[1] L. Ge, J. Liu, T. Du, C. Zhao, R. Pian, and W. Liu, "Size Optimization of Wind-PV-Diesel-Hydrogen-Ice System for Island Microgrid," 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, pp. 1-5,2022. doi: 10.1109/PESGM48719.2022.9916871
[2] A. M. Shaheen and R. A. El-Sehiemy, "A Multiobjective Salp Optimization Algorithm for Techno-Economic-Based Performance Enhancement of Distribution Networks," in IEEE Systems Journal, vol. 15, no. 1, pp. 1458-1466, 2021. doi: 10.1109/JSYST.2020.2964743.
[3] H. Yin, Y. Wang, G. Wu, Y. Liu,Y. Chen, J. Liu, “Distributed optimal operation of PV-storage-load micro-grid considering renewable and load uncertainties,” J.Energy Storage, 2024. doi.org/10.1016/j.est.2024.111168.
[4] J. Lu, W. Zheng, Z. Yu, Z. Xu, H. Jiang, and M. Zeng, "Optimizing Grid-Connected Multi-Microgrid Systems With Shared Energy Storage for Enhanced Local Energy Consumption," in IEEE Access, vol. 12, pp. 13663-13677, 2024, doi: 10.1109/ACCESS.2024.3351855.
[5] E.Rhodes, W.A. Scott, M. Jaccard, “Designing flexible regulations to mitigate climate change: A cross-country comparative policy analysis,” Energy Policy, vol.156, no.112419, 2021. doi.org/10.1016/j.enpol.2021.112419.
[6] H.Qari, S.Khosrogorji, and H.Torkaman, “Optimal sizing of hybrid WT/PV/diesel generator/battery system using MINLP method for a region in Kerman”, Scientia Iranica, vol.27, no.6, pp. 3066–3074, 2020. doi.10.24200/sci.2019.50176.1555.
[7] F. Esmaeilion, A. Ahmadi and R. Dashti, "Exergy-economic-environment optimization of the waste-to-energy power plant using Multi-Objective Particle-Swarm Optimization (MOPSO)," Scientia Iranica, vol, no. 28, pp. 2733-2750, 2021. doi: 10.24200/sci.2021.55633.4323
[8] Y.He, Z. Li, J.Zhang, G. Shi, W.Cao, “Day-ahead and intraday multi-time scale microgrid scheduling based on light robustness and MPC.”Int. J. Electr. Power Energy Syst. , vol.144, 2023. doi.org/10.1016/j.ijepes.2022.108546.
[9] J. Zhang et al., "Multi-Time Scale Economic Scheduling Method Based on Day-Ahead Robust Optimization and Intraday MPC Rolling Optimization for Microgrid," in IEEE Access, vol. 9, pp. 140315-140324, 2021. doi: 10.1109/ACCESS.2021.3118716.
[10] X. Zhang and S. Li, "Optimal Scheduling of Microgrid Based on Improved Particle Swarm Optimization," 2024 International Conference on Artificial Intelligence and Power Systems (AIPS), Chengdu, China, pp. 466-469, 2024. doi: 10.1109/AIPS64124.2024.00102.
[11] X.Wu, Y.Shan,K.Fan, “A Modified Particle Swarm Algorithm for the Multi-target optimization of Wind/Photovoltaic/Diesel/Storage Microgrids”, Sustainability, vol.16, pp.415-423, 2024. doi.org/10.3390/su16031065.
[12]S. Wu, Q. Li,J. Liu, Q. Zhou, C. Wang, “Bi-level optimal configuration for combined cooling, heating, and power multi-microgrids based on energy storage station service,” PowerSyst. Technol, vol. 45, pp 3822–3829,2021. doi.org/10.1016/j.gloei.2025.09.001.
[13] H. Borhanazad, S. Mekhilef, G. Ganapathy, V. Modiri-Delshad, M. Mirtaheri, “Optimization of micro-grid system using MOPSO,” Renew. Energy, vol. 71, no. 12, pp. 295–306, 2014. doi.org/10.1016/j.renene.2014.05.006.
[14] D. C. Huynh, H. M. Pham, L. D. Ho, H. V. Nguyen, M. W. Dunnigan, and C. Barbalata, "Optimal Configuration of a DC Microgrid Using a Grey Wolf Optimization Algorithm," 2024 7th International Conference on Green Technology and Sustainable Development (GTSD), Ho Chi Minh City, Vietnam, pp. 401-406, 2024. doi: 10.1109/GTSD62346.2024.10674805
[15]M.H. Imani, M.J. Ghadi, S.Ghavidel, L. Li, “Demand Response Modeling in Microgrid Operation: A Review and Application for Incentive-Based and Time-Based Programs,” Renew. Sustain—Energy Rev, vol. 94, pp 486–499, 2018.doi.org/10.1016/j.rser.2018.06.017.
[16] M. Rahmani-Andebili, "Grid-Connected and Off-Grid Operation of a Microgrid Applying Fuzzy Mixed-Integer Linear Programming," 2022 IEEE Power and Energy Conference at Illinois (PECI), Champaign, IL, USA, 2022, pp. 1-5,2022. doi: 10.1109/PECI54197.2022.9744047.
[17] X.Ma, X.Fang, L.Lv, K. Ling, Y.Shi, “Optimal Allocation of Wind and Solar Storage Capacity in Smart Microgrid Based on Particle Swarm Optimization Algorithm,” In Proceedings of the 2024 International Conference on Smart City and Information System, Kuala Lumpur, Malaysia, pp. 93–98, 2024. doi.org/10.1145/3685088.3685107
[18] M.Agoundedemba, C.K. Kim, H.-G. Kim, R. Nyenge, N. Musila, “Modelling and optimization of microgrid with combined genetic algorithm and model predictive control of PV/Wind/FC/battery energy systems,” Energy Rep, vol. 13, pp. 238–255, 2025. doi.org/10.1016/j.egyr.2024.12.008.
[19] Ge. Riletu, Z. Lihui, Ch. Jianxue. “A two-level planning model for energy optimal dispatching of an active distribution network considering a microgrid group cooperative game,” Renewable Energy Resources, no. 38, pp. 205-211, 2020. doi.org/10.1016/j.ijepes.2021.106959.
[20] Y.A. Sha’aban, M.S. Shahriar, S.M. Abdullah, M.A. Ramli, “Sizing of Hybrid PV/Battery/Wind/Diesel Microgrid System Using an Improved Decomposition Multi-Objective Evolutionary Algorithm Considering Uncertainties and Battery Degradation” Sustainability, no.15, 2023. doi.org/10.3390/su151411073.
[21] W. Tang and H. Qin, "Multi-Microgrid Optimal Scheduling Considering Electric Vehicle Participation," 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2), Changsha, China, pp. 2026-2031, 2019.
doi: 10.1109/EI247390.2019.9061789.
[22] M. Abedini, “Power management in hybrid power generation systems based on solar-wind and diesel generators in distribution networks using fuzzy functions. Fuzzy Systems and its Applications, vol. 7, no.1, 53-77, 2024. 10.22034/jfsa.2024.456723.1205.
[23] F.Akram, F.Asghar, M.A. Majeed, et al. “Techno-economic optimization analysis of stand-alone renewable energy system for remote areas”, Sustainable Energy Technologies and Assessments, vol. 38, 2020.
doi.org/10.1016/j.seta.2020.100673.
[24] Y. Li, M. Han, Z. Yang, and G. Li, "Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems With an Electric Vehicle Charging Station: A Bi-Level Approach," in IEEE Transactions on Sustainable Energy, vol. 12, no. 4, pp. 2321-2331, 2021. doi: 10.1109/TSTE.2021.3090463.
[25] T.Lan, K.Jermsittiparsert, T.S. Alrashood, et al. “An advanced machine learning based energy management of renewable microgrids considering hybrid electric vehicles’ charging demand”, Energies, vol.14, no.3, pp. 569-576, 2021. doi.org/10.3390/en14030569.
[26] X. Li, B. Sun, W. Ju, H. Zhang and R. Wang, "Capacity Configuration Model of Biogas-based Integrated Energy System," 2021 IEEE 4th International Electrical and Energy Conference (CIEEC), Wuhan, China, pp. 1-6, 2021. doi: 10.1109/CIEEC50170.2021.9510359.
[27]K.M.R. Pothireddy, S. Vuddanti, “Novel demand-response-based stochastic optimization in a grid-connected microgrid considering outlier detection and imputation,” IJAE, no. 46, 2024. doi.org/10.1080/01430750.2024.2442602.
[28] A. Silani and M. J. Yazdanpanah, "Distributed Optimal Microgrid Energy Management With Considering Stochastic Load," in IEEE Transactions on Sustainable Energy, vol. 10, no. 2, pp. 729-737, 2019. doi: 10.1109/TSTE.2018.2846279.
[29] S. Samadi Gharehveran, K. Shirini, M. Sarhangzadeh, and S. Gholinavaz, "A Review of Game Theory-based Approaches for Demand Side Management in Smart Energy Grids," Power, Control, and Data Processing Systems, 3 1 (2026): e730417, doi: 10.30511/pcdp.2025.2072667.1045.
[30] S. Samadi Gharehveran, K. Shirini, S. Cheshmeh Khavar, A. Abdollahi, “Optimizing day-ahead power scheduling: A novel MIQCP approach for enhanced SCUC with renewable integration,” j.prime, vol. 12, 2025,doi.org/10.1016/j.prime.2025.101022.
[31] N. Saeedi, D. Baharvand, K. Shirini, et al. Prediction of electrical energy consumption using principal component analysis and independent component analysis. J Supercomput, vol. 81, 2025. doi.org/10.1007/s11227-025-07505-2.
[32] K.Jin, H.Banizaman, S.S. Gharehveran, et al. Robust power management capabilities of integrated energy systems in the smart distribution network, including linear and non-linear loads. Sci Rep, vol. 15, 6615,2025. doi.org/10.1038/s41598-025-89817-0.
[33] S. Samadi Gharehveran, "A Review of Energy Management of Multi-microgrid Power Systems in the Presence of Uncertainty of Distributed Generation Resources," Power, Control, and Data Processing Systems, no.2, vol. 4, pp.46-58,2025. doi: 10.30511/pcdp. 2025.2072671.1046.
[34]M. Abedini, H.Moazami, “Reconfiguration of electricity distribution networks to increase resilience and reliability using fuzzy objective functions and game theory,” Passive Defense, vol.15, no. 3, 27-38. 2024. 20.1001.1.20086849.1403.15.3.3.4.
