84
Views
1
CrossRef citations to date
0
Altmetric
Articles

An interval type-2 fuzzy stochastic approach for regional-scale electric power system under parameter uncertainty

&
Pages 627-638 | Received 13 Jun 2018, Accepted 26 Mar 2019, Published online: 14 Apr 2019

References

  • Aerts, D., J. Minnen, I. Glorieux, I. Wouters, and F. Descamps. 2014. A method for the identification and modeling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison. Building and Environment 75:67–78. doi:10.1016/j.buildenv.2014.01.021.
  • Cai, Y. P., G. H. Huang, Q. Tan, and Z. F. Yang. 2009. Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment. Renewable Energy 34:1833–47. doi:10.1016/j.renene.2008.11.024.
  • Castillo, O., L. Cervantes, J. Soria, M. Sanchez, and J. R. Castro. 2016. A generalized type-2 fuzzy granular approach with applications to aerospace. Information Sciences 354:165–77. doi:10.1016/j.ins.2016.03.001.
  • Chiao, K. P. 2011. Multiple criteria group decision making with  triangular interval type-2 fuzzy sets. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ ’11), IEEE, Taipei, Taiwan 2575–2582.
  • Emanuel, O. R., M. Patricia, and C. Oscar. 2018. Comparative analysis of noise robustness of type 2 fuzzy logic controllers. Kybernetika 54 (1):175–201.
  • Hu, J., Y. Zhang, X. Chen, and Y. Liu. 2013. Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number. Knowledge-Based Systems 43:21–29. doi:10.1016/j.knosys.2012.11.007.
  • Huang, G. H., and R. D. Moore. 1993. Grey linear programming, its solving approach, and its application to water pollution control. International Journal of Systems Science 24 (1):159–72. doi:10.1080/00207729308949477.
  • Jin, L., G. H. Huang, Y. R. Fan, L. Wang, and T. Wu. 2015. A pseudo-optimal inexact stochastic interval T2 fuzzy sets approach for energy and environmental systems planning under uncertainty: A case study for Xiamen City of China. Applied Energy 138:71–90. doi:10.1016/j.apenergy.2014.10.024.
  • Jin, L., G. H. Huang, L. Wang, and X. Wang. 2013. Robust fully fuzzy programming with a fuzzy set ranking method for environmental systems planning under uncertainty. Environmental Engineering Science 30 (6):280–93. doi:10.1089/ees.2012.0144.
  • Li, Y. F., G. H. Huang, Y. P. Li, Y. Xu, and W. T. Chen. 2010. Regional-scale electric power system planning under uncertainty-A multistage interval-stochastic integer linear programming approach. Energy Policy 38:475–90. doi:10.1016/j.enpol.2009.09.038.
  • Li, Y. P., G. H. Huang, S. L. Nie, X. H. Nie, and I. Maqsood. 2006. An interval parameter two-stage stochastic integer programming model for environmental systems planning under uncertainty. Engineering Optimization 38 (4):461–83. doi:10.1080/03052150600557742.
  • Liu, L., G. H. Huang, G. A. Fuller, A. Chakma, and H. C. Guo. 2000. A dynamic optimization approach for nonrenewable energy resources management under uncertainty. Journal of Petroleum Science and Engineering 26:301–09. doi:10.1016/S0920-4105(00)00044-9.
  • Mavrotas, G., H. Demertzis, A. Meintani, and D. Diakoulaki. 2003. Energy planning in buildings under uncertainty in fuel costs: The case of a hotel unit in Greece. Energy Conversion and Management 44:1303–21. doi:10.1016/S0196-8904(02)00119-X.
  • Mazumdar, M., and L. Chrzan. 1995. Monte Carlo stochastic simulation of electric power generation system production costs under time-dependent constraints. Electric Power Systems Research 35:101–08. doi:10.1016/0378-7796(95)00994-9.
  • Mendel, J. M., R. I. John, and F. Liu. 2006. Interval Type-2 fuzzy logic systems made simple. IEEE Transactions on Fuzzy Systems 14 (6):808–21. doi:10.1109/TFUZZ.2006.879986.
  • Méndez, G., L. Leduc-Lezama, R. Colás, G. Murillo-Perez, J. Ramirez-Cuellar, and J. J. López. 2010. Modelling and control of coiling entry temperature using interval type-2 fuzzy logic systems. Ironmaking & Steelmaking 37 (2):126–34. doi:10.1179/174328109X445624.
  • Nurnberg, R., and W. Romisch. 2002. A two-stage planning model for power scheduling in a hydro-thermal system under uncertainty. Optimization and Engineering 3:355–78. doi:10.1023/A:1021531823935.
  • Qin, J., and X. Liu. 2014. Frank aggregation operators for triangular interval type-2 fuzzy set and its application inmultiple attribute group decision making. Journal of Applied Mathematics 3:1–24.
  • Qui, Y., Yang, H. and Zhang, Q.Y. 2008. Polynomial regression interval-valued fuzzy systems. Soft Computing 12, 137-45.
  • Sadeghi, M., and H. M. Hosseini. 2006. Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs). Energy Policy 34:993–1003. doi:10.1016/j.enpol.2004.09.005.
  • Shrestha, R. M., R. Shrestha, and S. C. Bhattacharya. 1998. Environmental and electricity planning implications of carbon tax and technological constraints in a developing country. Energy Policy 26 (7):527–33. doi:10.1016/S0301-4215(97)00144-4.
  • Srinivasan, A., and G. Geetharamani. 2016. Linear programming problem with interval type 2 fuzzy coefficients and an interpretation for its constraints. Journal of Applied Mathematics 2016:1–11. doi:10.1155/2016/8496812.
  • Tolis, A., A. Doukelis, and I. Tatsiopoulos. 2010. Stochastic interest rates in the analysis of energy investments: Implications on economic performance and sustainability. Applied Energy 87:2479–90. doi:10.1016/j.apenergy.2009.11.033.
  • Wang, L., and L. Jin. 2018. Robust linear programming with IT2 rough coefficients. Journal of Intelligent & Fuzzy Systems 34:1995–2001. doi:10.3233/JIFS-17783.
  • Zadeh, L.A., 1975. Calculus of fuzzy restrictions. Electronics Research Laboratory, University of California, Berkeley.
  • Zhang, Z. M., and S. H. Zhang. 2013. A novel approach to multi attribute group decision making based on trapezoidal interval type-2 fuzzy soft sets. Applied Mathematical Modelling 37:4948–71. doi:10.1016/j.apm.2012.10.006.

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.