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Ghaedi, Amir, Sedaghati, Reza, Mahmoudian, Mehrdad. (1402). Well-being Approach of the Power Systems Integrated to the Central Receiver Power Plants. نشریه مهندسی عمران امیرکبیر, 55(2), 281-304. doi: 10.22060/eej.2023.22013.5504
Amir Ghaedi; Reza Sedaghati; Mehrdad Mahmoudian. "Well-being Approach of the Power Systems Integrated to the Central Receiver Power Plants". نشریه مهندسی عمران امیرکبیر, 55, 2, 1402, 281-304. doi: 10.22060/eej.2023.22013.5504
Ghaedi, Amir, Sedaghati, Reza, Mahmoudian, Mehrdad. (1402). 'Well-being Approach of the Power Systems Integrated to the Central Receiver Power Plants', نشریه مهندسی عمران امیرکبیر, 55(2), pp. 281-304. doi: 10.22060/eej.2023.22013.5504
Ghaedi, Amir, Sedaghati, Reza, Mahmoudian, Mehrdad. Well-being Approach of the Power Systems Integrated to the Central Receiver Power Plants. نشریه مهندسی عمران امیرکبیر, 1402; 55(2): 281-304. doi: 10.22060/eej.2023.22013.5504

Well-being Approach of the Power Systems Integrated to the Central Receiver Power Plants

AUT Journal of Electrical Engineering
مقاله 11، دوره 55، شماره 2، 2023، صفحه 281-304    اصل مقاله (2.49 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/eej.2023.22013.5504
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
The solar power tower (central receiver power plant) as one type of concentrated solar thermal power systems can be used to generate electricity in a way similar to the thermal power plants and so, numerous large-scale central receiver power plants have been constructed and connected to the bulk power system to transfer their generated power to the power network. The variation in solar radiation leads the generated power of these power plants to change, too. Thus, the integration of these large-scale solar power towers into the power system results in some challenges that must be addressed. To study the effect of solar power towers on the power system, new techniques must be developed to consider the uncertain nature of these plants. For this purpose, in this paper, to investigate the impact of central receiver power plants on the operation studies of the power system, the well-being approach is proposed. To consider the solar power towers in the operation studies of the power system, a multi-state model is developed for these plants that both variations in the generated power and failure of composed components are taken into account. To evaluate the effectiveness of the proposed technique, the well-being models of two reliability test systems including RBTS and IEEE-RTS are determined and the effect of the central receiver power plant on the operation indices such as health state probability, risk, spinning reserve, peak load carrying capability and increase in peak load carrying capability is investigated.
کلیدواژه‌ها
Solar power tower؛ central receiver power plant؛ well-being approach؛ solar radiation
مراجع
  1. van Stiphout, K. De Vos, G. Deconinck, “The impact of operating reserves on investment planning of renewable power systems,” IEEE Transactions on Power Systems, vol. 32, no. 1, pp. 378-388, 2016.
  2. S. Modarresi, L. Xie, M.C. Campi, S. Garatti, A. Carè, A.A. Thatte, & P.R. Kumar, “Scenario-based economic dispatch with tunable risk levels in high-renewable power systems,” IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 5103-5114, 2018.
  3. Nosair, & F. Bouffard, “Reconstructing operating reserve: Flexibility for sustainable power systems,” IEEE Transactions on Sustainable Energy, vol. 6, no. 4, pp. 1624-1637, 2015.
  4. Suh, D.H. Yoon, Y.S. Cho, & G. Jang, “Flexible frequency operation strategy of power system with high renewable penetration,” IEEE Transactions on Sustainable Energy, 8(1), 192-199, 2016.
  5. Shi, & S.S. Oren, “Stochastic unit commitment with topology control recourse for power systems with large-scale renewable integration,” IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 3315-3324, 2017.
  6. Liu, J. Zhan, C.Y. Chung, & Y. Li, “Day-Ahead Optimal Operation for Multi-Energy Residential Systems With Renewables,” IEEE Transactions on Sustainable Energy, vol. 10, no. 4, pp. 1927-1938, 2018.
  7. Nikmehr, & S. Najafi-Ravadanegh, “Optimal operation of distributed generations in micro-grids under uncertainties in load and renewable power generation using heuristic algorithm,” IET Renewable Power Generation, vol. 9, no. 8, pp. 982-990, 2015.
  8. Wei, F. Liu, & S. Mei, “Real-time dispatchability of bulk power systems with volatile renewable generations,” IEEE Transactions on Sustainable Energy, 6(3), 738-747, 2015.
  9. Lin, “Integrating the first HVDC-based offshore wind power into PJM system—A real project case study,” IEEE Transactions on Industry Applications, vol. 52, no. 3, pp. 1970-1978, 2015.
  10. R. Yang, C.C. Shen, C.C. Wu, & C.N. Lu, “Control Performance Based Dynamic Regulation Reserve Allocation for Renewable Integrations,” IEEE Transactions on Sustainable Energy, vol. 10, no. 3, pp. 1271-1279, 2018.
  11. Shahmoradi, A., and M. Kalantar. "Resource Scheduling in a Smart Grid with Renewable Energy Resources and Plug-In Vehicles by MINLP Method." AUT Journal of Electrical Engineering2 (2015): 39-47.
  12. Nikmehr, Nima, and Sajad Najafi Ravadanegh. "Analysis of Reliability Indices in Next Generation Microgrids Under Uncertainties of Load and Renewable Power Production." AUT Journal of Electrical Engineering1 (2016): 41-51.
  13. Rahmani, R., and A. Fakharian. "A distributed control architecture for autonomous operation of a hybrid AC/DC microgrid system." AUT Journal of Electrical Engineering1 (2018): 25-32.
  14. Hemmatpour, Mohammad Hasan, Ebrahim Zarei, and Mohsen Mohammadian. "Incorporating wind power generation and demand response into security-constrained unit commitment." AUT Journal of Electrical Engineering2 (2018): 141-148.
  15. Eddhibi, Fathia, et al. "A novel mathematical approach for the optical efficiency optimization of solar tower power plant technology." International Journal of Energy Research3 (2022): 2477-2499.
  16. Shatnawi, H., C. W. Lim, and F. B. Ismail. "Solar tower power: the impact of external receiver on optimal performance and energy storage."  J. Eng. Adv. Technol9.2 (2019): 4195-4202.
  17. Behar, Omar, Daniel Sbarbaro, and Luis Morán. "A practical methodology for the design and cost estimation of solar tower power plants." Sustainability20 (2020): 8708.
  18. Belaid, Abdelfetah, et al. "Design optimization of a solar tower power plant heliostat field by considering different heliostat shapes." International Journal of Energy Research14 (2020): 11524-11541.
  19. Sorgulu, Fatih, and Ibrahim Dincer. "Design and analysis of a solar tower power plant integrated with thermal energy storage system for cogeneration." International Journal of Energy Research12 (2019): 6151-6160.
  20. Faye, Kory, Ababacar Thiam, and Mactar Faye. "Optimum Height and Tilt Angle of the Solar Receiver for a 30 kWe Solar Tower Power Plant for the Electricity Production in the Sahelian Zone." International Journal of Photoenergy2021 (2021): 1-14.
  21. Laissaoui, D. Nehari, A. Bouhalassa, M. Hazmoune, S. Lechehab, & A. Touil, “Thermodynamic analysis of combined CSP-MED desalination in Algeria,” In 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC) (pp. 1-6). IEEE, 2015.
  22. Boretti, S. Castelletto, & S. Al-Zubaidy, “Concentrating solar power tower technology: present status and outlook,” Nonlinear Engineering, vol. 8, no. 1, pp. 10-31, 2019.
  23. Billinton, R.N. Allan, “Reliability Evaluation of Power Systems,” 2nd edition. New York, NY, USA and London, U.K.: Plenum, 1994.
  24. L. Cannon, V. D. Jitendra, and J. C. Bezdek, “Efficient Implementation of the Fuzzy c-Means Clustering Algorithms,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 2, pp. 248-255, 1986
  25. Chen, S.A. Ludwig, “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.
  26. Billinton, & S. Jonnavithula, “A test system for teaching overall power system reliability assessment,” IEEE transactions on Power Systems, vol. 11, no. 4, pp. 1670-1676, 1996.
  27. Grigg, P. Wong, P. Albrecht, R. Allan, M. Bhavaraju, R. Billinton, ... & W. Li, “The IEEE reliability test system-1996, A report prepared by the reliability test system task force of the application of probability methods subcommittee,” IEEE Transactions on power systems, vol. 14, no. 3, pp. 1010-1020, 1999.
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