Virtual-inertia-based power management scheme in fuel cell-battery-supercapacitor-based DC microgrid

References

• Benlahbib, B., N. Bouarroudj, S. Mekhilef, D. Abdeldjalil, T. Abdelkrim, F. Bouchafaa, and A. Lakhdari. 2020. Dahbi Abdeldjalil, Thameur Abdelkrim, Farid Bouchafaa, Abelkader lakhdari, experimental investigation of power management and control of a PV/wind/fuel cell/battery hybrid energy system microgrid. International Journal of Hydrogen Energy 45 (53):29110–29122. doi:10.1016/j.ijhydene.2020.07.251.
   Web of Science ®Google Scholar
• Biplob Hossain, M. B., M. R. Rabiul Islam, K. M. Muttaqi, D. Sutanto, and A. P. Agalgaonkar. 2022. Modeling and performance analysis of renewable hydrogen energy hub connected to an ac/dc hybrid microgrid. International Journal of Hydrogen Energy 47 (66):28626–44. doi:10.1016/j.ijhydene.2022.06.172.
   Web of Science ®Google Scholar
• Dhople, S. 2017. Control of low-inertia AC microgrids. 2017 51st Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA, pp. 1–2, doi: 10.1109/CISS.2017.7926115.
   Google Scholar
• Dragičević, T., X. Lu, J. C. Vasquez, and J. M. Guerrero. 2016. DC microgrids—part I: A review of control strategies and stabilization techniques. IEEE Transactions on Power Electronics 31 (7):4876–91. doi:10.1109/TPEL.2015.2478859.
   Web of Science ®Google Scholar
• Ferahtia, S., A. Djerioui, H. Rezk, A. Chouder, A. Houari, and M. Machmoum. 2022. Adaptive droop based control strategy for DC Microgrid including multiple batteries energy storage systems. Journal of Energy Storage 48:103983. doi:10.1016/j.est.2022.103983.
   Web of Science ®Google Scholar
• Fu, Z., H. Wang, F. Tao, B. Ji, Y. Dong, and S. Song. 2022. Energy management strategy for fuel Cell/Battery/Ultracapacitor hybrid electric vehicles using deep reinforcement learning with action trimming. IEEE Transactions on Vehicular Technology 71 (7):7171–7185. doi:10.1109/TVT.2022.3168870.
   Web of Science ®Google Scholar
• Fu, Z., L. Zhu, F. Tao, P. Si, and L. Sun. 2020. Optimization based energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle considering fuel economy and fuel cell lifespan. International Journal of Hydrogen Energy 45 (15):8875–8886. doi:10.1016/j.ijhydene.2020.01.017.
   Web of Science ®Google Scholar
• Han, Y., Y. Pu, Q. Li, W. Fu, W. Chen, Z. You, H. Liu, and H, Liu, 2019. Coordinated power control with virtual inertia for fuel cell-based DC microgrids cluster. International Journal of Hydrogen Energy 44 (46):25207–20. doi:10.1016/j.ijhydene.2019.06.128.
   Google Scholar
• Han, Y., H. Yang, Q. Li, W. Chen, F. Zare, and J. M. Guerrero. 2020. Mode-triggered droop method for the decentralized energy management of an islanded hybrid PV/hydrogen/battery DC microgrid. Energy 199:117441. doi:10.1016/j.energy.2020.117441.
   Web of Science ®Google Scholar
• Hirsch, A., Y. Parag, and J. Guerrero. 2018. Microgrids: A review of technologies, key drivers, and outstanding issues. Renewable and Sustainable Energy Reviews 90:402–411. doi:10.1016/j.rser.2018.03.040.
   Web of Science ®Google Scholar
• Hosseinipour, A., and H. Hojabri. 2018. Virtual inertia control of PV systems for dynamic performance and damping enhancement of DC microgrids with constant power loads. IET Renewable Power Generation 12 (4):430–438. doi:10.1049/iet-rpg.2017.0468.
   Web of Science ®Google Scholar
• Hou, L., J. Dong, O. E. Herrera, and W. Mérida. 2023. Energy management for solar-hydrogen microgrids with vehicle-to-grid and power-to-gas transactions. International Journal of Hydrogen Energy 48 (5):2013–2029. doi:10.1016/j.ijhydene.2022.09.238.
   Web of Science ®Google Scholar
• Im, W.-S., C. Wang, W. Liu, L. Liu, and J.-M. Kim. 2017. Distributed virtual inertia based control of multiple photovoltaic systems in autonomous microgrid. IEEE/CAA Journal of Automatica Sinica 4 (3):512–19. doi:10.1109/JAS.2016.7510031.
   Google Scholar
• Kamel, A. A., H. Rezk, and M. Ali Abdelkareem. 2021. Enhancing the operation of fuel cell-photovoltaic-battery-supercapacitor renewable system through a hybrid energy management strategy. International Journal of Hydrogen Energy 46 (8):6061–6075. doi:10.1016/j.ijhydene.2020.06.052.
   Web of Science ®Google Scholar
• Kharel, S., and B. Shabani. 2018. Hydrogen as a long-term large-scale energy storage solution to support renewables. Energies 11 (10):2825. doi:10.3390/en11102825.
   Web of Science ®Google Scholar
• Li, Q., L. Cai, L. Yin, T. Wang, L. Li, S. Xie, and W. Chen. 2023. An energy management strategy considering the economy and lifetime of multistack fuel cell hybrid system. IEEE Transactions on Transportation Electrification 9 (2):3498–507. doi:10.1109/TTE.2022.3218505.
   Web of Science ®Google Scholar
• Li, Q., W. Chen, Z. Liu, M. Li, and L. Ma. 2015. Development of energy management system based on a power sharing strategy for a fuel cell-battery-supercapacitor hybrid tramway. Journal of Power Sources 279:267–280. doi:10.1016/j.jpowsour.2014.12.042.
   Web of Science ®Google Scholar
• Li, Q., P. Liu, X. Meng, G. Zhang, Y. Ai, and W. Chen. 2022. Model prediction control-based energy management combining self-trending prediction and subset-searching algorithm for hydrogen electric multiple unit train. IEEE Transactions on Transportation Electrification 8 (2):2249–2260. doi:10.1109/TTE.2022.3149479.
   Web of Science ®Google Scholar
• Lin, G., J. Ma, Y. Li, C. Rehtanz, J. Liu, Z. Wang, P. Wang, and F. She. 2021. A Virtual Inertia and Damping Control to Suppress Voltage Oscillation in Islanded DC Microgrid. IEEE Transactions on Energy Conversion 36 (3):1711–21. doi:10.1109/TEC.2020.3039364.
   Web of Science ®Google Scholar
• Lin, R.-H., Y.-Y. Zhao, and B.-D. Wu. 2020. Toward a hydrogen society: Hydrogen and smart grid integration. International Journal of Hydrogen Energy 45 (39):20164–75. doi:10.1016/j.ijhydene.2020.01.047.
   Web of Science ®Google Scholar
• Li, Q., B. Su, Y. Pu, Y. Han, T. Wang, L. Yin, and W. Chen. 2019. A state machine control based on equivalent consumption minimization for fuel cell/supercapacitor hybrid tramway. IEEE Transactions on Transportation Electrification 5 (2):552–64. doi:10.1109/TTE.2019.2915689.
   Web of Science ®Google Scholar
• Li, Q., X. Xiao, Y. Pu, S. Luo, H. Liu, and W. Chen. 2023. Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy. Applied Energy 349:121670. doi:10.1016/j.apenergy.2023.121670.
   Web of Science ®Google Scholar
• Li, Q., L. Yin, H. Yang, T. Wang, Y. Qiu, and W. Chen. 2021. Multiobjective optimization and data-driven constraint adaptive predictive control for efficient and stable operation of PEMFC system. IEEE Transactions on Industrial Electronics 68 (12):12418–12429. doi:10.1109/TIE.2020.3040662.
   Web of Science ®Google Scholar
• Magdy, G., G. Shabib, A. A. Elbaset, and Y. Mitani. 2019. A novel coordination scheme of virtual inertia control and digital protection for microgrid dynamic security considering high renewable energy penetration. IET Renewable Power Generation 13 (3):462–474. doi:10.1049/iet-rpg.2018.5513.
   Web of Science ®Google Scholar
• Martínez, L., D. Fernández, and R. Mantz. 2023. Two layer control strategy of an island DC microgrid with hydrogen storage system. International Journal of Hydrogen Energy 50:365–78. doi:10.1016/j.ijhydene.2023.09.009.
   Web of Science ®Google Scholar
• Neto, P. J., T. A. Barros, J. P. C. Silveira, E. R. Filho, J. C. Vasquez, and J. M. Guerrero. 2020. Power management strategy based on virtual inertia for DC microgrids. IEEE Transactions on Power Electronics 35 (11):12472–85. doi:10.1109/TPEL.2020.2986283.
   Web of Science ®Google Scholar
• Niu, D., J. Fang, W. Yau, and S. M. Goetz. 2023. Comprehensive evaluation of energy storage systems for inertia emulation and frequency regulation improvement. Energy Reports 9:2566–76. doi:10.1016/j.egyr.2023.01.110.
   Web of Science ®Google Scholar
• Phan Van, L., K. Do Chi, and T. Nguyen Duc. 2023. Review of hydrogen technologies based microgrid: Energy management systems, challenges and future recommendations. International Journal of Hydrogen Energy 48 (38):14127–14148. doi:10.1016/j.ijhydene.2022.12.345.
   Web of Science ®Google Scholar
• Sedaghati, R., and M. Reza Shakarami. 2019. A novel control strategy and power management of hybrid PV/FC/SC/battery renewable power system-based grid-connected microgrid. Sustainable Cities and Society 44:830–843. doi:10.1016/j.scs.2018.11.014.
   Web of Science ®Google Scholar
• Tan, X., Q. Li, and H. Wang. 2013. Advances and trends of energy storage technology in microgrid. International Journal of Electrical Power & Energy Systems 44 (1):179–91. doi:10.1016/j.ijepes.2012.07.015.
   Web of Science ®Google Scholar
• Valverde, L., F. Rosa, C. Bordons, and J. Guerra. 2016. Energy management strategies in hydrogen smart-grids: A laboratory experience. International Journal of Hydrogen Energy 41 (31):13715–13725. doi:10.1016/j.ijhydene.2016.05.279.
   Web of Science ®Google Scholar
• Veysi, M., J. Aghaei, M. R. Soltanpour, M. Shasadeghi, B. Bahrani, and D. J. Ryan. 2022. Robust, accurate, and fast decentralized power sharing mechanism for isolated DC microgrid using droop-based sliding-mode control. IEEE Transactions on Smart Grid 13 (6):4160–4173. doi:10.1109/TSG.2022.3181494.
   Web of Science ®Google Scholar
• Wang, Z., F. Zhuo, H. Yi, J. Wu, F. Wang, and Z. Zeng. 2019. Analysis of dynamic frequency performance among voltage-controlled inverters considering virtual inertia interaction in microgrid. IEEE Transactions on Industry Applications 55 (4):4135–44. doi:10.1109/TIA.2019.2910784.
   Web of Science ®Google Scholar
• Wu, W., Y. Chen, A. Luo, L. Zhou, X. Zhou, L. Yang, Y. Dong, and J. M. Guerrero. 2017. A virtual inertia control strategy for DC microgrids analogized with virtual synchronous machines. IEEE Transactions on Industrial Electronics 64 (7):6005–16. doi:10.1109/TIE.2016.2645898.
   Web of Science ®Google Scholar
• Xing, W., H. Wang, L. Lu, X. Han, K. Sun, and M. Ouyang. 2021. An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids. Energy 233:121155. doi:10.1016/j.energy.2021.121155.
   Web of Science ®Google Scholar
• Xu, Q., Y. Xu, C. Zhang, and P. Wang. 2020. A robust droop-based autonomous controller for decentralized power sharing in DC microgrid considering large-signal stability. IEEE Transactions on Industrial Informatics 16 (3):1483–94. doi:10.1109/TII.2019.2950208.
   Web of Science ®Google Scholar
• Yang, Y., C. Li, J. Xu, F. Blaabjerg, and T. Dragičević. 2021. Virtual inertia control strategy for improving damping performance of DC microgrid with negative feedback effect. IEEE Journal of Emerging and Selected Topics in Power Electronics 9 (2):1241–1257. doi:10.1109/JESTPE.2020.2998812.
   Web of Science ®Google Scholar
• Zhang, H., X. Tong, L. Zhang, and F. Hui. 2023. Fast state-of-charge balancing control strategies for battery energy storage systems to maximize capacity utilization. Journal of Energy Storage 57:106269. doi:10.1016/j.est.2022.106269.
   Web of Science ®Google Scholar
• Zhang, Y., and W. Wei. 2020. Model construction and energy management system of lithium battery, PV generator, hydrogen production unit and fuel cell in islanded AC microgrid. International Journal of Hydrogen Energy 45 (33):16381–16397. doi:10.1016/j.ijhydene.2020.04.155.
   Web of Science ®Google Scholar
• Zhu, X., Z. Xie, S. Jing, and H. Ren. 2018. Distributed virtual inertia control and stability analysis of dc microgrid. IET Generation, Transmission and Distribution 12 (14):3477–86. doi:10.1049/iet-gtd.2017.1520.
   Web of Science ®Google Scholar