FUZZY LOGIC-BASED POWER MANAGEMENT IN GRID-CONNECTED SOLAR ENERGY SYSTEMS

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  • Hani Saed Faraj Ali Department of Electronics and Computer Engineering, Bilecik Şeyh Edebali University, Bilecik, Turkey
  • Magdi Saad Farag Ali Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia

DOI:

https://doi.org/10.46827/ejsss.v10i4.1843

Klíčová slova:

solar energy, fuzzy logic, power management, grid stability, photovoltaic systems

Abstrakt

With the ever-increasing application of photovoltaic systems on the power grid, energy flow management and grid stability have become a key factor, especially under varying conditions like variable cloud cover and fluctuating load demands. The paper looks forward to proposing a fuzzy logic approach to the management of energy regarding a solar energy system connected to a grid, aiming at obtaining an optimised power distribution among PV generation, the grid, and battery storage. The proposed system will be driven by five input parameters, PV value, grid availability, load demand, battery state of charge, and tariff rate, to regulate the energy flow activity within different scenarios. The simulation results developed in the MATLAB Simulink environment proved the effectiveness of the applied controller in maintaining energy stability and fulfilling the requirements of a load within seven case studies for a 24-hour duration. The work points out the potential of fuzzy logic, besides reliability, in enhancing the efficiency of various renewable energy systems integrated with conventional energy supply grids.

 

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Biografie autora

  • Hani Saed Faraj Ali, Department of Electronics and Computer Engineering, Bilecik Şeyh Edebali University, Bilecik, Turkey

    Hani Saed Faraj Aliis a Phd. Candidate.

  • Magdi Saad Farag Ali, Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia

    Magdi Saad Farag Aliis a lecturer at Higher Institute of Science and Technology Ajdabiya, Libya.

Reference

Alam, M. J. E., Muttaqi, K. M., & Sutanto, D. (2014). A novel approach for ramp-rate control of solar PV using energy storage to mitigate output fluctuations caused by cloud passing. IEEE Transactions on Energy Conversion, 29(2), 507–518. Retrieved from https://ieeexplore.ieee.org/document/6763050

Asano, H., Yajima, K., & Kaya, Y. (1996). Influence of photovoltaic power generation on the required capacity for load frequency control. IEEE Transactions on Energy Conversion, 11(1), 188–193. Retrieved from https://ieeexplore.ieee.org/document/486595

Baran, M. E., Hooshyar, H., Shen, Z., & Huang, A. (2012). Accommodating high PV penetration on distribution feeders. IEEE Transactions on Smart Grid, 3(2), 1039–1046. Retrieved from https://ieeexplore.ieee.org/document/6204237

Baran, M. E., Hooshyar, H., Shen, Z., & Huang, A. (2012). Accommodating high PV penetration on distribution feeders. IEEE Transactions on Smart Grid, 3(2), 1039–1046. Retrieved from https://ieeexplore.ieee.org/document/6204237

Chalmers, S. M., Hitt, M. M., Underhill, J. T., Anderson, P. M., Vogt, P. L., & Ingersoll, R. (1985). The effect of photovoltaic power generation on utility operation. IEEE Transactions on Power Apparatus and Systems, (3), 524–530. Retrieved from https://ieeexplore.ieee.org/document/4113116

Jewell, W. T., & Unruh, T. D. (1990). Limits on cloud-induced fluctuation in photovoltaic generation. IEEE Transactions on Energy Conversion, 5(1), 8–14. Retrieved from https://ieeexplore.ieee.org/document/50805

Jewell, W. T., Ramakumar, R., & Hill, S. R. (1988). A study of dispersed photovoltaic generation on the PSO system. IEEE Transactions on Energy Conversion, 3(3), 473–478. Retrieved from https://ieeexplore.ieee.org/document/8053

Lin, S., Han, M., Fan, R., & Hu, X. (2011). Configuration of energy storage system for distribution network with high penetration of PV. Renewable Energy. Retrieved from https://ieeexplore.ieee.org/document/6136158

Thomson, M., & Infield, D. G. (2007). Network power-flow analysis for a high penetration of distributed generation. IEEE Transactions on Power Systems, 22(3), 1157–1162. Retrieved from https://ieeexplore.ieee.org/document/4282058

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. Retrieved from http://liphy-annuaire.univ-grenoble-alpes.fr/pages_personnelles/bahram_houchmandzadeh/biblio/Zadeh_FuzzySetTheory_1965.pdf

Zhou, Y., Li, H., & Liu, L. (2012). Integrated autonomous voltage regulation and islanding detection for high-penetration PV applications. IEEE Transactions on Power Electronics, 28(6), 2826–2841. Retrieved from https://ieeexplore.ieee.org/document/6298967

Publikováno

2024-10-26

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