[1] Rahnama, A., Shayeghi, H., Dejamkhooy, A., & Bizon, N. (2022). A cost-technical profit-sharing approach for optimal energy management of a multi-microgrid distribution system.
Energy,
261, 125057.
https://doi.org/10.1016/j.energy.2022.125057
[2] Ghahramani, M., Nazari-Heris, M., Zare, K., & Mohammadi-Ivatloo, B. (2019). Energy and reserve management of a smart distribution system by incorporating responsive-loads /battery/wind turbines considering uncertain parameters.
Energy,
183, 205-219.
http s://doi.org/10.1016/j.energy.2019.06.085
[3] Hemmatpour, M. H., Rezaeian Koochi, M. H., Dehghanian, P., & Dehghanian, P. (2022). Voltage and energy control in distribution systems in the presence of flexible loads considering coordinated charging of electric vehicles.
Energy,
239(3), 121880.
https ://doi.org/10.1016/j.energy.2021.121880
[4] Ghaffari, A., Askarzadeh, A., & Fadaeinedjad, R. (2022). Optimal allocation of energy storage systems, wind turbines and photovoltaic systems in distribution network considering flicker mitigation.
Applied Energy,
319(2), 119253.
https://doi.org/10.1016/j.apener gy.2022.119253
[5] Naderipour, A., Abdul-Malek, Z., Mustafa, M. W. B., & Guerrero, J. M. (2021). A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems.
Applied Soft Computing,
105(1), 107278.
https://doi.org/10. 1016/j.asoc.2021.107278
[6] Nourian, S., & Kazemi, A. (2022). Resilience enhancement of active distribution networks in the presence of wind turbines and energy storage systems by considering flexible loads.
Journal of Energy Storage,
48C(2), 104042.
https://doi.org/10.1016/j.est.202 2.104042
[7] Abad, M. S. S., & Ma, J. (2021). Photovoltaic Hosting Capacity Sensitivity to Active Distribution Network Management.
Institute of Electrical and Electronics Engineers Transactions on Power Systems,
36(1), 107-117.
https://doi.org/10.1109/TPWRS.2020.3007997
[8] Jaramillo-Leon, B., Zambrano-Asanza, S., Franco, J. F., & Leite, J. B. (2023). Simulation-based optimization framework to increase distribution system photovoltaic hosting capacity through optimal settings of smart inverter Volt-VAr control function.
Electric Power Systems Research,
215, 108971.
https://doi.org/10.1016/j.epsr.2022.108971
[9] Chi Kien, L., Thanh Nguyen, T., Minh Phan, T., & Trung Nguyen, T. (2022). Maximize the penetration level of photovoltaic systems and shunt capacitors in distribution systems for reducing active power loss and eliminating conventional power source.
Sustainable Energy Technologies and Assessments,
52, 102253.
https://doi.org/10.1016/j.seta.2 022.102253
[10] Pan, W., Mao, M., Zhou, Y., Quan, X., & Li, Y. (2021). The impact of extreme weather condition on the voltage regulation in distribution systems with high penetration of roof-top photovoltaic.
Energy Reports,
7, 320-331.
https://doi.org/10.1016/j.egyr.2021.0 8.041
[11] Moghaddam, S. Z., & Akbari, T. (2022). A Mixed-integer Linear Programming Model for the Plug-in Electric Vehicle Charging Problem in Unbalanced Low Voltage Electrical Distribution Systems Considering Neutral Conductor.
Electric Power Systems Research,
209(3), 108049.
https://doi.org/10.1016/j.epsr.2022.108049
[12] Gu, C., Zhang, Y., Wang, J., & Li, Q. (2021). Joint planning of electrical storage and gas storage in power-gas distribution network considering high-penetration electric vehicle and gas vehicle.
Applied Energy,
301, 117447.
https://doi.org/10.1016/j.apenergy.2 021.117447
[13] Kant, A., Singh, R., Kassi, S. K., Sharma, A., Mubashir, S., Sharma, A., Kanuri, C., Das, S., & Mulukutla, P. (2021).
Handbook of electric vehicle charging infrastructure implementation. National Institution for Transforming India Aayog.
https://efastindi a.org/handbook-electric-vehicle-charging-infrastructure-implementation
[14] Dashtaki, A., Hakimi, S. M., Hasankhani, A., Derakhshani, G., & Abdi, B. (2023). Optimal management algorithm of microgrid connected to the distribution network considering renewable energy system uncertainties.
International Journal of Electrical Power & Energy Systems,
145(11), 108633.
https://doi.org/10.1016/j.ijepes.2022.108633
[15] Abbasi, S. M., Nafar, M., & Simab, M. (2021). Decentralized Control of Bidirectional Converters in a Grid-connected DC Microgrid to Increase System Stability Using a Genetic-Neural Algorithm.
Karafan Quarterly Scientific Journal,
18(3), 187-205.
h ttps://doi.org/10.48301/kssa.2021.261332.1319
[16] Mohammadi, F., Molaei, M., & Afra, O. (2021). Optimization of Nuclear Reactor Power with Control Rods Driven by Switched Reluctance Motor (SRM) With Differential Evolution and Firefly Algorithms.
Karafan Quarterly Scientific Journal,
17(4), 81-97.
https://doi.org/10.48301/kssa.2021.128397
[17] Khodadadi, A., Abedinzadeh, T., Alipour, H., & Pouladi, J. (2022). Multi-Objective Operation Planning for a Distribution Network to Improve Economic Parameters and Network Resilience Considering Weather Conditions.
Karafan Quarterly Scientific Journal,
19(3), 305-331.
https://doi.org/10.48301/kssa.2022.346042.2144
[18] Zhong, L., & Pei, M. (2020). Optimal Design for a Shared Swap Charging System Considering the Electric Vehicle Battery Charging Rate.
Energies,
13(5), 1213.
https://doi.org/1 0.3390/en13051213
[19] Adegbohun, F., Von Jouanne, A., & Lee, K. Y. (2019). Autonomous Battery Swapping System and Methodologies of Electric Vehicles.
Energies,
12(4), 667.
https://doi.org/10.33 90/en12040667
[20] Hung, D. Q., Mithulananthan, N., & Lee, K. Y. (2014). Determining PV Penetration for Distribution Systems With Time-Varying Load Models.
Institute of Electrical and Electronics Engineers Transactions on Power Systems,
29(6), 3048-3057.
https://do i.org/10.1109/TPWRS.2014.2314133
[21] Palahalli, H., Maffezzoni, P., Daniel, L., & Gruosso, G. (2022). Statistical analysis of PV penetration impact on residential distribution grids.
Sustainable Energy, Grids and Networks,
32(5), 100949.
https://doi.org/10.1016/j.segan.2022.100949
[22] Sharma, V., Aziz, S. M., Haque, M. H., & Kauschke, T. (2020). Effects of high solar photovoltaic penetration on distribution feeders and the economic impact.
Renewable and Sustainable Energy Reviews,
131, 110021.
https://doi.org/10.1016/j.rser.2020.110021
[23] Zhou, N., Xiong, X., & Wang, Q. (2014). Probability Model and Simulation Method of Electric Vehicle Charging Load on Distribution Network.
Electric Power Components and Systems,
42(9), 879-888.
https://doi.org/10.1080/15325008.2014.903537
[24] Qian, K., Zhou, C., Allan, M., & Yuan, Y. (2011). Modeling of Load Demand Due to EV Battery Charging in Distribution Systems.
Institute of Electrical and Electronics Engineers Transactions on Power Systems,
26(2), 802-810.
https://doi.org/10.1109/TPWRS.2 010.2057456
[25] Majumder, S., De, K., Kumar, P., Sengupta, B., & Biswas, P. K. (2021). Techno-commercial analysis of sustainable E-bus-based public transit systems: An Indian case study.
Renewable and Sustainable Energy Reviews,
144(e560), 111033.
https://doi.org/10.1016/j.rser. 2021.111033
[26] Mendoza, A., & Argueta, J. (2000).
Performance characterization—GM EV1 Panasonic lead acid battery. Southern California Edison.
https://avt.inl.gov/sites/default/files/ pdf/fsev/2000panpbaev1report.pdf
[27] Hemmatpour, M. H. (2019). Optimum Interconnected Islanded Microgrids Operation with High Levels of Renewable Energy.
Smart Science,
7(1), 47-58.
https://doi.org/10.10 80/23080477.2018.1540379
[28] Hemmatpour, M. H., & Koochi, M. H. R. (2022). Efficient Wind Turbine Generation Planning for Decreasing Distribution System Company Payments in Real Applications.
Journal of Modern Power Systems and Clean Energy,
10(1), 81-90.
https://doi.org/10.35833 /MPCE.2019.000421
[29] Silva, L. E. S. E., Vieira, J. P. A., Medeiros, R. L. P., Veroneze, G. D. M., Freitas, P. R. R. D., Ayres Júnior, F. A. D. C., & Lopes, A. D. C. (2023). Probabilistic operational costs assessment of combined PV–PEV connections in LV distribution networks.
Electric Power Systems Research,
214(3), 108906.
https://doi.org/10.1016/j.epsr.2022.108906