- صنعت برق ایران (1396). ناشر: شرکت توانیر
- Baringo, L., & Conejo, AJ. (2012). Wind power investment: A benders decomposition approach. IEEE Transaction on Power Systems, 27(1), 433–441.
- Beard, L. M., Cardell, J. B., Dobson, I., Galvan, F., Hawkins, D., Jewell, W, & Tylavsky, D. J. (2010). Key technical challenges for the electric power industry and climate change. IEEE Transactions on Energy Conversion, 25(2), 465-473.
- Betancourt-Torcat, A., & Almansoori, A. (2015). Design multi-period optimization model for the electricity sector under uncertainty – a case study of the Emirate of Abu Dhabi. Energy Conversation Management, 100, 177–90.
- El-Khattam, W., Hegazy, YG., & Salama, MMA. (2005). An integrated distributed generation optimization model for distribution system planning. IEEE Transaction on Power Systems, 20(2):1158–65.
- Franco, J. F., Rider, M. J., & Romero, R. (2014). A mixed-integer quadratically-constrained programming model for the distribution system expansion planning. Electrical Power and Energy System, 62, 265–72.
- Fu, Q., Li, M., Singh, V., Ma, M., & Liu, X. (2017). An intuitionistic fuzzy multi objective non-linear programming model for sustainable irrigation water allocation under the combination of dry and wet conditions. Journal of Hydrology, 555, 80–94.
- Hinojosa, V, & Velásquez, J. (2016). Improving the mathematical formulation of security-constrained generation capacity expansion planning using power transmission distribution factors and line outage distribution factors, Electric Power Systems Research. 140, 391–400.
- Huang, G.H., Zhang, X.Y., Zhu, H., & Li, Y.P. (2017). A fuzzy-stochastic power system planning model: Reflection of dual objectives and dual uncertainties. Energy, 123, 664-676.
- Jornada, D., & Leon, V. J. (2016). Robustness methodology to aid multiobjective decision making in the electricity generation capacity expansion problem to minimize cost and water withdrawal. Applied energy, 162, 1089-1108.
- Jirutitijaroen, P., & Singh, C. (2008). Reliability constrained multi-area adequacy planning using stochastic programming with sample-average approximations. IEEE Transaction on Power Systems, 23(2):504–13.
- Iran electric power industry (2017). Publisher: Tavanir holding company (In Persian)
- Kheawhom, S., & Kittisupakorn, P. (2005). Multi-objective design space exploration under uncertainty. In: European symposium on computer-aided process engineering-15, 38th European symposium of the working party on computer aided process engineering. Computer Aided Chemical Engineering, 20, 145–50.
- Klein, G., Moskowitz, H., & Ravindran, A. (1990). Interactive multi-objective optimization under uncertainty. Management Science, 36(1), 58–75.
- Lai, Y. J. & Hwang, C. L. (1994). Fuzzy Multiple Objective Decision Making. Springer, New York.
- Lu, Z., Qi, J., Wen, B., & Li, X. (2016). A dynamic model for generation expansion planning based on Conditional Value-at-Risk theory under Low-Carbon Economy. Electric Power Systems Research, 141, 363–371
- Meza, J. L. C., Yildirim, M. B., & Masud, A. S. (2007). A model for the multi period multi objective power generation expansion problem. IEEE Transaction on Power Systems, 22(2), 871–8.
- Monsef, H., Bagheri, A., & lesani, H. (2015). Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions. Electrical Power and Energy Systems, 73, 56-70.
- Oree, V., Hasen, S.Z.S., & Fleming, P.J. (2017). Generation expansion planning optimization with renewable energy integration: A review. Renewable and Sustainable Energy Reviews, 69, 790–803.
- Osmani, A. and Zhang, J. (2014). Optimal grid design and logistic planning for wind and biomass based renewable electricity supply chains under uncertainties. Energy, 70, 514-528.
- Park, H., & Baldick, R. (2016). Stochastic generation capacity expansion planning reducing greenhouse gas emissions. IEEE Transaction on Power Systems, 30(2), 1026–1034.
- Pineda, S., Morales, J., Ding, Y., & Ostergaard, J. (2014). Impact of equipment failures and wind correlation on generation expansion planning. Electric Power Systems Research, 116, 451–458.
- Pinho, J., Resende, J., & Soares, I. (2018). Capacity investment in electricity markets under supply and demand uncertainty. Energy, 150, 1006-1017.
- Rani, D., Gulati, T. R., & Garg, H. (2016). Multi-objective non-linear programming problem in intuitionistic fuzzy environment: Optimistic and pessimistic view point. Expert Systems with Applications, 64, 228-238.
- Sabio, N., Pozo, C., Guillen-Gosabez, G., Jimenez, L., Karuppiah, R., Vasudevan, V., Sawaya, N, & Farrell, J. T. (2014). Multi-objective optimization under uncertainty of the economic and life-cycle environmental performance of industrial processes. AIChE Journal, 60(6), 2098–2121.
- Sadeghi, H., Abdollahi, A., & Rashidinejad, M. (2015). Evaluating the impact of FIT financial burden on social welfare in renewable expansion planning. Renewable Energy, 75, 199-209.
- Samper, M.E., Vargas, A, & Rivera, S. (2008). Fuzzy Assessment of Electricity Generation Costs Applied to Distributed Generation. Comparison with Retail Electricity Supply Costs, supported by CONICE, in Argentina.
- Statistical Review of World Energy. (2018). http://www.bp.com/statistical review.
- Tekiner, H., Coit, D., Felder, F. (2012). Electric power system generation expansion plans considering the impact of smart grid technologies. International Journal Electric Power and Energy System, 42, 229–239.
- Tong, LI., Saminathan, R. & Chang, CW. (2016). Uncertainty assessment of non-normal emission estimates using non-parametric bootstrap confidence intervals. Journal Environmental of Informatics, 28(1), 61-70.
- Wu, Y. K, & Guu, S. M. (2001). A compromise model for solving fuzzy multiple objective linear programming problems. Journal of the Chinese Institute of Industrial Engineers, 18(5), 87-93.
- Zhang, Y.M. et al., (2009). Inexact de Novo programming for water resources planning. European Journal of Operational Research, 199, 531–541.
- Zimmermann, HJ. (2001). Fuzzy set theory and its applications. Springer Science & Business Media.
- United Nations. Dept. of Economic and Social Affairs (1972). Electricity Costs and Tariffs: A General Study. Publisher Department Economic and Social Affair.
|