A Hybrid Approach for Power Flow Management in Smart Grid Connected System

REFERENCES

• S. Rauf, and N. Khan, “Application of DC–AC hybrid grid and solar photovoltaic generation with battery storage using smart grid,” Int. J. Photoenergy, Vol. 2017, pp. 1–16, 2017. Available: 10.1155/2017/6736928.
   Web of Science ®Google Scholar
• S. Koko, K. Kusakana, and H. Vermaak, “Energy flow modeling between grid and micro-hydrokinetic-pumped hydro storage hybrid system,” in 2017 International Conference on the Industrial and Commercial Use of Energy (ICUE), 2017. Available: 10.23919/icue.2017.8067985 [Accessed 3 December 2020].
   Google Scholar
• P. Rajesh, and F. H. Shajin, “A multi-objective hybrid algorithm for planning electrical distribution system,” Eur. J. Electr. Eng., Vol. 22, no. 4–5, pp. 224–509, 2020. doi:10.18280/ejee.224-509.
   Google Scholar
• P. Chaudhary, and M. Rizwan, “Energy management supporting high penetration of solar photovoltaic generation for smart grid using solar forecasts and pumped hydro storage system,” Renew Energy, Vol. 118, pp. 928–946, 2018. Available: 10.1016/j.renene.2017.10.113.
   Web of Science ®Google Scholar
• C. Ghenai, T. Salameh, and A. Merabet, “Technico-economic analysis of off grid solar PV/fuel cell energy system for residential community in desert region,” Int.J. Hydrogen Energy, Vol. 45, no. 20, pp. 11460–11470, 2020. Available: 10.1016/j.ijhydene.2018.05.110.
   Web of Science ®Google Scholar
• M. Masaki, L. Zhang, and X. Xia, “Hierarchical power flow control of a grid-tied photovoltaic plant using a battery-supercapacitor energy storage system,” Energy Proc, Vol. 145, pp. 32–37, 2018. Available: 10.1016/j.egypro.2018.04.007.
   Google Scholar
• A. Elgammal, and M. El-Naggar, “Energy management in smart grids for the integration of hybrid wind–PV–FC–battery renewable energy resources using multi-objective particle swarm optimisation (MOPSO),” J. Eng., Vol. 2018, no. 11, pp. 1806–1816, 2018. Available: 10.1049/joe.2018.5036.
   Google Scholar
• P. Srikantha, and D. Kundur, “Hierarchical signal Processing for tractable power flow management in electric grid networks,” IEEE Trans. Signal Inform. Process.r Netw, Vol. 5, no. 1, pp. 86–99, 2019. Available: 10.1109/tsipn.2018.2858750.
   Web of Science ®Google Scholar
• M. Et-Taoussi, H. Ouadi, and H. Chakir, “Hybrid optimal management of active and reactive power flow in a smart microgrid with photovoltaic generation,” Microsyst. Technol., Vol. 25, no. 11, pp. 4077–4090, 2019. Available: 10.1007/s00542-019-04354-x.
   Web of Science ®Google Scholar
• R. Lingamuthu, and R. Mariappan, “Power flow control of grid connected hybrid renewable energy system using hybrid controller with pumped storage,” Int. J. Hydrogen Energy, Vol. 44, no. 7, pp. 3790–3802, 2019. Available: 10.1016/j.ijhydene.2018.12.092.
   Web of Science ®Google Scholar
• Q. Peng, A. Sangwongwanich, Y. Yang, and F. Blaabjerg, “Grid-friendly power control for smart photovoltaic systems,” Sol. Energy, Vol. 210, pp. 115–127, 2020. Available: 10.1016/j.solener.2020.05.001.
   Web of Science ®Google Scholar
• S. M. Mahmoudi, A. Maleki, and D. R. Ochbelagh, “Optimization of a hybrid energy system with/without considering back-up system by a new technique based on fuzzy logic controller,” Energy Convers. Manage., Vol. 229, no. 1, pp. 113723. doi: 10.1016/j.enconman.2020.113723.
   Google Scholar
• W. Zhang, A. Maleki, A. K. Birjandi, M. Alhuyi Nazari, and O. Mohammadi, “Discrete optimization Algorithm for optimal design of a solar/wind/battery hybrid Energy Conversion scheme,” Int. J. Low-Carbon Technol. (2020. doi:10.1093/ijlct/ctaa067.
   Web of Science ®Google Scholar
• G. Zhang, Y. Shi, A. Maleki, and M. A. Rosen, “Optimal location and size of a grid-independent solar/hydrogen system for rural areas using an efficient heuristic approach,” Renew Energy, Vol. 156, pp. 1203–1214, 2020. doi:10.1016/j.renene.2020.04.010.
   Web of Science ®Google Scholar
• A. Maleki, M. A. Nazari, and F. Pourfayaz, “Harmony search optimization for optimum sizing of hybrid solar schemes based on battery storage unit,” Energy Reports (2020. doi:10.1016/j.egyr.2020.03.014.
   Web of Science ®Google Scholar
• W. Cai, X. Li, A. Maleki, F. Pourfayaz, M. A. Rosen, M. A. Nazari, and D. T. Bui, “Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology,” Energy, Vol. 201, pp. 117480, 2020. doi:10.1016/j.energy.2020.117480c.
   Web of Science ®Google Scholar
• A. Hajizadeh, and M. Golkar, “Intelligent power management strategy of hybrid distributed generation system,” Int. J. Electr. Power Energy Syst., Vol. 29, no. 10, pp. 783–795, 2007. Available: 10.1016/j.ijepes.2007.06.025.
   Web of Science ®Google Scholar
• J. Quiroz, N. Mariun, M. Mehrjou, M. Izadi, N. Misron, and M. MohdRadzi, “Fault detection of broken rotor bar in LS-PMSM using random forests,” Measurement (Mahwah. NJ), Vol. 116, pp. 273–280, 2018. Available: 10.1016/j.measurement.2017.11.004.
   Google Scholar
• S. W. Zhao, Z. Zhang, and L. Wang, “Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications,” Eng. Appl. Artif. Intell., Vol. 87, pp. 103300, 2020. Available: 10.1016/j.engappai.2019.103300.
   Web of Science ®Google Scholar
• A. Đorđević, and Ž Đurišić, “General mathematical model for the calculation of economic cross sections of cables for wind farms collector systems,” IET Renew. Power Gener., Vol. 12, no. 8, pp. 901–909, 2018. Available: 10.1049/iet-rpg.2017.0420.
   Web of Science ®Google Scholar