Development of an Intelligent Optimization Model for Hybrid Solar and Wind Energy Systems

References

[1] Antoniou A, Lu W-S. Practical Optimization: Algorithms and Engineering Applications. Springer; 2012

[2] B H Khan, “Non-Conventional Energy Resources,” Tata McGrawHill Pub.Co., 2009 http://www.unep.org/NewsCentre/default.aspx?DocumentID=26856&ArticleID=35621#sthas h.LPf9GjIy.OsBsRQG7.dpuf

[3] Cristian Dragoş Dumitru, Adrian Gligor (2010) MODELING AND SIMULATION OF RENEWABLE HYBRID POWER SYSTEM USING MATLAB/SIMULINK ENVIRONMENT. Scientific Bulletin of the „Petru Maior” University of Târgu Mureş Vol. 7 (XXIV), no. 2, 2010, ISSN 1841-9267

[4] Ekren, O., and Ekren, B.(2010). Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing, Applied Energy, 87 (2), 592–598

[5] Evans, Annette; Strezov, Vladimir; Evans, Tim (June 2009). "Assessment of sustainability indicators for renewable energy technologies". Renewable and Sustainable Energy Reviews. 13 (5): 1082–1088. doi:10.1016/j.rser.2008.03.008

[6] Gajewski, P., & Pieńkowski, K. (2021). Control of the hybrid renewable energy system with wind turbine, photovoltaic panels and battery energy storage. Energies, 14(6), 1595.

[7] Jing, W.; Lai, C.H.; Wallace, S.H.; Wong, M.L. Battery-sypercapacitor hybrid energy storage system in standalone DC microgrids: A review. IET Renew. Power Gener. 2017, 11, 461–469.

[8] Kabalci, E. (2013). Design and analysis of a hybrid renewable energy plant with solar and wind power. Energy Conversion and Management, 72, 51-59.

[9] Kong, X.; Liu, X.; Ma, L.; Lee, K.Y. Hierarchical distributed model predictive conrol of standalone wind/solar/battery power system. IEEE Trans. Syst. Man Cybern. Syst. 2019, 49, 1570–1581.

[10] Kumar, G. A., & Shivashankar. (2022). Optimal power point tracking of solar and wind energy in a hybrid wind solar energy system. International Journal of Energy and Environmental Engineering, 13(1), 77-103.

[11] Linear-Programming Applications. Daniel Mackie/Stone; 1989. Web Chapter B. Available from: http://www. swlearning.com/economics/mcguigan/ mcguigan9e/web_chapter_b.pdf

[12] Lawan, S. M., & Abidin, W. A. W. Z. (2020). A review of hybrid renewable energy systems based on wind and solar energy: modeling, design and optimization. Wind Solar Hybrid Renewable Energy System.

[13] Manyonge, R., Ochieng, F., and Shichikha, J. (2012). Mathematical Modeling of Wind Turbine in a Wind Energy Conversion System Power Coefficient Analysis,Applied Mathematical Sciences, 6 (2), 4527 - 4536.

[14] Mugarura, Ambrose and Guntredi, Venkataramana (2023) Modeling and Simulation of Hybrid Solar-Wind Energy System Using MPPT Algorithm. International Digital Organization for Scientific Research ISSN: 2579-0781 IDOSR JOURNAL OF EXPERIMENTAL SCIENCES 9(1) 72-83, 2023.

[15] M.H. Taghvaee, M.A.M. Radzi, S.M. Moosavain, H. Hizam, and M.H. Marhaban, " A current and future study on non-isolated DC-DC converters for photovoltaic applications," Renewable and Sustainable Energy Reviews, vol. 17, pp. 216-227, 2013, doi: http://dx.doi.org/10.1016/j.rser.2012.09.023.

[16] Ramu, K., and Rambabu, K. (2014). Renewable Energy Based Small Hybrid Power System For Desalination Applications In Remote Locations, International Journal of Electrical, Electronics and Data Communication, 2 (1), 2320-2084

[17] Righter, Robert W. (2011). Windfall: wind energy in America today. Norman: University of Oklahoma Press. ISBN 978-0-8061-4192-3.

[18] Roy, P., He, J., Zhao, T., & Singh, Y. V. (2022). Recent advances of wind-solar hybrid renewable energy systems for power generation: A review. IEEE Open Journal of the Industrial Electronics Society, 3, 81-104.

[19] S. Sami and D. Icaza (2016). Modeling and Simulation of Hybrid Solar Photovoltaic, Wind turbine and Hydraulic Power System. International Journal of Engineering Science and Technology (IJEST

[20] Paul Gipe (7 May 2014). "News & Articles on Household-Size (Small) Wind Turbines". Wind-works.org. Archived from the original on 28 August 2022. Retrieved 29 September 2016.

[21] Saib, S.; Gherbi, A. Simulation and control of hybrid renewable energy system connected to the grid. In Proceedings of the 5th International Youth Conference on Energy (IYCE), Pisa, Italy, 27–30 May 2015; pp. 1–6.

[22] VARUN NIRANJAN NAYAK (2020). Design and Simulate a Hybrid Solar and Wind Power System

[23] Vpiasha Sharma, Harpreet Kaur, Inderpreet Kaur,”Design and Implemetation of Multi Junction PV cell for MPPT to improve the Transformation efficiency ”International Journal of Recent Technology and Engineering (IJRTE), ISSN:2277-3878,vol.7, issue-6S4, April 201

[24] "World wind capacity at 650,8 GW, Corona crisis will slow down markets in 2020, renewables to be core of economic stimulus programmes" (Press release). WWEA. 16 April 2020. Retrieved 1 September 2021. Wind power capacity worldwide reaches 650,8 GW, 59,7 GW added in 2019

@article{1705898,
      author = {Ene Chinedu Donald, Ogbonna B. O},
      title = {Development of an Intelligent Optimization Model for Hybrid Solar and Wind Energy Systems},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {12},
      pages = {159-176},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705898.pdf},
      abstract = {The growing demand for sustainable and efficient energy sources has led to increased interest in hybrid solar-wind energy conversion systems. This research focuses on the comprehensive study of the modelling, control, and optimization aspects of hybrid solar-wind energy converters, with a specific emphasis on the implementation of Control Algorithm for Optimizing the Energy Storage Management. The hybrid system integrates both solar and wind energy sources to harness renewable energy in a synergistic manner, addressing the intermittency and variability associated with individual sources. A detailed mathematical model is developed to capture the dynamic behaviour of the hybrid system under various environmental conditions. The modelling framework considers the intricate interactions between the solar and wind components, ensuring accuracy in predicting the system's performance. The study also delves into the design and implementation of advanced control strategies tailored for the hybrid solar-wind energy converter. Control algorithms are developed in MATLAB Simulink to enhance the system's stability, efficiency, and response to varying environmental conditions. For storage efficiency, the proposed model achieved a storage efficiency of 90% compared to the existing work's efficiency of 85%, indicating a 5% improvement in storage efficiency with the proposed model. Regarding reliability, the proposed model achieved a reliability percentage of 98.63% compared to the existing work's reliability of 95%, showcasing a notable 3.63% enhancement in reliability with the proposed model. These improvements in storage efficiency and reliability demonstrate the effectiveness of the proposed model in optimizing energy storage management and ensuring reliable operation.},
      keywords = {Controller, Intelligent Optimization, MMPT, Renewable Energy},
      month = {June},
  }