Maximizing Output Power for Solar Panel using Grey Wolf Optimization

Authors

  • Ali Nadhim Hamoodi Northern Technical University
  • Fawaz Sultan Abdulla Northern Technical University
  • Abdullah Ahmed Alwan Northern Technical University

DOI:

https://doi.org/10.56286/ntujet.v1i4.164

Keywords:

Maximum power point tracking (MPPT), Grey Wolf Optimization (GWO).

Abstract

Obtaining the highest output power delivered from solar panel that leads to an amelioration in the efficiency of the solar system related to the weather conditions and the rate of solar radiation falling on the panel. The optimization in the solar system efficiency by MPPT is performed using the gray wolf optimization method by applying the proposed algorithm in order to maximize the output power. This means that the gray wolf technologies must increase the power received from the solar panels in order to increase the efficiency

References

Sumathi, S., Kumar, L. A., & Surekha, P. (2015). Solar Pv And Wind Energy Conversion Systems: An Introduction To Theory, Modeling With Matlab/Simulink, And The Role Of Soft Computing Techniques (Vol. 1). Switzerland: Springer.?

Rafia Akhter and Aminul Hoque, “Analysis of a PWM Boost Inverter for Solar Home Application”, Proceedings of World Academy Of Science, Engineering And Technology, Volume 17, December 2006 ISSN 1307-6884.

Mokarram, M., Mokarram, M. J., Khosravi, M. R., Saber, A., & Rahideh, A. (2020). Determination Of The Optimal Location For Constructing Solar Photovoltaic Farms Based On Multi-Criteria Decision System And Dempster–Shafer Theory. Scientific Reports, 10(1), 1-17.?

Issam, B., Issam, A., & Hamza, B. (2017, October). Design Of Gray Wolf Optimizer for Improving Photovoltaic—Hydrogen Hybrid System. In 2017 5th International Conference on Electrical Engineering-Boumerdes (ICEE-B) (pp. 1-5). IEEE.?

Dorigo, M., Birattari, M., & Stutzle, T. (2006). Ant Colony Optimization. Ieee computational intelligence magazine, 1(4), 28-39.?

Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014). Grey Wolf Optimizer. Advances in engineering software, 69, 46-61.?

Jamil, M., Rizwan, M., & Kothari, D. P. (2017). Grid Integration Of Solar Photovoltaic Systems. Crc Press.?

Smets, A. H., Jäger, K., Isabella, O., Swaaij, R. A., & Zeman, M. (2015). Solar Energy: The Physics And Engineering Of Photovoltaic Conversion, Technologies And Systems. UIT Cambridge.?

Premkumar, M., & Sowmya, R. (2019). An Effective Maximum Power Point Tracker For Partially Shaded Solar Photovoltaic Systems. Energy Reports, 5, 1445-1462.?

Visweswara, K. (2014). An Investigation Of Incremental Conductance Based Maximum Power Point Tracking For Photovoltaic System. Energy Procedia, 54, 11-20.?

Foster, R., Ghassemi, M., & Cota, A. (2009). Solar Energy: Renewable Energy and The Environment. CRC press.?

Huynh, D. C., Nguyen, T. M., Dunnigan, M. W., & Mueller, M. A. (2013, November). Global MPPT of Solar PV Modules Using a Dynamic PSO Algorithm Under Partial Shading Conditions. In 2013 IEEE Conference on Clean Energy and Technology (CEAT) (pp. 134-139). IEEE.?

Tehrani, V. M., Rajaei, A., & Loghavi, M. A. (2021, February). MPPT Controller Design Using TLBO Algorithm For Photovoltaic Systems Under Partial Shading Conditions. In 2021 12th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC) (pp. 1-5). IEEE.?

Cherukuri, S. K., & Rayapudi, S. R. (2017). Enhanced Grey Wolf Optimizer Based Mppt Algorithm of Pv System Under Partial Shaded Condition. International Journal of Renewable Energy Development, 6(3), 203.?

Mohanty, S., Subudhi, B., & Ray, P. K. (2015). A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions. IEEE Transactions on Sustainable Energy, 7(1), 181-188.?

Suhardi, D., Syafaah, L., Irfan, M., Yusuf, M., Effendy, M., & Pakaya, I. (2019, November). Improvement of Maximum Power Point Tracking (MPPT) Efficiency Using Grey Wolf Optimization (GWO) Algorithm In Photovoltaic (PV) System. In IOP Conference Series: Materials Science and Engineering (Vol. 674, No. 1, p. 012038). IOP Publishing.?

Kraiem, H., Aymen, F., Yahya, L., Triviño, A., Alharthi, M., & Ghoneim, S. S. (2021). A Comparison Between Particle Swarm And Grey Wolf Optimization Algorithms For Improving The Battery Autonomy In A Photovoltaic System. Applied Sciences, 11(16), 7732.?

Abdelaziz, A. Y., & Almoataz, Y. (2020). Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Springer Nature Switzerland AG.?

Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014). Grey Wolf Optimizer. Advances in engineering software, 69, 46-61.?

Eltamaly, A. M., & Farh, H. M. (2019). Dynamic Global Maximum Power Point Tracking of The Pv Systems Under Variant Partial Shading Using Hybrid GWO-FLC. Solar Energy, 177, 306-316.

? [21] Cherukuri, S. K., & Rayapudi, S. R. (2017). Enhanced Grey Wolf Optimizer Based MPPT Algorithm Of Pv System Under Partial Shaded Condition. International Journal of Renewable Energy Development, 6(3), 203.?

Additional Files

Published

2022-09-20

How to Cite

Hamoodi, A. N. ., Abdulla, F. S. ., & Ahmed Alwan, A. (2022). Maximizing Output Power for Solar Panel using Grey Wolf Optimization. NTU Journal of Engineering and Technology, 1(4). https://doi.org/10.56286/ntujet.v1i4.164

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Articles