- https://ourworldindata.org/renewable-energy.
- https://www.iea.org/reports/global-ev-outlook-2023/trends-in-electric-light-duty-vehicles.
- HA, M. P., Huy, P. D., & Ramachandaramurthy, V. K. (2017). A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms. Renewable and Sustainable Energy Reviews, 75, 293-312. DOI: 1016/j.rser.2016.10.071
- Ehsan, A., & Yang, Q. (2018). Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques. Applied Energy, 210, 44-59. DOI: 1016/j.apenergy.2017.10.106
- Tolba, M. A., Rezk, H., Al-Dhaifallah, M., & Eisa, A. A. (2020). Heuristic optimization techniques for connecting renewable distributed generators on distribution grids. Neural Computing and Applications, 32, 14195-14225. DOI: 1007/s00521-020-04812-y
- Reddy, P. D. P., Reddy, V. C. V., & Manohar, T. G. (2018). Optimal renewable resources placement in distribution networks by combined power loss index and whale optimization algorithms. Journal of Electrical Systems and Information Technology, 5(2), 175-191. DOI: 1016/j.jesit.2017.05.006
- Reddy, P. D. P., Reddy, V. C. V., & Manohar, T. G. (2018). Ant Lion optimization algorithm for optimal sizing of renewable energy resources for loss reduction in distribution systems. Journal of Electrical Systems and Information Technology, 5(3), 663-680. DOI: 1016/j.jesit.2017.06.001
- Suresh, M. C. V., & Belwin, E. J. (2018). Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm. Renewables: Wind, Water, and Solar, 5(1), 1-8. DOI: 1186/s40807-018-0050-7
- Reddy, P. D. P., Reddy, V. V., & Manohar, T. G. (2016). Application of flower pollination algorithm for optimal placement and sizing of distributed generation in distribution systems. Journal of Electrical Systems and Information Technology, 3(1), 14-22. DOI: 1016/j.jesit.2015.10.002
- Chithra Devi, S. A., Lakshminarasimman, L., & Balamurugan, R. (2017). Stud Krill herd Algorithm for multiple DG placement and sizing in a radial distribution system. Engineering Science and Technology, an International Journal, 20(2), 748-759. DOI: 1016/j.jestch.2016.11.009
- Ali, E. S., Abd Elazim, S. M., & Abdelaziz, A. Y. (2017). Ant Lion Optimization Algorithm for optimal location and sizing of renewable distributed generations. Renewable Energy, 101, 1311-1324. DOI: 1016/j.renene.2016.09.023
- Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO). (2021). Ain Shams Engineering Journal, 12(1), 609–619. DOI: 1016/j.asej.2020.07.009
- Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm. (2016). Ain Shams Engineering Journal, 7(2), 683–694. DOI: 1016/j.asej.2015.05.014
- Hemeida, M. G., Alkhalaf, S., Senjyu, T., Ibrahim, A., Ahmed, M., & Bahaa-Eldin, A. M. (2021). Optimal probabilistic location of DGs using Monte Carlo simulation based different bio-inspired algorithms. Ain Shams Engineering Journal, 12(3), 2735-2762. DOI: 1016/j.asej.2021.02.007
- Ali, M. H., Kamel, S., Hassan, M. H., Tostado-Véliz, M., & Zawbaa, H. M. (2022). An improved wild horse optimization algorithm for reliability based optimal DG planning of radial distribution networks. Energy Reports, 8, 582-604. DOI: 1016/j.egyr.2021.12.023
- Janamala, V., & Radha Rani, K. (2022). Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm. Clean Energy, 6(2), 271-287. DOI: 1093/ce/zkac010
- Selim, A., Kamel, S., Alghamdi, A. S., & Jurado, F. (2020). Optimal placement of DGs in distribution system using an improved harris hawks optimizer based on single-and multi-objective approaches. IEEE Access, 8, 52815-52829. 1109/access.2020.2980245
- Janamala, V., Kamal Kumar, U., & Pandraju, T. K. S. (2021). Future search algorithm for optimal integration of distributed generation and electric vehicle fleets in radial distribution networks considering techno-environmental aspects. SN Applied Sciences, 3(4), 464. DOI: 1007/s42452-021-04466-y
- Bhadoriya, J. S., & Gupta, A. R. (2021). A novel transient search optimization for optimal allocation of multiple distributed generator in the radial electrical distribution network. International Journal of Emerging Electric Power Systems, 23(1), 23-45. DOI: 1515/ijeeps-2021-0001
- Shahzad, M., Akram, W., Arif, M., Khan, U., & Ullah, B. (2021). Optimal siting and sizing of distributed generators by strawberry plant propagation algorithm. Energies, 14(6), 1744. DOI: 3390/en14061744
- Akbar, M. I., Kazmi, S. A. A., Alrumayh, O., Khan, Z. A., Altamimi, A., & Malik, M. M. (2022). A novel hybrid optimization-based algorithm for the single and multi-objective achievement with optimal DG allocations in distribution networks. IEEE Access, 10, 25669-25687. DOI: 1109/access.2022.3155484
- Das, H. S., Rahman, M. M., Li, S., & Tan, C. W. (2020). Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review. Renewable and Sustainable Energy Reviews, 120, 109618. 1016/j.rser.2019.109618
- Zeb, M. Z., Imran, K., Khattak, A., Janjua, A. K., Pal, A., Nadeem, M., ... & Khan, S. (2020). Optimal placement of electric vehicle charging stations in the active distribution network. IEEE Access, 8, 68124-68134. DOI: 1109/access.2020.2984127
- Khan, W., Ahmad, F., & Alam, M. S. (2019). Fast EV charging station integration with grid ensuring optimal and quality power exchange. Engineering Science and Technology, an International Journal, 22(1), 143-152. DOI: 1016/j.jestch.2018.08.005
- Dai, Q., Liu, J., & Wei, Q. (2019). Optimal photovoltaic/battery energy storage/electric vehicle charging station design based on multi-agent particle swarm optimization algorithm. Sustainability, 11(7), 1973. DOI: 3390/su11071973
- Injeti, S. K., & Thunuguntla, V. K. (2020). Optimal integration of DGs into radial distribution network in the presence of plug-in electric vehicles to minimize daily active power losses and to improve the voltage profile of the system using bio-inspired optimization algorithms. Protection and Control of Modern Power Systems, 5, 1-15. DOI: 1186/s41601-019-0149-xA new meta-heuristic optimizer: Pathfinder algorithm. (2019). Applied Soft Computing, 78, 545–568. DOI: 10.1016/j.asoc.2019.03.012
- An enhanced pathfinder algorithm for engineering optimization problems. (2021). Engineering with Computers, 38(S2), 1481–1503. DOI: 1007/s00366-021-01286-x
- A new power flow method for radial distribution systems including voltage dependent load models. (2005). Electric Power Systems Research, 76(1-3), 106–114. DOI: 1016/j.epsr.2005.05.008
- Abdel-Akher, M., Eid, A., & Ali, A. (2017). Effective demand side scheme for PHEVs operation considering voltage stability of power distribution systems. International Journal of Emerging Electric Power Systems, 18(2), 20160041. DOI: 1515/ijeeps-2016-0041
- Janamala, V., & Radha Rani, K. (2022). Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm. Clean Energy, 6(2), 271-287.
- Rani, K. R., Rani, P. S., Chaitanya, N., & Janamala, V. (2022). Improved Bald Eagle Search for Optimal Allocation of D-STATCOM in Modern Electrical Distribution Networks with Emerging Loads. International Journal of Intelligent Engineering & Systems, 15(2), 554-563. DOI: 10.22266/ijies2022.0430.49
|