1. AkbaiZadeh, M., Niknam, T., & Kavousi-Fard, A. Adaptive robust optimization for the energy management of the grid-connected energy hubs based on hybrid meta-heuristic algorithm. Energy, 235, 121171, 2021. [ DOI:10.1016/j.energy.2021.121171] 2. Askarzadeh, A. A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. Computers & structures, 169, 1-12, 2016. [ DOI:10.1016/j.compstruc.2016.03.001] 3. Asl, S. A. F., Bagherzadeh, L., Pirouzi, S., Norouzi, M., & Lehtonen, M. A new two-layer model for energy management in the smart distribution network containing flexi-renewable virtual power plant. Electric Power Systems Research, 194, 107085, 2021. [ DOI:10.1016/j.epsr.2021.107085] 4. Bozorgavari, S. A., Aghaei, J., Pirouzi, S., Vahidinasab, V., Farahmand, H., & Korpås, M. Two-stage hybrid stochastic/robust optimal coordination of distributed battery storage planning and flexible energy management in smart distribution network. Journal of Energy Storage, 26, 100970, 2019. [ DOI:10.1016/j.est.2019.100970] 5. Chen, H., Yu, Y., & Jiang, X. Optimal scheduling of combined heat and power units with heat storage for the improvement of wind power integration. Paper presented at the 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2016. [ DOI:10.1109/APPEEC.2016.7779742] 6. Chowdhury, S., Chowdhury, S. P., & Crossley, P. Microgrids and active distribution networks, 2022. 7. Dini, A., Pirouzi, S., Norouzi, M., & Lehtonen, M. Grid-connected energy hubs in the coordinated multi-energy management based on day-ahead market framework. Energy, 188, 116055, 2019. [ DOI:10.1016/j.energy.2019.116055] 8. Dini, A., Pirouzi, S., Norouzi, M., & Lehtonen, M. Hybrid stochastic/robust scheduling of the grid-connected microgrid based on the linear coordinated power management strategy. Sustainable Energy, Grids and Networks, 24, 100400, 2020. [ DOI:10.1016/j.segan.2020.100400] 9. Faraji, E., Abbasi, A. R., Nejatian, S., Zadehbagheri, M., & Parvin, H. Planning and Operation of the Active and Reactive sources Constrained to Voltage Security in the Reconfigurable Smart Distribution Network. Energy Engineering & Management, 12(1), 0-0, 2022. 10. Ghasemi, S., & Moshtagh, J. Radial distribution systems reconfiguration considering power losses cost and damage cost due to power supply interruption of consumers. International Journal on Electrical Engineering & Informatics, 5(3), 2013. [ DOI:10.15676/ijeei.2013.5.3.5] 11. Homayoun, R., Bahmani‐Firouzi, B., & Niknam, T. Multi‐objective operation of distributed generations and thermal blocks in microgrids based on energy management system. IET Generation, Transmission & Distribution, 15(9), 1451-1462, 2021. [ DOI:10.1049/gtd2.12112] 12. Hooshmand, E., & Rabiee, A. Robust model for optimal allocation of renewable energy sources, energy storage systems and demand response in distribution systems via information gap decision theory. IET Generation, Transmission & Distribution, 13(4), 511-520, 2019. [ DOI:10.1049/iet-gtd.2018.5671] 13. Jithendranath, J., & Das, D. Scenario-based multi-objective optimisation with loadability in islanded microgrids considering load and renewable generation uncertainties. IET Renewable Power Generation, 13(5), 785-800, 2019. [ DOI:10.1049/iet-rpg.2018.5795] 14. Kallrath, J. Algebraic Modeling Systems: Modeling and Solving Real World Optimization Problems, Springer Science & Business Media, 2012. [ DOI:10.1007/978-3-642-23592-4] 15. Kiani, H., Hesami, K., Azarhooshang, A., Pirouzi, S., & Safaee, S. Adaptive robust operation of the active distribution network including renewable and flexible sources. Sustainable Energy, Grids and Networks, 26, 100476, 22021. [ DOI:10.1016/j.segan.2021.100476] 16. Najy, W. K., Zeineldin, H. H., & Woon, W. L. Optimal protection coordination for microgrids with grid-connected and islanded capability. IEEE Transactions on industrial electronics, 60(4), 1668-1677, 2012. [ DOI:10.1109/TIE.2012.2192893] 17. Nikolova, S., Causevski, A., & Al-Salaymeh, A. Optimal operation of conventional power plants in power system with integrated renewable energy sources. Energy Conversion and Management, 65, 697-703, 2013. [ DOI:10.1016/j.enconman.2011.11.035] 18. Norouzi, M., Aghaei, J., Niknam, T., Pirouzi, S., & Lehtonen, M. Bi-level fuzzy stochastic-robust model for flexibility valorizing of renewable networked microgrids. Sustainable Energy, Grids and Networks, 31, 100684, 2022. [ DOI:10.1016/j.segan.2022.100684] 19. Norouzi, M., Aghaei, J., Pirouzi, S., Niknam, T., & Fotuhi-Firuzabad, M. Flexibility pricing of integrated unit of electric spring and EVs parking in microgrids. Energy, 239, 122080, 2022. [ DOI:10.1016/j.energy.2021.122080] 20. Norouzi, M., Aghaei, J., Pirouzi, S., Niknam, T., Fotuhi-Firuzabad, M., & Shafie-khah, M. Hybrid stochastic/robust flexible and reliable scheduling of secure networked microgrids with electric springs and electric vehicles. Applied Energy, 300, 117395, 2021. [ DOI:10.1016/j.apenergy.2021.117395] 21. Patnam, B. S. K., & Pindoriya, N. M. Centralized stochastic energy management framework of an aggregator in active distribution network. IEEE Transactions on Industrial Informatics, 15(3), 1350-1360, 2018. [ DOI:10.1109/TII.2018.2854744] 22. Pirouzi, S., Aghaei, J., Niknam, T., Khooban, M. H., Dragicevic, T., Farahmand, H., Blaabjerg, F. Power conditioning of distribution networks via single-phase electric vehicles equipped. IEEE Systems Journal, 13(3), 3433-3442, 2019. [ DOI:10.1109/JSYST.2019.2896408] 23. Roustaee, M., & Kazemi, A. Multi-objective energy management strategy of unbalanced multi-microgrids considering technical and economic situations. Sustainable Energy Technologies and Assessments, 47, 101448, 2021a. [ DOI:10.1016/j.seta.2021.101448] 24. Roustaee, M., & Kazemi, A. Multi-objective stochastic operation of multi-microgrids constrained to system reliability and clean energy based on energy management system. Electric Power Systems Research, 194, 106970, 2021b. [ DOI:10.1016/j.epsr.2020.106970] 25. Sarwagya, K., Nayak, P. K., & Ranjan, S. Optimal coordination of directional overcurrent relays in complex distribution networks using sine cosine algorithm. Electric Power Systems Research, 187, 106435, 2020. [ DOI:10.1016/j.epsr.2020.106435] 26. Xie, D., Lu, Y., Sun, J., Gu, C., & Li, G. Optimal operation of a combined heat and power system considering real-time energy prices. IEEE Access, 4, 3005-3015, 2016. [ DOI:10.1109/ACCESS.2016.2580918] 27. Yu, Y., Cai, Z., & Huang, Y. Energy storage arbitrage in grid-connected micro-grids under real-time market price uncertainty: A double-q learning approach. IEEE Access, 8, 54456-54464 , 2020. [ DOI:10.1109/ACCESS.2020.2981543] 28. AkbaiZadeh, M., Niknam, T., & Kavousi-Fard, A. Adaptive robust optimization for the energy management of the grid-connected energy hubs based on hybrid meta-heuristic algorithm. Energy, 235, 121171, 2021. [ DOI:10.1016/j.energy.2021.121171] 29. Askarzadeh, A. A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. Computers & structures, 169, 1-12, 2016. [ DOI:10.1016/j.compstruc.2016.03.001] 30. Asl, S. A. F., Bagherzadeh, L., Pirouzi, S., Norouzi, M., & Lehtonen, M. A new two-layer model for energy management in the smart distribution network containing flexi-renewable virtual power plant. Electric Power Systems Research, 194, 107085, 2021. [ DOI:10.1016/j.epsr.2021.107085] 31. Bozorgavari, S. A., Aghaei, J., Pirouzi, S., Vahidinasab, V., Farahmand, H., & Korpås, M. Two-stage hybrid stochastic/robust optimal coordination of distributed battery storage planning and flexible energy management in smart distribution network. Journal of Energy Storage, 26, 100970, 2019. [ DOI:10.1016/j.est.2019.100970] 32. Chen, H., Yu, Y., & Jiang, X. Optimal scheduling of combined heat and power units with heat storage for the improvement of wind power integration. Paper presented at the 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2016. [ DOI:10.1109/APPEEC.2016.7779742] 33. Chowdhury, S., Chowdhury, S. P., & Crossley, P. Microgrids and active distribution networks, 2022. 34. Dini, A., Pirouzi, S., Norouzi, M., & Lehtonen, M. Grid-connected energy hubs in the coordinated multi-energy management based on day-ahead market framework. Energy, 188, 116055, 2019. [ DOI:10.1016/j.energy.2019.116055] 35. Dini, A., Pirouzi, S., Norouzi, M., & Lehtonen, M. Hybrid stochastic/robust scheduling of the grid-connected microgrid based on the linear coordinated power management strategy. Sustainable Energy, Grids and Networks, 24, 100400, 2020. [ DOI:10.1016/j.segan.2020.100400] 36. Faraji, E., Abbasi, A. R., Nejatian, S., Zadehbagheri, M., & Parvin, H. Planning and Operation of the Active and Reactive sources Constrained to Voltage Security in the Reconfigurable Smart Distribution Network. Energy Engineering & Management, 12(1), 0-0, 2022. 37. Ghasemi, S., & Moshtagh, J. Radial distribution systems reconfiguration considering power losses cost and damage cost due to power supply interruption of consumers. International Journal on Electrical Engineering & Informatics, 5(3), 2013. [ DOI:10.15676/ijeei.2013.5.3.5] 38. Homayoun, R., Bahmani‐Firouzi, B., & Niknam, T. Multi‐objective operation of distributed generations and thermal blocks in microgrids based on energy management system. IET Generation, Transmission & Distribution, 15(9), 1451-1462, 2021. [ DOI:10.1049/gtd2.12112] 39. Hooshmand, E., & Rabiee, A. Robust model for optimal allocation of renewable energy sources, energy storage systems and demand response in distribution systems via information gap decision theory. IET Generation, Transmission & Distribution, 13(4), 511-520, 2019. [ DOI:10.1049/iet-gtd.2018.5671] 40. Jithendranath, J., & Das, D. Scenario-based multi-objective optimisation with loadability in islanded microgrids considering load and renewable generation uncertainties. IET Renewable Power Generation, 13(5), 785-800, 2019. [ DOI:10.1049/iet-rpg.2018.5795] 41. Kallrath, J. Algebraic Modeling Systems: Modeling and Solving Real World Optimization Problems, Springer Science & Business Media, 2012. [ DOI:10.1007/978-3-642-23592-4] 42. Kiani, H., Hesami, K., Azarhooshang, A., Pirouzi, S., & Safaee, S. Adaptive robust operation of the active distribution network including renewable and flexible sources. Sustainable Energy, Grids and Networks, 26, 100476, 22021. [ DOI:10.1016/j.segan.2021.100476] 43. Najy, W. K., Zeineldin, H. H., & Woon, W. L. Optimal protection coordination for microgrids with grid-connected and islanded capability. IEEE Transactions on industrial electronics, 60(4), 1668-1677, 2012. [ DOI:10.1109/TIE.2012.2192893] 44. Nikolova, S., Causevski, A., & Al-Salaymeh, A. Optimal operation of conventional power plants in power system with integrated renewable energy sources. Energy Conversion and Management, 65, 697-703, 2013. [ DOI:10.1016/j.enconman.2011.11.035] 45. Norouzi, M., Aghaei, J., Niknam, T., Pirouzi, S., & Lehtonen, M. Bi-level fuzzy stochastic-robust model for flexibility valorizing of renewable networked microgrids. Sustainable Energy, Grids and Networks, 31, 100684, 2022. [ DOI:10.1016/j.segan.2022.100684] 46. Norouzi, M., Aghaei, J., Pirouzi, S., Niknam, T., & Fotuhi-Firuzabad, M. Flexibility pricing of integrated unit of electric spring and EVs parking in microgrids. Energy, 239, 122080, 2022. [ DOI:10.1016/j.energy.2021.122080] 47. Norouzi, M., Aghaei, J., Pirouzi, S., Niknam, T., Fotuhi-Firuzabad, M., & Shafie-khah, M. Hybrid stochastic/robust flexible and reliable scheduling of secure networked microgrids with electric springs and electric vehicles. Applied Energy, 300, 117395, 2021. [ DOI:10.1016/j.apenergy.2021.117395] 48. Patnam, B. S. K., & Pindoriya, N. M. Centralized stochastic energy management framework of an aggregator in active distribution network. IEEE Transactions on Industrial Informatics, 15(3), 1350-1360, 2018. [ DOI:10.1109/TII.2018.2854744] 49. Pirouzi, S., Aghaei, J., Niknam, T., Khooban, M. H., Dragicevic, T., Farahmand, H., Blaabjerg, F. Power conditioning of distribution networks via single-phase electric vehicles equipped. IEEE Systems Journal, 13(3), 3433-3442, 2019. [ DOI:10.1109/JSYST.2019.2896408] 50. Roustaee, M., & Kazemi, A. Multi-objective energy management strategy of unbalanced multi-microgrids considering technical and economic situations. Sustainable Energy Technologies and Assessments, 47, 101448, 2021a. [ DOI:10.1016/j.seta.2021.101448] 51. Roustaee, M., & Kazemi, A. Multi-objective stochastic operation of multi-microgrids constrained to system reliability and clean energy based on energy management system. Electric Power Systems Research, 194, 106970, 2021b. [ DOI:10.1016/j.epsr.2020.106970] 52. Sarwagya, K., Nayak, P. K., & Ranjan, S. Optimal coordination of directional overcurrent relays in complex distribution networks using sine cosine algorithm. Electric Power Systems Research, 187, 106435, 2020. [ DOI:10.1016/j.epsr.2020.106435] 53. Xie, D., Lu, Y., Sun, J., Gu, C., & Li, G. Optimal operation of a combined heat and power system considering real-time energy prices. IEEE Access, 4, 3005-3015, 2016. [ DOI:10.1109/ACCESS.2016.2580918] 54. Yu, Y., Cai, Z., & Huang, Y. Energy storage arbitrage in grid-connected micro-grids under real-time market price uncertainty: A double-q learning approach. IEEE Access, 8, 54456-54464 , 2020. [ DOI:10.1109/ACCESS.2020.2981543] |
