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2019 | Vol. 68, nr 3 | 611--627
Tytuł artykułu

A performance analysis of a hybrid golden section search methodology and a nature-inspired algorithm for MPPT in a solar PV system

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This research presents a comparative study for maximum power point tracking (MPPT) methodologies for a photovoltaic (PV) system. A novel hybrid algorithm golden section search assisted perturb and observe (GSS-PO) is proposed to solve the problems of the conventional PO (CPO). The aim of this new methodology is to boost the efficiency of the CPO. The new algorithm has a very low convergence time and a very high efficiency. GSS-PO is compared with the intelligent nature-inspired multi-verse optimization (MVO) algorithm by a simulation validation. The simulation study reveals that the novel GSS- PO outperforms MVO under uniform irradiance conditions and under a sudden change in irradiance.
Wydawca

Rocznik
Strony
611--627
Opis fizyczny
Bibliogr. 22 poz., rys., tab., wz.
Twórcy
  • Energy and Renewable Energy Department Faculty of Engineering, Egyptian Chinese University Gesr ElSuez, 11724 Cairo, Egypt, eng_hazem21@hotmail.com
  • Electrical Power and Machines Department Faculty of Engineering, Ain Shams University Cairo, Egypt
  • Electronics and Communication Department Faculty of Engineering, Ain Shams University Cairo, Egypt
Bibliografia
  • [1] Haque A., Zaheeruddin, Research on Solar Photovoltaic (PV) energy conversion system: An overview, Third International Conference on Computational Intelligence and Information Technology, Mumbai, pp. 605–611 (2013).
  • [2] Deepak Verma, Savita Nema, Shandilya A.M., Dash S.K., Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems, Renewable and Sustainable Energy Reviews, vol. 54, pp. 1018–1034 (2016).
  • [3] Islam H., Mekhilef S., Shah N., Soon T., Seyedmahmousian M., Horan B., Stojcevski A., Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems, Energies, vol. 11, no. 2, pp. 365 (2018).
  • [4] Ahmed J., Salam Z., An Enhanced Adaptive P&O MPPT for Fast and Efficient Tracking Under Varying Environmental Conditions, IEEE Transactions on Sustainable Energy (2018).
  • [5] Ram J.P., Rajasekar N., A Novel Flower Pollination Based Global Maximum Power Point Method for Solar Maximum Power Point Tracking, IEEE Transactions on Power Electronics, vol. 32, no. 11, pp. 8486–8499 (2017).
  • [6] Wai R., Lin C., Duan R., Chang Y., High-Efficiency DC-DC Converter With High Voltage Gain and Reduced Switch Stress, IEEE Transactions on Industrial Electronics, vol. 54, no. 1, pp. 354–364 (2007).
  • [7] Lakshmi M., Hemamalini S., Nonisolated High Gain DC–DC Converter for DC Microgrids, IEEE Transactions on Industrial Electronics, vol. 65, no. 2, pp. 1205–1212 (2018).
  • [8] Fronczak K., Stability analysis of switched dc-dc boost converters for integrated circuits, Masters Thesis, Faculty of Electrical Engineering, Rochester Institute of Technology (2013).
  • [9] Qi Feng, Nelms R.M., Hung J.Y., Posicast-based digital control of the buck converter, IEEE Transactions on Industrial Electronics, vol. 53, no. 3, pp. 759–767 (2006).
  • [10] Feng Q., Hung J.Y.,Nelms R.M., The application of posicast control to DC-DC converters, IECEC ’02, 37th Intersociety Energy Conversion Engineering Conference, Washington, WA, USA, pp. 698–703 (2002).
  • [11] Polivka W.M., Chetty P.R.K., Middlebrook R.D., State-Space Average Modelling Of Converters With Parasitics And Storage-Time Modulation, California Institute of Technology, Pasadena, California (1980).
  • [12] Subramanya Bhat, Nagaraja H.N., Effect of Parasitic Elements on the Performance of Buck-Boost Converter for PV Systems, IJECE, vol. 4, no. 6, pp. 831–836 (2014).
  • [13] Serrano-Guerrero X., González-Romero J., Cárdenas-Carangui X., Escrivá-Escrivá G., Improved variable step size P&O MPPT algorithm for PV systems, 51st International Universities Power Engineering Conference, Coimbra, pp. 1–6 (2016).
  • [14] Narendiran S., Sahoo S.K., Das R., Sahoo A.K., Fuzzy logic controller based maximum power point tracking for PV system, 3rd International Conference on Electrical Energy Systems (ICEES), Chennai, pp. 29–34 (2016).
  • [15] Safari A., Mekhilef S., Incremental conductance MPPT method for PV systems, 24th Canadian Conference on Electrical and Computer Engineering (CCECE), Niagara Falls, ON, pp. 345–347 (2011).
  • [16] Chung T.M., Daniyal H., Sulaiman M., Bakar M., Comparative study of P&O and modified incremental conductance algorithm in solar maximum power point tracking, 4th IET Clean Energy and Technology Conference, Kuala Lumpur, pp. 1–6 (2016).
  • [17] Agrawal J., Aware M., Golden section search (GSS) algorithm for Maximum Power Point Tracking in photovoltaic system, IEEE 5th India International Conference on Power Electronics (IICPE), Delhi, pp. 1–6 (2012).
  • [18] Seyedali Mirjalili, Seyed Mohammad Mirjalili, Andrew Lewis, Grey Wolf Optimizer, Advances in Engineering Software, vol. 69, pp. 46–61 (2014).
  • [19] CHERUKURI, Santhan Kumar, RAYAPUDI, Srinivasa Rao, Enhanced Grey Wolf Optimizer based MPPT Algorithm of PV system under Partial Shaded Condition, International Journal of Renewable Energy Development, vol. 6, no. 3, pp. 203–212 (2017).
  • [20] Mohanty S., Subudhi B., Ray P.K., A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions, in IEEE Transactions on Sustainable Energy, vol. 7, no. 1, pp. 181–188 (2016).
  • [21] Mirjalili S., Mirjalili S.M., A. Hatamlou, Multi-Verse Optimizer: a nature-inspired algorithm for global optimization, Neural Computing and Applications, vol. 27, no. 2, pp. 495–513 (2016)
  • [22] Riaz Ahmad, Ali F. Murtaza, Hadeed Ahmed Sher, Power tracking techniques for efficient operation of photovoltaic array in solar applications – A review, Renewable and Sustainable Energy Reviews, vol. 101, pp. 82–102 (2019).
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
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