[1] A. Zakariazadeh, S. Jadid, P. Siano,Multi-objective scheduling of electric vehicles in smart distribution system, Energy Conversion and Management,Vol 79, pp43- 53, 2014.
[2] Y. Zhou, A. Ravey and M.C. Péra, A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles, 2019.
[3] U. Cetinkaya, R. Bayindir and S. Ayik, ”Ancillary Services Using Battery Energy Systems and Demand Response”, 2021 9th International Conference on Smart Grid (icSmartGrid), pp. 212-215, 29 June-1 July 2021.
[4] F. Ayadi, I. Colak, I. Garip and H. I. Bulbul, ”Targets of Countries in Renewable Energy”, 2020 9th International Conference on Renewable Energy Research and Application (ICRERA), pp. 394-398, 27–30 Sept.2020.
[5] TU Diam, X Wang, K Cowan, T Shott. Technology roadmap for smart electric vehicle-to-grid (V2G) of residential chargers. Journal of Innovation and Entrepreneurship 2016; 5(15):1-13.
[6] H Tayarani, H Jahangir, R Nadafianshahamabadi, M Aliakbar Golkar, A Ahmadian, A Elkamel. Optimal Charging of Plug-In Electric Vehicle: Considering Travel Behavior Uncertainties and Battery Degradation. Applied Sciences. 2019; 9(16):3420.
[7] F Gianluca, G Tarquini, L Pasquali, L AnniballiDinesto. Impact of V2G/G2V Technologies on Distributed Generation Systems. IEEE 2014;1677-82.
[8] M. Akil, E. Dokur and R. Bayindir, ”Impact of Electric Vehicle Charging Profiles in Data-Driven Framework on Distribution Network”, 2021 9th International Conference on Smart Grid (icSmartGrid), pp. 220-225, 29 June-1 July 2021.
[9] M. S. Estrice, G. Sharma, K. T. Akindeji and I. E. Davidson, ”Frequency Regulation Studies of Interconnected PV Thermal Power System”, 2020 International SAUPEC/RobMech/PRASA Conference, pp. 1-5, 29–31.
[10] K Thirugnanam, H Saini, P Kumar. Mathematical Modeling of Li-Ion Battery for Charge/Discharge Rate and Capacity Fading Characteristics using Genetic Algorithm Approach. IEEE ,2019.
[11] J Saarenpää, M Kolehmainen, H Niska. Geodemographic analysis and estimation of early plug-in hybrid electric vehicle adoption. Appl Energy;107:456–64, 2013.
[12] N. Z. Xu, K. W. Chan, C. Y. Chung and M. Niu, ”Enhancing adequacy of isolated systems with electric vehicle-based emergency strategy”, IEEE Trans. Intell. Transp. Syst., vol. 21, no. 8, pp. 3469-3475, Aug. 2020.
[13] K Qian, Z Hou, J Liang, R Liu, D Sun. Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis. Applied Sciences. 2021.
[14] Shojaabadi, S., Abapour, S., Abapour, M. and Nahavandi, A, Optimal planning of plug-in hybrid electric vehicle charging station in distribution network considering demand response programs and uncertainties. IET Gener. Transm. Distrib., 10: 3330-3340.2016.
[15] S. Wang, Z. Y. Dong, F. Luo, K. Meng, and Y. Zhang, “Stochastic collaborative planning of electric vehicle charging stations and power distribution system,” IEEE Transactions on Industrial Informatics, vol. 14, pp. 321-331, 2018.
[16] M. O. A. Kader, K. T. Akindeji and G. Sharma, ”A Novel Solution for Solving the Frequency Regulation Problem of Renewable Interlinked Power System Using Fusion of AI”, Energies, vol. 15, no. 9, pp. 3376, 2022.
[17] S. Vadi, F. B. Gurbuz, S. Sagiroglu and R. Bayindir, ”2021 9th International Conference on Smart Grid (icSmartGrid)”, Optimization of PI Based Buck-Boost Converter by Particle Swarm Optimization Algorithm, pp. 295-301, 2021.
[18] H.-C. Liu, M. Yang, M. Zhou, and G. Tian, “An integrated multi-criteria decision making approach to location planning of electric vehicle charging stations,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, pp. 362-373, 2019.
[19] S. N. Jahromi, A. Askarzadeh, and A. Abdollahi, “Modelling probabilistic transmission expansion planning in the presence of plug-in electric vehicles uncertainty by multi-state Markov model,” IET Generation, Transmission and Distribution, vol. 11, pp. 1716-1725, 2018.
[20] M. A. El-Dabah, S. Kamel, M. Khamies, H. Shahinzadeh and G. B. Gharehpetian, ”Artificial Gorilla Troops Optimizer for Optimum Tuning of TID Based Power System Stabilizer”, 2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), pp. 1-5, 2–4, 2022.
[21] Y. Li, Z. Yang, D. Zhao, H. Lei, B. Cui and S. Li, ”Incorporating energy storage and user experience in isolated microgrid dispatch using a multiobjective model”, IET Renewable Power Generation, vol. 13, no. 6, pp. 973-981, 2019.
[22] R.-C. Leou, C.-L. Su and C.-N. Lu, ”Stochastic analyses of electric vehicle charging impacts on distribution network”, IEEE Transactions on Power Systems, vol. 29, no. 3, pp. 1055-1063, 2013.
[23] V. Miranda, J. V Ranito, and L. M. Proenca, “Genetic algorithms in optimal multistage distribution network planning,” IEEE Trans. Power Syst., vol. 9, no. 4, pp. 1927–1933, 1994.
[24] Katoch, S., Chauhan, S.S. Kumar, V. A review on genetic algorithm: past, present, and future. Multimed Tools Appl 80, 8091–8126 2021.
[25] Poli, R., Kennedy, J. Blackwell, T. Particle swarm optimization. Swarm Intell 1, 33–57 ,2007. م دی ری [26] Kaveh, A., Bakhshpoori, T. Imperialist Competitive Algorithm. In: Metaheuristics: Outlines, MATLAB Codes and Examples. Springer, Cham,2019.
[27] Castillo, O., Ochoa, P., Soria, J. Differential Evolution Algorithm. In: Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control. SpringerBriefs in Applied Sciences and Technology, 2021.
[28] M.Dorigo, G.D. Caro and L.M.Gambardella, “PARETO for Discrete Optimization”, Artificial Life,Vlo.5, No.3, PP. 137-172,1999.
[29] R.E.Bellman, L.A. Zadeh, “Decision-making in a fuzzy environment,” Manage Sci,vol.17,No.4, pp.141– 64,1970.
)