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access icon free Impact-increment based decoupled reliability assessment approach for composite generation and transmission systems

  • Author(s): Kai Hou 1 ; Hongjie Jia 1 ; Xue Li 2 ; Xiandong Xu 3 ; Yunfei Mu 1 ; Tao Jiang 2 ; Xiaodan Yu 1
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  • Source: Volume 12, Issue 3, 13 February 2018, p. 586 – 595
    DOI:  10.1049/iet-gtd.2017.0745 , Print ISSN 1751-8687, Online ISSN 1751-8695
© The Institution of Engineering and Technology
Received 11/05/2017, Accepted 17/09/2017, Revised 04/08/2017, Published 21/09/2017

Improving the computational efficiency of reliability assessment is a long-term goal for researchers. Regarding this issue, an impact-increment-based decoupled reliability assessment approach (IID) is proposed in this study. First, a new formulation of reliability indices is derived by decoupling the reliability index of composite systems into two parts: generation adequacy and transmission reliability. Then, an impact-increment-based state enumeration reliability assessment method is implemented to both the parts, which are more efficient than tradition methods. Thereafter, a reduction technique for the higher-order contingency states is developed for the transmission reliability evaluation. With this technique, the number of analysed contingencies can be significantly reduced, which improves the computational speed significantly. Finally, the overall framework of the proposed IID approach is demonstrated. Case studies are performed on the RTS-79, RTS-96 and a provincial system of China. Results indicate that the proposed method has superior performance to the traditional reliability assessment methods in terms of accuracy and computational speed, particularly on large-scale composite systems.

Inspec keywords: power generation reliability; power transmission reliability

Other keywords: transmission systems; reduction technique; higher-order contingency states; reliability assessment methods; impact-increment-based decoupled reliability assessment approach; composite systems reliability index decoupling; generation adequacy; transmission reliability; reliability indices formulation; impact-increment-based state enumeration reliability assessment method; IID; RTS-79; transmission reliability evaluation; composite generation systems; RTS-96; large-scale composite systems

Subjects: Reliability; Power transmission, distribution and supply

References

    1. 1)
      • 22. Grigg, C., Wong, P., Albrecht, R., et al: ‘The IEEE reliability test system – 1996. A report prepared by the reliability test system task force of the application of probability methods subcommittee’, IEEE Trans. Power Syst., 1999, 14, (3), pp. 1010–1020.
    2. 2)
      • 18. Hou, K., Jia, H., Yu, X., et al: ‘An impact increments-based state enumeration reliability assessment approach and its application in transmission systems’. 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, 2016, pp. 1–5.
    3. 3)
      • 20. Zimmerman, R.D., Murillo-Sánchez, C.E., Thomas, R.J.: ‘MATPOWER: steady-state operations, planning and analysis tools for power systems research and education’, IEEE Trans. Power Syst., 2011, 26, (1), pp. 12–19.
    4. 4)
      • 1. Billinton, R., Li, W.: ‘Reliability assessment of electrical power systems using Monte Carlo methods’ (Springer, 1994).
    5. 5)
      • 14. Samaan, N., Singh, C.: ‘Assessment of the annual frequency and duration indices in composite system reliability using genetic algorithms’. Power Engineering Society General Meeting, 2003, vol. 2, 2003, p. 697.
    6. 6)
      • 15. Wang, L., Singh, C.: ‘Population-based intelligent search in reliability evaluation of generation systems with wind power penetration’, IEEE Electr. Power Syst. Res., 2008, 23, (3), pp. 1336–1345.
    7. 7)
      • 10. Fu, C., Bose, A.: ‘Contingency ranking based on severity indices in dynamic security analysis’, IEEE Trans. Power Syst., 1999, 14, (3), pp. 980–985.
    8. 8)
      • 7. Zhao, L., Ma, J., Lei, Z. ‘Power system operation risk assessment based on possibility prioritization search strategy of cascading outage’. Fifth Int. Conf. Critical Infrastructure (CRIS), 2010, pp. 1–10.
    9. 9)
      • 12. Billinton, R., Zhang, W.: ‘State extension for adequacy evaluation of composite power systems-applications’, IEEE Trans. Power Syst., 2000, 15, (1), pp. 427–432.
    10. 10)
      • 3. Singh, C., Mitra, J.: ‘Composite system reliability evaluation using state space pruning’, IEEE Trans. Power Syst., 1997, 12, (1), pp. 471–479.
    11. 11)
      • 17. Hou, K., Jia, H., Yu, X., et al: ‘Composite generation and transmission system reliability assessment using impact increment-based state enumeration method’. 2016 Int. Conf. Probabilistic Methods Applied to Power Systems (PMAPS), Beijing, 2016, pp. 1–6.
    12. 12)
      • 19. Nahman, J.M.: ‘Modeling simultaneous outages for bulk-power system reliability-analysis’, IEEE Trans. Reliab., 1985, 4, (3), pp. 554–559.
    13. 13)
      • 11. Jia, Y., Wang, P., Han, X., et al: ‘A fast contingency screening technique for generation system reliability evaluation’, IEEE Trans. Power Syst., 2013, 28, (4), pp. 4127–4133.
    14. 14)
      • 13. He, J., Sun, Y., Kirschen, D.S., et al: ‘State-space partitioning method for composite power system reliability assessment’, IET Gener. Transm. Distrib., 2010, 4, (7), pp. 780–792.
    15. 15)
      • 4. Oliveira, G.C., Pereira, M.V.F., Cunha, S.H.F.: ‘A technique for reducing computational effort in Monte-Carlo based composite reliability evaluation’, IEEE Trans. Power Syst., 1989, 4, (4), pp. 1309–1315.
    16. 16)
      • 5. Hua, B., Bie, Z., Au, S.K., et al: ‘Extracting rare failure events in composite system reliability evaluation via subset simulation’, IEEE Trans. Power Syst., 2015, 30, (2), pp. 753–762.
    17. 17)
      • 16. Liu, Y., Singh, C.: ‘Reliability evaluation of composite power systems using Markov cut set approach’, IEEE Trans. Power Syst., 2010, 25, (2), pp. 777–785.
    18. 18)
      • 8. Hou, K., Jia, H., Xu, X., et al: ‘A continuous time markov chain based sequential analytical approach for composite power system reliability assessment’, IEEE Trans. Power Syst., 2016, 31, (1), pp. 738–748.
    19. 19)
      • 9. Liu, H., Sun, Y., Wang, P., et al: ‘A novel state selection technique for power system reliability evaluation’, IEEE Electr. Power Syst. Res., 2008, 78, (6), pp. 1019–1027.
    20. 20)
      • 6. González-Fernández, R.A., da Silva, A.M.L., Resende, L.C., et al: ‘Composite systems reliability evaluation based on Monte Carlo simulation and cross-entropy methods’, IEEE Trans. Power Syst., 2013, 28, (4), pp. 4598–4606.
    21. 21)
      • 2. Li, W.: ‘Risk assessment of power systems: models, methods, and applications’ (John Wiley & Sons, 2014).
    22. 22)
      • 21. Subcommittee, P.M.: ‘IEEE reliability test system’, IEEE Trans. Power Appl. Syst., 1979, PAS-98, (6), pp. 2047–2054.
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