63
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Eigenvector dimension-reduction method for reliability analysis of power systems under the time-dependent load uncertainty

& ORCID Icon
Pages 124-132 | Received 08 Jul 2019, Accepted 16 Dec 2019, Published online: 03 Jan 2020

References

  • Al-Nujaimi, A., Abido, M. A., & Al-Muhaini, M. (2018). Distribution power system reliability assessment considering cold load pickup events. IEEE Transactions on Power Systems, 33(4), 4197–4206.
  • Amirioun, M. H., Aminifar, F., Lesani, H., & Shahidehpour, M. (2019). Metrics and quantitative framework for assessing microgrid resilience against windstorms. International Journal of Electrical Power & Energy Systems, 104, 716–723.
  • Bertling, L., Allan, R., & Eriksson, R. (2005). A reliability-centered asset maintenance method for assessing the impact of maintenance in power distribution systems. IEEE Transactions on Power Systems, 20(1), 75–82.
  • Billinton, R., & Allan, R. N. (1990). Basic power system reliability concepts. Reliability Engineering & System Safety, 27(3), 365–384.
  • Billinton, R., & Billinton, J. (1989). Distribution system reliability indices. IEEE Transactions on Power Delivery, 4(1), 561–568.
  • Bjarnadottir, S., Li, Y., Reynisson, O., & Stewart, M. G. (2018). Reliability-based assessment of climatic adaptation for the increased resiliency of power distribution systems subjected to hurricanes. Sustainable and Resilient Infrastructure, 3(1), 36–48.
  • Cheng, L., Chang, Y., Lin, J., & Singh, C. (2013). Power system reliability assessment with electric vehicle integration using battery exchange mode. IEEE Transactions on Sustainable Energy, 4(4), 1034–1042.
  • Christie, R. (1993). 118 bus power flow test case.
  • Didier, M., Broccardo, M., Esposito, S., & Stojadinovic, B. (2018). A compositional demand/supply framework to quantify the resilience of civil infrastructure systems (Re-CoDeS). Sustainable and Resilient Infrastructure, 3(2), 86–102.
  • Heylen, E., Labeeuw, W., Deconinck, G., & Van Hertem, D. (2016). Framework for evaluating and comparing performance of power system reliability criteria. IEEE Transactions on Power Systems, 31(6), 5153–5162.
  • Hu, C., Youn, B. D., & Wang, P. (2019). Engineering design under uncertainty and health prognostics. New York, NY: Springer.
  • Hu, Z., & Du, X. (2015). Mixed efficient global optimization for time-dependent reliability analysis. Journal of Mechanical Design, 137(5), 051401.
  • Hussain, A., Arif, S. M., Aslam, M., & Shah, S. D. A. (2017). Optimal siting and sizing of tri-generation equipment for developing an autonomous community microgrid considering uncertainties. Sustainable Cities and Society, 32, 318–330.
  • Liu, D., Pang, J., Zhou, J., Peng, Y., & Pecht, M. (2013). Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression. Microelectronics Reliability, 53(6), 832–839.
  • Liu, Y., & Singh, C. (2010). A methodology for evaluation of hurricane impact on composite power system reliability. IEEE Transactions on Power Systems, 26(1), 145–152.
  • Mori, Y., & Ellingwood, B. R. (1993). Time-dependent system reliability analysis by adaptive importance sampling. Structural Safety, 12(1), 59–73.
  • Nikmehr, N., Najafi-Ravadanegh, S., & Khodaei, A. (2017). Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty. Applied Energy, 198, 267–279.
  • Praks, P., Kopustinskas, V., & Masera, M. (2017). Monte-Carlo-based reliability and vulnerability assessment of a natural gas transmission system due to random network component failures. Sustainable and Resilient Infrastructure, 2(3), 97–107.
  • Prempraneerach, P., Hover, F. S., Triantafyllou, M. S., & Karniadakis, G. E. (2010). Uncertainty quantification in simulations of power systems: Multi-element polynomial chaos methods. Reliability Engineering & System Safety, 95(6), 632–646.
  • Rahman, S., & Xu, H. (2004). A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics. Probabilistic Engineering Mechanics, 19(4), 393–408.
  • Rasmussen, C. E. (2003, February). Gaussian processes in machine learning. In O. Bousquet, U. von Luxburg & G. Rätsch (Eds.), Summer School on machine learning (63–71). Berlin, Heidelberg: Springer.
  • Sharma, N., Tabandeh, A., & Gardoni, P. (2018). Resilience analysis: A mathematical formulation to model resilience of engineering systems. Sustainable and Resilient Infrastructure, 3(2), 49–67.
  • Singh, C., & Kim, Y. (1988). An efficient technique for reliability analysis of power systems including time dependent sources. IEEE Transactions on Power Systems, 3(3), 1090–1096.
  • Wang, P., Wang, Z., & Almaktoom, A. T. (2014). Dynamic reliability-based robust design optimization with time-variant probabilistic constraints. Engineering Optimization, 46(6), 784–809.
  • Wu, W., Wang, K., Li, G., Jiang, X., Feng, L., & Crow, M. L. (2016). A multivariate dimension-reduction method for probabilistic power flow calculation. Electric Power Systems Research, 141, 272–280.
  • Xi, Z., & Youn, B. D. (2012). Predictive carbon nanotube models using the eigenvector dimension reduction (EDR) method. Journal of Mechanical Science and Technology, 26(4), 1089–1097.
  • Xi, Z., Youn, B. D., Jung, B. C., & Yoon, J. T. (2015). Random field modeling with insufficient field data for probability analysis and design. Structural and Multidisciplinary Optimization, 51(3), 599–611.
  • Yan, J., Li, K., Bai, E., Yang, Z., & Foley, A. (2016). Time series wind power forecasting based on variant Gaussian Process and TLBO. Neurocomputing, 189, 135–144.
  • Youn, B. D., & Wang, P. (2008). Bayesian reliability-based design optimization using eigenvector dimension reduction (EDR) method. Structural and Multidisciplinary Optimization, 36(2), 107–123.
  • Youn, B. D., & Xi, Z. (2009). Reliability-based robust design optimization using the eigenvector dimension reduction (EDR) method. Structural and Multidisciplinary Optimization, 37(5), 475–492.
  • Youn, B. D., Xi, Z., & Wang, P. (2008). Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis. Structural and Multidisciplinary Optimization, 37(1), 13–28.
  • Zhou, B., Lei, Y., Li, C., Fang, B., Wu, Q., Li, L., & Li, Z. (2019). Electrical LeaderRank method for node importance evaluation of power grids considering uncertainties of renewable energy. International Journal of Electrical Power & Energy Systems, 106, 45–55.
  • Zimmerman, R. D., Murillo-Sánchez, C. E., & Thomas, R. J. (2010). MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education. IEEE Transactions on Power Systems, 26(1), 12–19.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.