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Performance Analysis of Solar Health Monitoring by Spider Monkey Optimization (SMO)

R K Shrivastava

Principal, Dr. Bhagwat Sahay Govt. College Gwalior, Madhya Pradesh, India

Neha Sharma

Research Scholar, S.M.S. Govt. Model Science College Gwalior, Madhya Pradesh, India

50-58

Vol: 15, Issue: 1, 2025

Receiving Date: 2024-11-29 Acceptance Date:

2025-01-23

Publication Date:

2025-01-27

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http://doi.org/10.37648/ijrst.v15i01.003

Abstract

In real life, human dependency on electricity is increasing regularly. Research focuses on increasing the energy efficiency of renewable resources such as solar and wind energy. As India is situated within the solar belt region, Solar electricity can act as a great solution for the electricity demand in the urban and rural areas of the developing countries such as India. In the proposed research, we submit an automated health monitoring model for photovoltaic (PV) solar cells utilizing Spider Monkey Optimization (SMO) method. The fission-fusion food search behavior of spider monkeys served as the inspiration for Spider Monkey Optimization, an evolutionary optimization method inspired by nature. In the presented model, every array of the photovoltaic (PV) cell is linked to separate Solar Monitoring Unit (SMU). After completing this installation, centralized data from each Solar Monitoring Unit via micro-controllers enables autonomous health monitoring. Additionally, a device that uses SMO-based data processing to derive health information from each PV array is attached to this system

Keywords: Photovoltaic (PV) cells; Spider Monkey Optimization (SMO); Solar Monitoring

References

  1. 2003 Company fact sheet. Mathworsk.
  2. A.A. Al-Azza, Al-Jodah and Harackiewicz F.J. (2016): Spider Monkey Optimization. A Novel Technique for Antenna Optimization, in IEEE Antennas and Wireless Propagation Letters, Vol. 15, pp. 1016-1019.
  3. About Mathworks. Mathworks.com.
  4. Agrawal Amrita, Garg Deepika et al. (2023). A reviewing of spider Money Optimization. Modification and its Bio-medical Application. International Journal on Interactive Design and Manufacturing (IJIDEM). DOI: 10,1007/s2008-023-01671-4.
  5. AryaVishes, Kamawat, Neeraj Kumar (2019): Solar Health Monitoring by Spider Money Optimization. International Jr. of Recent Research and Review, Vol. XII, (3) pp. 39-44.
  6. Banes, J and Carson J.S. II (1984): Discrete event system Simulation, Englewood Cliffs, N.J. Prentice Hall.
  7. Bansal, J.C., Sharma H., Jandon S.S. and Clerc Maurice (2014): Spider Monkey Optimization Algorithm for Numerical Optimization, Memetic Computing, 6,No.1, pp. 31-37.
  8. Borthanazad, H., Mekhilef, S. Ganapathy et al. (2014). Optimization of micro grid system using MOPSO Renewable Energy, 71, pp. 295-306.
  9. Chikh A. and Chandra A. (2015): An optimal maximum power point tracking algorithm for PV systems with climatic parameters estimation. IEEE Transactions on Sustainable Energy, Vol. 6(2), pp. 644-652.
  10. Dhar, Joydip and Arora, Surbhi (2017): Designing Fuzzy Rule base using Spider Monkey Optimization Algorithm in Cooperative Framework. Future Computing and Informatics Journal, Volume 2, Issue1, pp. 31-38.
  11. Doliento, S., Chouder, A. Guerrierro, P. et al. (2017). Monitoring Diagnosis and Power Fore Casting for Photovoltaic fields, A Review: International Jr. of Photo Energy. Article ID 1356851.
  12. Dorigo, M. Maniezzo, V. and Colorni, A. (1996). An system: Optimization by a Colony of Cooperating agents, IEEA Transactions on Systems, Man and Cybernetics 26(1),pp. 29-41.
  13. Guerriero, P., Di Napoli F. et al. (2015): Accurate Maximum power tracking in Photovoltaic Systems affected by Partial shading. International Journal of Photo-energy, Vol. 2015, Article ID : 824832, 10 pages.
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