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International Journal of Renewable, Green, and Sustainable Energy

Open Access Peer Review International
Open Access

OPTIMIZING GRID-CONNECTED SMART HYBRID RENEWABLE ENERGY SYSTEMS: A FEASIBILITY ANALYSIS ACROSS DIVERSE CLIMATIC ZONES

DOI https://doi.org/10.55640/
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Dr. Priya Deshmukh 1 , Dr. Luca Benedetti 1 , Maria Fernanda Rojas 1 ,
4 Centre for Energy Studies, Indian Institute of Technology Delhi, New Delhi, India
4 Department of Electrical Energy Systems, Politecnico di Milano, Milan, Italy
4 Department of Electrical Energy Systems, Politecnico di Milano, Milan, Italy

Abstract

The global energy landscape is undergoing a significant transformation, driven by concerns over climate change and the depletion of fossil fuels. Hybrid renewable energy systems (HRES), combining sources like solar photovoltaic (PV) and wind power with energy storage, offer a promising solution to enhance energy security and reduce carbon emissions. When integrated with smart grid technologies and connected to the main grid, these systems can provide reliable, sustainable, and economically viable power. This article presents a detailed feasibility analysis of grid-tied smart HRES through optimal sizing under various weather conditions. It reviews existing methodologies, discusses critical components and objective functions, and highlights the application of meta-heuristic optimization algorithms to achieve cost-effective and reliable system designs. The findings emphasize the crucial role of accurate resource assessment and robust optimization techniques in realizing the full potential of these advanced energy systems across diverse climatic zones.

Keywords

Smart hybrid energy systems;, grid-connected systems, renewable energy integration

References

M. D. A. Al-Falahi, S. D. G. Jayasinghe, and H. Enshaei, “A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system”, Energy Conversion and Management, vol. 143. Elsevier Ltd, pp. 252–274, 2017. doi: 10.1016/j.enconman.2017.04.019.
S. M. S. Hosseinimoghadam, H. Roghanian, M. Dashtdar, and S. M. Razavi, “Size optimization of distributed generation resources in microgrid based on scenario tree”, in 2020 8th International Conference on Smart Grid (icSmartGrid), 2020, pp. 67–72. doi: 10.1109/icSmartGrid49881.2020.9144968.
“International Energy Agency.” https://www.iea.org/reports/world-energy-outlook-2021/executive-summary (accessed Aug. 24, 2023).
M. H. Balali, N. Nouri, E. Omrani, A. Nasiri, and W. Otieno, “An overview of the environmental, economic, and material developments of the solar and wind sources coupled with the energy storage systems”, Int. J. Energy Res., vol. 41, no. 14, pp. 1948–1962, 2017.
M. Nasser, T. F. Megahed, S. Ookawara, and H. Hassan, “Techno-economic assessment of clean hydrogen production and storage using hybrid renewable energy system of PV/wind under different climatic conditions”, Sustain. Energy Technol. Assessments, vol. 52, pp. 1–14, 2022, doi: 10.1016/j.seta.2022.102195.
M. M. Gamil, T. Senjyu, H. Takahashi, A. M. Hemeida, N. Krishna, and M. E. Lotfy, “Optimal multi-objective sizing of a residential microgrid in Egypt with different ToU demand response percentages”, Sustain. Cities Soc., vol. 75, pp. 1–16, 2021, doi: 10.1016/j.scs.2021.103293.
M. Stadler, G. Cardoso, S. Mashayekh, T. Forget, N. DeForest, A. Agarwal, and A. Schönbein, “Value streams in microgrids: A literature review”, Appl. Energy, vol. 162, pp. 980–989, 2016, doi: 10.1016/j.apenergy.2015.10.081.
M. Abdelsattar, I. Hamdan, A. Mesalam, and A. Fawzi, “An overview of smart grid technology ?ntegration with hybrid energy systems based on demand response”, in 2022 23rd International Middle East Power Systems Conference (MEPCON), IEEE, 2022, pp. 1–6.
H. Yang, W. Zhou, L. Lu, and Z. Fang, “Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm”, Sol. Energy, vol. 82, no. 4, pp. 354–367, 2008, doi: 10.1016/j.solener.2007.08.005.
S. Sanajaoba and E. Fernandez, “Maiden application of Cuckoo Search algorithm for optimal sizing of a remote hybrid renewable energy System”, Renew. Energy, vol. 96, pp. 1–10, Oct. 2016, doi: 10.1016/j.renene.2016.04.069.
O. Ekren and B. Y. Ekren, “Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing”, Appl. Energy, vol. 87, no. 2, pp. 592–598, 2010, doi: 10.1016/j.apenergy.2009.05.021.
H. Sun, A. G. Ebadi, M. Toughani, S. A. Nowdeh, A. Naderipour, and A. Abdullah, “Designing framework of hybrid photovoltaic-biowaste energy system with hydrogen storage considering economic and technical indices using whale optimization algorithm”, Energy, vol. 238, 2022, doi: https://doi.org/10.1016/j.energy.2021.121555.
D. K. Geleta, M. S. Manshahia, P. Vasant, and A. Banik, “Grey wolf optimizer for optimal sizing of hybrid wind and solar renewable energy system”, Comput. Intell., vol. 38, no. 3, pp. 1133–1162, 2022, doi: 10.1111/coin.12349.
W. Zhu, J. Guo, G. Zhao, and B. Zeng, “Optimal sizing of an island hybrid microgrid based on improved multi-objective grey wolf optimizer”, Processes, vol. 8, no. 12, pp. 1–24, 2020, doi: 10.3390/pr8121581.
S. Mishra, G. Saini, A. Chauhan, S. Upadhyay, and D. Balakrishnan, “Optimal sizing and assessment of grid-tied hybrid renewable energy system for electrification of rural site”, Renew. Energy Focus, vol. 44, pp. 259–276, 2023, doi: https://doi.org/10.1016/j.ref.2022.12.009.
F. S. Mahmoud, A. M. Abdelhamid, A. Al Sumaiti, A. H. M. El-Sayed, and A. A. Z. Diab, “Sizing and Design of a PV-Wind-Fuel Cell Storage System Integrated into a Grid Considering the Uncertainty of Load Demand Using the Marine Predators Algorithm”, Mathematics, vol. 10, no. 19, 2022, doi: 10.3390/math10193708.
G. Lei, H. Song, and D. Rodriguez, “Power generation cost minimization of the grid-connected hybrid renewable energy system through optimal sizing using the modified seagull optimization technique”, Energy Reports, vol. 6, pp. 3365–3376, 2020.
S. Barakat, M. M. Samy, M. B. Eteiba, and W. I. Wahba, “Viability study of grid connected PV/Wind/Biomass hybrid energy system for a small village in Egypt”, 2016 18th Int. Middle-East Power Syst. Conf. MEPCON 2016 - Proc., pp. 46–51, 2017, doi: 10.1109/MEPCON.2016.7836870.
A. A. Z. Diab, H. M. Sultan, and O. N. Kuznetsov, “Optimal sizing of hybrid solar/wind/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques”, doi: 10.1007/s11356-019-06566-0/Published.
V. K. Garg and S. Sharma, “Optimum sizing and economic assessment of hybrid microgrid for domestic load under various scenario”, Int. J. Renew. Energy Res., vol. 11, no. 1, pp. 235–246, 2021, doi: 10.20508/ijrer.v11i1.11760.g8128.
S. S. Yusuf and N. N. Mustafi, “Design and simulation of an optimal mini-grid solar-diesel hybrid power generation system in a remote Bangladesh”, Int. J. Smart grid, vol. 2, no. 1, 2018, doi: 10.20508/ijsmartgrid.v2i1.7.g8.
G. Gursoy and M. Baysal, “Improved optimal sizing of hybrid PV/wind/battery energy systems”, 3rd Int. Conf. Renew. Energy Res. Appl. ICRERA 2014, no. 2, pp. 713–716, 2014, doi: 10.1109/ICRERA.2014.7016478.
F. S. Mahmoud, A. A. Zaki Diab, Z. M. Ali, A. M. El-Sayed, T. Alquthami, M. Ahmed, and H. A. Ramadan, “Optimal sizing of smart hybrid renewable energy system using different optimization algorithms”, Energy Reports, vol. 8, pp. 4935–4956, 2022, doi: 10.1016/j.egyr.2022.03.197.
F. M. Wulfran, D. Naoussi, S. Raoul, M. Reagan, and J. Jacques, “A technical analysis of a grid-connected hybrid renewable energy system under meteorological constraints for a timely energy management”, Int. J. Smart grid, vol. 7, no. V7i2, 2023, doi: 10.20508/ijsmartgrid.v7i2.278.g260.
A. F. GĂŒven, N. YörĂŒkeren, and M. M. Samy, “Design optimization of a stand-alone green energy system of university campus based on Jaya-Harmony Search and Ant Colony Optimization algorithms approaches”, Energy, vol. 253, Aug. 2022, doi: 10.1016/j.energy.2022.124089.
J. Zhou and Z. Xu, “Optimal sizing design and integrated cost-benefit assessment of stand-alone microgrid system with different energy storage employing chameleon swarm algorithm: A rural case in Northeast China”, Renew. Energy, vol. 202, pp. 1110–1137, Jan. 2023, doi: 10.1016/j.renene.2022.12.005.
R. Khezri, A. Mahmoudi, and M. H. Haque, “Optimal capacity of solar PV and battery storage for australian grid-connected households”, IEEE Trans. Ind. Appl., vol. 56, no. 5, pp. 5319–5329, 2020, doi: 10.1109/TIA.2020.2998668.
A. S. Al-Buraiki and A. Al-Sharafi, “Hydrogen production via using excess electric energy of an off-grid hybrid solar/wind system based on a novel performance indicator”, Energy Convers. Manag., vol. 254, Feb. 2022, doi: 10.1016/j.enconman.2022.115270.
S. Singh, P. Chauhan, and N. J. Singh, “Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm”, Int. J. Hydrogen Energy, vol. 45, no. 16, pp. 10070–10088, 2020, doi: 10.1016/j.ijhydene.2020.02.019.
A. A. Zaki Diab, S. I. El-Ajmi, H. M. Sultan, and Y. B. Hassan, “Modified farmland fertility optimization algorithm for optimal design of a grid-connected hybrid renewable energy system with fuel cell storage: Case study of Ataka, Egypt”, Int. J. Adv. Comput. Sci. Appl., vol. 10, no. 8, pp. 119–132, 2019.
M. Nurunnabi, N. K. Roy, and H. R. Pota, “Optimal sizing of grid-tied hybrid renewable energy systems considering inverter to PV ratio - A case study”, J. Renew. Sustain. Energy, vol. 11, no. 1, 2019, doi: 10.1063/1.5052492.
I. M. Opedare, T. M. Adekoya, and A. E. Longe, “Optimal sizing of hybrid renewable energy system for off-grid electrification: a case study of university of Ibadan Abdusalam Abubakar Post Graduate Hall of Residence”, Int. J. Smart grid, vol. 4, no. 4, 2020, doi: 10.20508/ijsmartgrid.v4i4.135.g110.
A. M. Eltamaly, M. A. Mohamed, and A. I. Alolah, “A novel smart grid theory for optimal sizing of hybrid renewable energy systems”, Sol. Energy, vol. 124, pp. 26–38, Feb. 2016, doi: 10.1016/j.solener.2015.11.016.
H. N. Afrouzi, A. Hassan, Y. P. Wimalaratna, J. Ahmed, K. Mehranzamir, S. C. Liew, and Z. Abdul Malek, “Sizing and economic analysis of stand-alone hybrid photovoltaic-wind system for rural electrification: A case study Lundu, Sarawak”, Clean. Eng. Technol., vol. 4, Oct. 2021, doi: 10.1016/j.clet.2021.100191.
A. Maleki and F. Pourfayaz, “Optimal sizing of autonomous hybrid photovoltaic/wind/battery power system with LPSP technology by using evolutionary algorithms”, Sol. Energy, vol. 115, pp. 471–483, 2015, doi: 10.1016/j.solener.2015.03.004.
S. A. Mohamed and M. Abd El Sattar, “A comparative study of P&O and INC maximum power point tracking techniques for grid-connected PV systems”, SN Appl. Sci., vol. 1, no. 2, pp. 1–13, 2019, doi: 10.1007/s42452-018-0134-4.
S. Singh and S. C. Kaushik, “Optimal sizing of grid integrated hybrid PV-biomass energy system using artificial bee colony algorithm”, IET Renew. Power Gener., vol. 10, no. 5, pp. 642–650, 2016, doi: 10.1049/iet-rpg.2015.0298.
E. E. E. Ahmed, A. Demirci, and S. M. Tercan, “Optimal sizing and techno-enviro-economic feasibility assessment of solar tracker-based hybrid energy systems for rural electrification in Sudan”, Renew. Energy, vol. 205, pp. 1057–1070, Mar. 2023, doi: 10.1016/j.renene.2023.02.022.
O. Nadjemi, T. Nacer, A. Hamidat, and H. Salhi, “Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms”, Renew. Sustain. Energy Rev., vol. 70, no. November 2015, pp. 1352–1365, 2017, doi: 10.1016/j.rser.2016.12.038.
S. Barakat, M. M. Samy, M. B. Eteiba, and W. I. Wahba, “Feasibility study of grid connected pv-biomass ?ntegrated energy system in Egypt”, Int. J. Emerg. Electr. Power Syst., vol. 17, no. 5, pp. 519–528, 2016, doi: 10.1515/ijeeps-2016-0056.
E. Trojovska, M. Dehghani, and P. Trojovsky, “Zebra optimization algorithm: a new bio-?nspired optimization algorithm for solving optimization algorithm”, IEEE Access, vol. 10, pp. 49445–49473, 2022, doi: 10.1109/ACCESS.2022.3172789.
W. Zhao, L. Wang, and Z. Zhang, “A novel atom search optimization for dispersion coefficient estimation in groundwater”, Futur. Gener. Comput. Syst., vol. 91, pp. 601–610, 2019, doi: 10.1016/j.future.2018.05.030.
W. Zhao, L. Wang, and Z. Zhang, “Atom search optimization and its application to solve a hydrogeologic parameter estimation problem”, Knowledge-Based Syst., vol. 163, pp. 283–304, 2019, doi: 10.1016/j.knosys.2018.08.030.
“NASA POWER.” https://power.larc.nasa.gov/data-access-viewer/ (accessed Aug. 22, 2023).
A. A. Zaki Diab, H. M. Sultan, I. S. Mohamed, N. Kuznetsov Oleg, and T. D. Do, “Application of different optimization algorithms for optimal sizing of PV/wind/diesel/battery storage stand-alone hybrid microgrid”, IEEE Access, vol. 7, pp. 119223–119245, 2019, doi: 10.1109/ACCESS.2019.2936656.

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