[1] H. Aalami, M. P. Moghaddam, and G. Yousefi, “Demand response modeling considering interruptible/curtailable loads and capacity market programs,” Appl. Energy, vol. 87, pp. 243-250, 2010.
[2] A. Hajebrahimi, A. Abdollahi, and M. Rashidinejad, “Probabilistic multiobjective transmission expansion planning incorporating demand response resources and large-scale distant wind farms,” IEEE Syst. J., vol. 11, pp. 1170-1181, 2017.
[3] A. Yousefi, T. Nguyen, H. Zareipour, and O. Malik, “Congestion management using demand response and FACTS devices,” Int. J. Electr. Energy Syst., vol. 37, pp. 78-85, 2012.
[4] [C. Bustos, E. Sauma, S. de la Torre, J. Aguado, J. Contreras, and D. Pozo, “Energy storage and transmission expansion planning: substitutes or complements?,” IET Gener. Transm. Distrib., 2017.
[5] Y. Li, J. Wang, and T. Ding, “Clustering-based chance-constrained transmission expansion planning using an improved benders decomposition algorithm,” IET Gener. Transm. Distrib., 2017.
[6] H. Gharibpour, F. Aminifar, and M. H. Bashi, “Short-circuit-constrained transmission expansion planning with bus splitting flexibility,” IET Gener. Transm. Distrib., vol. 12, pp. 217-226, 2017.
[7] Y. Lei, P. Zhang, K. Hou, H. Jia, Y. Mu, and B. Sui, “An incremental reliability assessment approach for transmission expansion planning,” IEEE Trans. Power Syst., vol. 33, pp. 2597-2609, 2018.
[8] H. Simorgh, H. D. Mojarrad, H. Razmi, and G. B. Gharehpetian, “Cost-based optimal siting and sizing of electric vehicle charging stations considering demand response programs,” IET Gener. Transm. Distrib., vol. 12, no. 8, pp. 1712-1720, 2017.
[9] J. Wu, B. Zhang, and Y. Jiang, “Optimal day-ahead demand response contract for congestion management in the deregulated power market considering wind power,” IET Gener. Transm. Distrib., vol. 12, pp. 917-926, 2017.
[10] M. Shadnam Zarbil and M. Sabahi, “High performance Cuk converter considering non-linear inductors for photovoltaic system applications,” J. Oper. Autom. Power Eng., vol. 3, pp. 158-166, 2015.
[11] M. Hejri, H. Mokhtari, M. R. Azizian, M. Ghandhari, and L. Soder, “On the parameter extraction of a five-parameter double-diode model of photovoltaic cells and modules,” IEEE J. Photovoltaics, vol. 4, pp. 915-923, 2014.
[12] M. Alsayed, M. Cacciato, G. Scarcella, and G. Scelba, “Design of hybrid power generation systems based on multi criteria decision analysis,” Solar Energy, vol. 105, pp. 548-560, 2014.
[13] C. Rathore and R. Roy, “Impact of wind uncertainty, plug-in-electric vehicles and demand response program on transmission network expansion planning,” Int. J. Electr. Power. Energy Syst., vol. 75, pp. 59-73, 2016.
[14] C. Li, Z. Dong, G. Chen, F. Luo, and J. Liu, “Flexible transmission expansion planning associated with large-scale wind farms integration considering demand response,” IET Gener. Transm. Distrib., vol. 9, pp. 2276-2283, 2015.
[15] H. M Samakoosh, M. Jafari-Nokandi, and A. Sheikholeslami, “Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages,” J. Oper. Autom. Power Eng., vol. 6, pp. 50-60, 2018.
[16] Z. Xu and H. Liao, “Intuitionistic fuzzy analytic hierarchy process,” IEEE Trans. Fuzzy Syst., vol. 22, pp. 749-761, 2014.
[17] C. A. C. Coello, G. B. Lamont, and D. A. V. Veldhuizen, “Evolutionary algorithms for solving multi-objective problems,” Springer 2007.
[18] E. Rashedi, H. Nezamabadi-Pour, and S. Saryazdi, “Filter modeling using gravitational search algorithm,” Eng. Appl. Artif. Intell., vol. 24, pp. 117-122, 2011.