligence and Soft Computing Research, vol. 4, no. 1, pp. 43– 56, 2014.
  22. Cannon, R.L., Jitendra, V.D., and J. C. Bezdek, J.C. “Efficient Implementation of the Fuzzy c-Means Clustering Algorithms,” IEEE Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 2, pp. 248-25, 1986.
  23. Ribrant, J., and Bertling, L.M. “Survey of Failures in Wind Power Systems with Focus on Swedish Wind Power Plants During 1997–2005,”, IEEE Trans. Energy Conver., 22, no. 1, pp. 167-173, 2007.
  24. Billinton, R., Kumar, S.,  Chowdhury, N., et al. "A Reliability Test System for Educational Purposes-Basic Data", Power Engineering Review, vol. 9, no. 8, pp. 67-68, 1989.
  25. Billinton, R., and Li, W. “Reliability Assessment of Electric Power System Using Monte Carlo”, Plenum Press, New York, 1994.
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