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A., & Cros, J. (2022). A deep learning based multiobjective optimization for the planning of resilience-oriented microgrids in active distribution system. IEEE Access, 10, 84330-84364. [ DOI:10.1109/ACCESS.2022.3197194] 19. Reiz, C., & Leite, J. B. (2022). Optimal coordination of protection devices in distribution networks with distributed energy resources and microgrids. IEEE Access, 10, 99584-99594. [ DOI:10.1109/ACCESS.2022.3203713] 20. Vilaisarn, Y., Moradzadeh, M., Abdelaziz, M., & Cros, J. (2022). An MILP formulation for the optimum operation of AC microgrids with hierarchical control. International Journal of Electrical Power & Energy Systems, 137, 107674. [ DOI:10.1016/j.ijepes.2021.107674] 22. Singh, A., & Nguyen, H. D. (2022). A two-layer framework for optimal control of battery temperature and microgrid operation. Journal of Energy Storage, 50, 104057. [ DOI:10.1016/j.est.2022.104057] 23. Lakouraj, M. M., Shahabi, M., Shafie-khah, M., & Catalão, J. P. S. (2022). Optimal market-based operation of microgrid with the integration of wind turbines, energy storage system and demand response resources. Energy, 239, 122156. [ DOI:10.1016/j.energy.2021.122156] 25. Akulker, H., & Aydin, E. (2023). Optimal design and operation of a multi-energy microgrid using mixed-integer nonlinear programming: Impact of carbon cap and trade system and taxing on equipment selections. Applied Energy, 330, 120313. [ DOI:10.1016/j.apenergy.2022.120313] 27. Shokouhmand, E., & Ghasemi, A. (2022). Stochastic optimal scheduling of electric vehicles charge/discharge modes of operation with the aim of microgrid flexibility and efficiency enhancement. Sustainable Energy, Grids and Networks, 32, 100929. [ DOI:10.1016/j.segan.2022.100929] 28. Yuan, W., Wang, Y., & Chen, Z. (2021). New perspectives on power control of AC microgrid considering operation cost and efficiency. IEEE Transactions on Power Systems, 36(5), 4844-4847. [ DOI:10.1109/TPWRS.2021.3080141] 29. Fan, Z., Fan, B., Peng, J., & Liu, W. (2021). Operation loss minimization targeted distributed optimal control of DC microgrids. IEEE Systems Journal, 15(4), 5186-5196. [ DOI:10.1109/JSYST.2020.3035059] 30. Al-Ismail, F. S. (2021). DC microgrid planning, operation, and control: A comprehensive review. IEEE Access, 9, 36154-36172. [ DOI:10.1109/ACCESS.2021.3062840] 31. Jia, Y., Wen, P., Yan, Y., & Huo, L. (2021). Joint operation and transaction mode of rural multi microgrid and distribution network. IEEE Access, 9, 14409-14421. [ DOI:10.1109/ACCESS.2021.3050793] 32. Nguyen, T. -T., Dao, T. -K., Nguyen, T. -T. -T., & Nguyen, T. -D. (2022). An optimal microgrid operations planning using improved Archimedes optimization algorithm. IEEE Access, 10, 67940-67957. [ DOI:10.1109/ACCESS.2022.3185737] 33. Wang, C., Wang, A., Chen, S., Zhang, G., & Zhu, B. (2022). Optimal operation of microgrids based on a radial basis function metamodel. IEEE Systems Journal, 16(3), 4756-4767. [ DOI:10.1109/JSYST.2021.3130760] 34. Li, Z., Wu, L., Xu, Y., Moazeni, S., & Tang, Z. (2022). Multi-stage real-time operation of a multi-energy microgrid with electrical and thermal energy storage assets: A data-driven MPC-ADP approach. IEEE Transactions on Smart Grid, 13(1), 213-226. [ DOI:10.1109/TSG.2021.3119972] 35. Fallahi, F., Yildirim, M., Lin, J., & Wang, C. (2021). Predictive multi-microgrid generation maintenance: Formulation and impact on operations & resilience. IEEE Transactions on Power Systems, 36(6), 4979-4991. [ DOI:10.1109/TPWRS.2021.3066462] 36. Chamana, M., et al. (2022). Buildings participation in resilience enhancement of community microgrids: Synergy between microgrid and building management systems. IEEE Access, 10, 100922-100938. [ DOI:10.1109/ACCESS.2022.3207772] 37. Karimianfard, H., & Haghighat, H. (2019). Generic resource allocation in distribution grid. IEEE Transactions on Power Systems, 34(1), 810-813. [ DOI:10.1109/TPWRS.2018.2867170] 38. Zhang, Z., Wang, Z., Wang, H., Zhang, H., Yang, W., & Cao, R. (2021). Research on bi-level optimized operation strategy of microgrid cluster based on IABC algorithm. IEEE Access, 9, 15520-15529. [ DOI:10.1109/ACCESS.2021.3053122] 39. Wang, C., Yu, H., Chai, L., Liu, H., & Zhu, B. (2021). Emergency load shedding strategy for microgrids based on dueling deep Q-learning. IEEE Access, 9, 19707-19715. [ DOI:10.1109/ACCESS.2021.3055401] 40. Lee, J., Lee, S., & Lee, K. (2021). Multistage stochastic optimization for microgrid operation under islanding uncertainty. IEEE Transactions on Smart Grid, 12(1), 56-66. [ DOI:10.1109/TSG.2020.3012158] 41. Zhao, Z., et al. (2022). Distributed robust model predictive control-based energy management strategy for islanded multi-microgrids considering uncertainty. IEEE Transactions on Smart Grid, 13(3), 2107-2120. [ DOI:10.1109/TSG.2022.3147370] 42. Harasis, S., Sozer, Y., & Elbuluk, M. (2021). Reliable islanded microgrid operation using dynamic optimal power management. IEEE Transactions on Industry Applications, 57(2), 1755-1766. [ DOI:10.1109/TIA.2020.3047587] 43. Salehi, N., Martínez-García, H., Velasco-Quesada, G., & Guerrero, J. M. (2022). A comprehensive review of control strategies and optimization methods for individual and community microgrids. IEEE Access, 10, 15935-15955. [ DOI:10.1109/ACCESS.2022.3142810] 44. Karimianfard, H., Salehizadeh, M. R., & Siano, P. (2022). Economic profit enhancement of a demand response aggregator through investment of large-scale energy storage systems. CSEE Journal of Power and Energy Systems, 8(5), 1468-1476. 45. Vilaisarn, Y., Rodrigues, Y. R., Abdelaziz, M. M. A., & Cros, J. (2022). A deep learning based multiobjective optimization for the planning of resilience-oriented microgrids in active distribution system. IEEE Access, 10, 84330-84364. [ DOI:10.1109/ACCESS.2022.3197194] 46. Reiz, C., & Leite, J. B. (2022). Optimal coordination of protection devices in distribution networks with distributed energy resources and microgrids. IEEE Access, 10, 99584-99594. [ DOI:10.1109/ACCESS.2022.3203713] 47. Vilaisarn, Y., Moradzadeh, M., Abdelaziz, M., & Cros, J. (2022). An MILP formulation for the optimum operation of AC microgrids with hierarchical control. International Journal of Electrical Power & Energy Systems, 137, 107674. [ DOI:10.1016/j.ijepes.2021.107674] 49. Singh, A., & Nguyen, H. D. (2022). A two-layer framework for optimal control of battery temperature and microgrid operation. Journal of Energy Storage, 50, 104057. [ DOI:10.1016/j.est.2022.104057] 50. Lakouraj, M. M., Shahabi, M., Shafie-khah, M., & Catalão, J. P. S. (2022). Optimal market-based operation of microgrid with the integration of wind turbines, energy storage system and demand response resources. Energy, 239, 122156. [ DOI:10.1016/j.energy.2021.122156] 52. Akulker, H., & Aydin, E. (2023). Optimal design and operation of a multi-energy microgrid using mixed-integer nonlinear programming: Impact of carbon cap and trade system and taxing on equipment selections. Applied Energy, 330, 120313. [ DOI:10.1016/j.apenergy.2022.120313] 54. Shokouhmand, E., & Ghasemi, A. (2022). Stochastic optimal scheduling of electric vehicles charge/discharge modes of operation with the aim of microgrid flexibility and efficiency enhancement. Sustainable Energy, Grids and Networks, 32, 100929. [ DOI:10.1016/j.segan.2022.100929] |
