[1] Askari, F. (2021). Assessment of the Impact of Distributed Generation and Distribution Network Faults on Generation Reliability Indices.
Karafan Quarterly Scientific Journal,
18(3), 13-33.
https://doi.org/10.48301/kssa.2021.277262.1427
[3] Pham, T. D., Nguyen, T. T., & Dinh, B. H. (2021). Find optimal capacity and location of distributed generation units in radial distribution networks by using enhanced coyote optimization algorithm.
Neural Computing and Applications,
33(9), 4343-4371.
htt ps://doi.org/10.1007/s00521-020-05239-1
[4] Sambaiah, K. S., & Jayabarathi, T. (2021). Optimal reconfiguration and renewable distributed generation allocation in electric distribution systems.
International Journal of Ambient Energy,
42(9), 1018-1031.
https://doi.org/10.1080/01430750.2019.1583604
[5] Akkas, Ö. P., & Ertugrul, C. (2020). Bidding and Operating Planning of a Virtual Power Plant in a Day-Ahead Market.
International Journal of Engineering Research and Development,
12(3), 1-10.
https://doi.org/10.29137/umagd.842476
[6] Avar, A., & Sheikh-El-Eslami, M. K. (2021). Optimal DG placement in power markets from DG Owners’ perspective considering the impact of transmission costs.
Electric Power Systems Research,
196(9), 107218.
https://doi.org/10.1016/j.epsr.2021.107218
[7] Aliakbari, M., Maghouli, P., & Aalami, H. A. (2018). Reliability constrained unit commitment considering the effect of DG and DR program.
International Journal of Electrical and Computer Engineering,
8(4), 1985-1996.
https://doi.org/10.11591/ijece.v8i4.pp1985-1996
[8] Nazari, M. H., Bagheri Sanjareh, M., Khodadadi, A., Torkashvand, M., & Hosseinian, S. H. (2021). An economy-oriented DG-based scheme for reliability improvement and loss reduction of active distribution network based on game-theoretic sharing strategy.
Sustainable Energy, Grids and Networks,
27, 100514.
https://doi.org/10.1016/j.segan.20 21.100514
[9] Yahaya, A. A., AlMuhaini, M., & Heydt, G. T. (2020). Optimal design of hybrid DG systems for microgrid reliability enhancement.
Institution of Engineering and Technology generation, transmission & distribution,
14(5), 816-823.
https://doi.org/10.1049/iet -gtd.2019.0277
[10] Vatani, M., Solati Alkaran, D., Sanjari, M. J., & Gharehpetian, G. B. (2016). Multiple distributed generation units allocation in distribution network for loss reduction based on a combination of analytical and genetic algorithm methods.
Institution of Engineering and Technology Generation, Transmission & Distribution,
10(1), 66-72.
https://doi.org/ 10.1049/iet-gtd.2015.0041
[11] Rahmani-Andebili, M. (2015). Distributed generation placement planning modeling feeder’s failure rate and customer’s load type.
IEEE Transactions on Industrial Electronics,
63(3), 1598-1606.
https://doi.org/10.1109/TIE.2015.2498902
[12] Nguyen, T. T., Truong, A. V., & Phung, T. A. (2016). A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network.
International Journal of Electrical Power & Energy Systems,
78, 801-815.
https://doi.org/10.1016/j.ijepes.2015.12.030
[13] Colmenar-Santos, A., Reino-Rio, C., Borge-Diez, D., & Collado-Fernández, E. (2016). Distributed generation: A review of factors that can contribute most to achieve a scenario of DG units embedded in the new distribution networks.
Renewable and Sustainable Energy Reviews,
59, 1130-1148.
https://doi.org/10.1016/j.rser.2016.01. 023
[14] 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.
https://doi.org/10.1016/j.apenergy.2017.10.106
[15] Mehigan, L., Deane, J. P., Gallachóir, B. P. Ó., & Bertsch, V. (2018). A review of the role of distributed generation (DG) in future electricity systems.
Energy,
163, 822-836.
https://doi.org/10.1016/j.energy.2018.08.022
[18] Arabali, A., Ghofrani, M., Etezadi-Amoli, M., Fadali, M. S., & Moeini-Aghtaie, M. (2014). A Multi-Objective Transmission Expansion Planning Framework in Deregulated Power Systems With Wind Generation.
IEEE Transactions on Power Systems,
29(6), 3003-3011.
https://doi.org/10.1109/TPWRS.2014.2316529
[19] Gampa, S. R., & Das, D. (2019). Simultaneous optimal allocation and sizing of distributed generations and shunt capacitors in distribution networks using fuzzy GA methodology.
Journal of Electrical Systems and Information Technology,
6(1), 1-18.
https://doi.org/10 .1186/s43067-019-0003-2
[20] Karimizadeh, K., Soleymani, S., & Faghihi, F. (2019). Microgrid utilization by optimal allocation of DG units: Game theory coalition formulation strategy and uncertainty in renewable energy resources.
Journal of Renewable and Sustainable Energy,
11(2), 025505.
https://doi.org/10.1063/1.5078720
[21] Nagaballi, S., & Kale, V. S. (2020). Pareto optimality and game theory approach for optimal deployment of DG in radial distribution system to improve techno-economic benefits.
Applied Soft Computing,
92, 106234.
https://doi.org/10.1016/j.asoc.2020.1062 34
[22] Samala, R. K., & Kotapuri, M. R. (2020). Optimal allocation of distributed generations using hybrid technique with fuzzy logic controller radial distribution system.
Springer nature applied sciences,
2(2), 1-14.
https://doi.org/10.1007/s42452-020-1957-3
[23] Levin, T., & Botterud, A. (2015). Capacity Adequacy and Revenue Sufficiency in Electricity Markets With Wind Power.
IEEE Transactions on Power Systems,
30(3), 1644-1653.
https://doi.org/10.1109/TPWRS.2015.2403714
[24] Gözel, T., & Hocaoglu, M. H. (2009). An analytical method for the sizing and siting of distributed generators in radial systems.
Electric Power Systems Research,
79(6), 912-918.
https://doi.org/10.1016/j.epsr.2008.12.007
[25] Gharibi, M., & Askarzadeh, A. (2019). Size and power exchange optimization of a grid-connected diesel generator-photovoltaic-fuel cell hybrid energy system considering reliability, cost and renewability.
International Journal of Hydrogen Energy,
44(47), 25428-25441.
https://doi.org/10.1016/j.ijhydene.2019.08.007
[26] Jamshidi, M., & Askarzadeh, A. (2019). Techno-economic analysis and size optimization of an off-grid hybrid photovoltaic, fuel cell and diesel generator system.
Sustainable Cities and Society,
44, 310-320.
https://doi.org/10.1016/j.scs.2018.10.021
[27] Jayasree, M. S., Sreejaya, P., & Bindu, G. R. (2019). Multi-Objective Metaheuristic Algorithm for Optimal Distributed Generator Placement and Profit Analysis.
Technology and Economics of Smart Grids and Sustainable Energy,
4(1), 1-10.
https://doi.org/1 0.1007/s40866-019-0067-z
[28] Zhang, L., Tang, W., Liu, Y., & Lv, T. (2015). Multiobjective optimization and decision-making for DG planning considering benefits between distribution company and DGs owner.
International Journal of Electrical Power & Energy Systems,
73, 465-474.
https://doi.org/10.1016/j.ijepes.2015.05.019
[29] Patra, S. B., Mitra, J., & Ranade, S. J. (2005, June 16).
Microgrid architecture: a reliability constrained approach. IEEE Power Engineering Society General Meeting, 2005, San Francisco, CA, USA.
https://doi.org/10.1109/PES.2005.1489500
[31] Shukla, A. K., Singh, P., & Vardhan, M. (2020). An adaptive inertia weight teaching-learning-based optimization algorithm and its applications.
Applied Mathematical Modelling,
77, 309-326.
https://doi.org/10.1016/j.apm.2019.07.046
[33] Fakhar, M. S., Kashif, S. A. R., Liaquat, S., Rasool, A., Padmanaban, S., Iqbal, M. A., Baig, M. A., & Khan, B. (2021). Implementation of APSO and Improved APSO on Non-Cascaded and Cascaded Short Term Hydrothermal Scheduling.
IEEE Access,
9, 77784-77797.
https://doi.org/10.1109/ACCESS.2021.3083528