Wind farm incorporation in reliability assessment of power systems from the viewpoint of reactive power management

Document Type : Original Article

Authors

1 Department of Power Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran

2 Faculty of electrical and computer engineering, University of Birjand, Birjand, Iran

Abstract

The development and utilization of wind power to meet the electrical demand has recently received significant consideration. Additionally, one of the substantial roles of transmission system operators is to balance reactive power within a network in the sense that with the development of wind energy, wind turbines are expected to contribute towards reactive power generation. So far, there is not a wide range of attention being paid to reactive power in reliability evaluation including wind farms contribution. In this article, wind farms with several identical wind turbines are incorporated in reliability assessment while considering reactive power shortage. Fuzzy C-Means clustering method is used for the output power of wind turbines for analyzing power system reliability with wind farms integration. The application of this concept has been also utilized in developing multistep load levels in the illustrated load buses. Reactive power deficiency and the relevant voltage violations caused by the failure of reactive power generations are studied in this article. Load shedding and power injection techniques are employed to determine possible reactive power shortage required for alleviating network violations with and without wind power integration. Composite system reliability analysis in the existence of wind farms is implemented to assess indices affiliated with curtailed energy at various load points. The RBTS 6-bus system has been proportionally modified and studied to demonstrate the procedure. The results indicate the importance of wind power integration in improving both active and reactive reliability indices which in turn provide system planners with long-range planning for system development.

Keywords

Main Subjects

References

[1] T. Ackermann and R. Kuwahata, "Lessons Learned From International Wind Integration Studies," 2011.
[2] A. Keane, M. Milligan, C. J. Dent, B. Hasche, C. D’Annunzio, K. Dragoon, H. Holttinen, N. Samaan, L. Soder, and M. O’Malley, "Capacity value of wind power," IEEE Transactions on Power Systems, vol. 26, no. 2, pp. 564–572, 2011.
[3] R. Billinton and Y. Gao, "Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy," IEEE Transactions on Energy Conversion, vol. 23, no. 1, pp. 163–170, 2008.
[4] A. Ghaedi, A Abbaspour, M. Fotuhi-Firuzabad, and M. Moeini-Aghtaie, "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, 2014.
[5] F. Chen, F. Li, W. Feng, Z. Wei, H. Cui, H. Liu, "Reliability assessment method of composite power system with wind farms and its application in capacity credit evaluation of wind farms," Electric Power Systems Research, vol. 166, pp. 73–82, 2019.  
[6] A. P. Leite, C. L. T. Borges, and D. M. Falcão, "Probabilistic Wind Farms Generation Model for Reliability Studies Applied to Brazilian Sites," IEEE Transactions on Power Systems, vol. 21, no. 4, pp. 1493–1501, 2006.
[7] I. El-Samahy, K. Bhattacharya, C. Caizares, M. F. Anjos, and J. Pan, "A procurement market model for reactive power services considering system security," IEEE Transactions on Power Systems, vol. 23, no. 1, pp. 137–149, 2008.
[8] A. R. Karami-Horestani, M. E. Hamedani Golshan, H.Monsef, "Expected security constrained reactive power planning," IET Generation, Transmission & Distribution, vol. 10, no. 10, pp. 2306-2315, 2016.  
[9] F. Dong, B. H. Chowdhury, M. L. Crow, and L. Acar, "Improving voltage stability by reactive power reserve management," IEEE Transactions on Power Systems, vol. 20, no. 1, pp. 338–345, 2005.
[10] A. Rajabi and H. Monsef, "Valuation of dynamic reactive power based on probability aspects of power system," In 2007 Proceeding of the 42nd International Universities Power Engineering Conference, pp. 1169–1174, 2007.
[11] R. N. Allan, R. Billinton, A. M. Breipohl, and C. H. Grigg, "Bibliography on the application of probability methods in power system reliability evaluation," IEEE Transactions on Power Systems, vol. 14, no. 1, pp. 51–57, 1999.
[12] R. Billinton, M. Fotuhi-Firuzabad, and L. Bertling, "Bibliography on the application of probability methods in power system reliability evaluation 1996–1999," IEEE Transactions on Power Systems, vol. 16, no. 4, pp. 595–602, 2001.
[13] P. L. Noferi and L. Paris, "Effects of voltage and reactive power constraints on power system reliability," IEEE Transactions on Power Apparatus and Systems, vol. 94, no. 2, pp. 482–490, 1975.
[14] W. Qin, P. Wang, "Reactive power aspects in reliability assessment of power systems," IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 85–92, 2011.
[15] S. Engelhardt, L. Erlich, C. Feltes, J.  Kretschmann, and F. Shewarega, "Reactive power capability of wind turbines based on doubly fed induction generators," IEEE Transactions on Energy Conversion, vol. 26, pp. 364–372, 2011.
[16] M. Wilch, V.S. Pappala, S.N. Singh, I. Erlich, "Reactive power generation by DFIG based wind farms with ac grid connection," In 2007 IEEE Lausanne Power Tech, pp. 626–632, 2007.
[17] "North Dakota Agriculture Weather Network," available online:  http://ndawn.ndsu.nodak.edu/wind-speeds.html
[18] J. Wen, Y. Zheng, and F. Donghan, "A review on reliability assessment for wind power," Renewable and Sustainable Energy Reviews, vol. 13, no. 9, pp. 2485–2494, 2009.
[19] "Nordex N90/2550 wind turbine specification" available online: http://www.nordex-online.com/en/produkte-service/wind-turbines/n90-25-mw.html
[20] H. C. Huang, Y. Y. Chuang, and C. S. Chen, "Multiple kernel fuzzy clustering," IEEE Transactions on Fuzzy System, vol. 20, no. 1, pp. 120–134, 2012.
[21] R. L. Cannon, V. D. Jitendra, and J. C. Bezdek, "Efficient implementation of the fuzzy c-means clustering algorithms," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 8, no. 2, pp. 248–255, 1986.
[22] S. Miao, K. Xie, H. Yang, H. M. Tai, B. Hu, "A Markovian wind farm generation model and its application to adequacy assessment," Renewable Energy, vol. 113, pp. 1447–1485, 2017.
[23] A. Heshmati, H. R. Najafi, M. R. Aghaebrahimi, and M. Mehdizadeh, "Wind farm modeling for reliability assessment from the viewpoint of interconnected systems," Electric Power Components & Systems, vol. 40, no. 3, pp. 257–272, 2012.
[24] A. S. Dobakhshari, and M. Fotuhi-Firuzabad, "A reliability model of large wind farms for power system adequacy studies," IEEE Transactions on Power Systems, vol. 4, no. 3, pp. 792–801, 2009.
[25] J. Zhu, Y. Zhang, "A Frequency and Duration Method for adequacy assessment of generation systems with wind farms," IEEE Transactions on Power Systems, vol. 34, no. 2, pp. 1151–1160, 2019.
[26] R. Billinton and R. Allan, "Reliability evaluation of power systems," Plenum Press, New York, 2nd Edition, 1996.
[27] R. Billinton, W. Wangdee, "Reliability-based transmission reinforcement planning associated with large-scale wind farms," IEEE Transactions on Power Systems, vol. 22, no. 1, pp. 34–41, 2007.
[28] H. Abunima, J. Teh, C. M. Lai, and H. J. Jabir, "A systematic review of reliability studies on composite power systems: A coherent taxonomy motivations, open challenges, recommendations, and new research directions," Energies, vol. 11, no. 9, pp. 2417–2454, 2018.
[29] W. Li,"Risk assessment of power systems: models, methods, and applications," IEEE Press Series on Power Engineering, 2nd Edition, 2014.
[30] C. W. Taylor, "Power System Voltage Stability," New York, McGraw-Hill, 1994.
[31] C. M. Affonso, L. C. P. Da Silva, F. G. M. Lima, and S. Soares, "MW and MVar management on supply and demand side for meeting voltage stability margin criteria," IEEE Transactions on Power Systems,  vol. 19, no. 3, pp. 1538–1545, 2004.
[32] H. Liu, Y. Sun, L. Cheng, and P. Wang, "Online short-term reliability evaluation using fast sorting technique," IET Generation, Transmission & Distribution, vol. 2, no. 1, pp. 139–148, 2008.
[33] G. C. Ejebe, H. P. Van Meeteren, and B. F. Wollenberg, "Fast contingency screening and evaluation for voltage security analysis IEEE Transactions on Power Systems, vol. 3, no. 4, pp. 1582–1590, 1988.
[34] R. Billinton R, S. Kumar, N. Chowdhury, K. Chu, K. Debnath, L. Goel et al, "A reliability test system for education purposes – basic data," IEEE Transactions on Power Systems, vol. 4, no. 3, pp. 1238–44, 1989.
Journal of Energy Management and Technology
Volume 4, Issue 4
December 2020
Pages 57-67

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History

  • Receive Date: 23 October 2019
  • Revise Date: 28 December 2019
  • Accept Date: 16 March 2020

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