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The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions

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  1. Youssef, Ayman & El-Telbany, Mohammed & Zekry, Abdelhalim, 2017. "The role of artificial intelligence in photo-voltaic systems design and control: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 72-79.
  2. Van Huong Dong & Thi Thom Hoang & Thanh Cong Pham, 2018. "Tracking Maximum Power Point For Photovoltaic System Using A Novel Differential Particle Swarm Optimization," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 41(4), pages 116-121, November.
  3. Yinxiao Zhu & Moon Keun Kim & Huiqing Wen, 2018. "Simulation and Analysis of Perturbation and Observation-Based Self-Adaptable Step Size Maximum Power Point Tracking Strategy with Low Power Loss for Photovoltaics," Energies, MDPI, vol. 12(1), pages 1-20, December.
  4. Noureddine Bouarroudj & Djamel Boukhetala & Vicente Feliu-Batlle & Fares Boudjema & Boualam Benlahbib & Bachir Batoun, 2019. "Maximum Power Point Tracker Based on Fuzzy Adaptive Radial Basis Function Neural Network for PV-System," Energies, MDPI, vol. 12(14), pages 1-19, July.
  5. Md Ismail Hossain & Md Shafiullah & Fahad A. Al-Sulaiman & Mohammad A. Abido, 2022. "Comprehensive Analysis of PV and Wind Energy Integration into MMC-HVDC Transmission Network," Sustainability, MDPI, vol. 15(1), pages 1-36, December.
  6. Ramli, Makbul A.M. & Twaha, Ssennoga & Ishaque, Kashif & Al-Turki, Yusuf A., 2017. "A review on maximum power point tracking for photovoltaic systems with and without shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 144-159.
  7. Ram, J.Prasanth & Rajasekar, N. & Miyatake, Masafumi, 2017. "Design and overview of maximum power point tracking techniques in wind and solar photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1138-1159.
  8. Zhou, Xiaoyan & Zhang, Ying & Ma, Xun & Li, Guoliang & Wang, Yunfeng & Hu, Chengzhi & Liang, Junyu & Li, Ming, 2022. "Performance characteristics of photovoltaic cold storage under composite control of maximum power tracking and constant voltage per frequency," Applied Energy, Elsevier, vol. 305(C).
  9. Alexandro Ortiz & Efrain Mendez & Israel Macias & Arturo Molina, 2022. "Earthquake Algorithm-Based Voltage Referenced MPPT Implementation through a Standardized Validation Frame," Energies, MDPI, vol. 15(23), pages 1-24, November.
  10. Noureddine Bouarroudj & Yehya Houam & Abdelhamid Djari & Vicente Feliu-Batlle & Abdelkader Lakhdari & Boualam Benlahbib, 2023. "A Linear Quadratic Integral Controller for PV-Module Voltage Regulation for the Purpose of Enhancing the Classical Incremental Conductance Algorithm," Energies, MDPI, vol. 16(11), pages 1-17, June.
  11. repec:zib:zjmerd:4jmerd2018-116-121 is not listed on IDEAS
  12. Chin, Vun Jack & Salam, Zainal & Ishaque, Kashif, 2015. "Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review," Applied Energy, Elsevier, vol. 154(C), pages 500-519.
  13. Doaa Khodair & Saad Motahhir & Hazem H. Mostafa & Ahmed Shaker & Hossam Abd El Munim & Mohamed Abouelatta & Ahmed Saeed, 2023. "Modeling and Simulation of Modified MPPT Techniques under Varying Operating Climatic Conditions," Energies, MDPI, vol. 16(1), pages 1-20, January.
  14. Marco Balato & Carlo Petrarca, 2020. "The Impact of Reconfiguration on the Energy Performance of the Distributed Maximum Power Point Tracking Approach in PV Plants," Energies, MDPI, vol. 13(6), pages 1-19, March.
  15. Ahmad M. A. Malkawi & Abdallah Odat & Ahmad Bashaireh, 2022. "A Novel PV Maximum Power Point Tracking Based on Solar Irradiance and Circuit Parameters Estimation," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
  16. Altwallbah Neda Mahmod Mohammad & Mohd Amran Mohd Radzi & Norhafiz Azis & Suhaidi Shafie & Muhammad Ammirrul Atiqi Mohd Zainuri, 2020. "A Novel Hybrid Approach for Maximizing the Extracted Photovoltaic Power under Complex Partial Shading Conditions," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
  17. Marco Balato & Carlo Petrarca & Annalisa Liccardo & Martina Botti & Luigi Verolino, 2023. "A Fast Reconfiguration Technique for Boost-Based DMPPT PV Systems Based on Deterministic Clustering Analysis," Energies, MDPI, vol. 16(23), pages 1-19, December.
  18. Nouman Akram & Laiq Khan & Shahrukh Agha & Kamran Hafeez, 2022. "Global Maximum Power Point Tracking of Partially Shaded PV System Using Advanced Optimization Techniques," Energies, MDPI, vol. 15(11), pages 1-29, May.
  19. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
  20. Sridhar, V. & Umashankar, S., 2017. "A comprehensive review on CHB MLI based PV inverter and feasibility study of CHB MLI based PV-STATCOM," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 138-156.
  21. Hassan M. H. Farh & Mohd F. Othman & Ali M. Eltamaly & M. S. Al-Saud, 2018. "Maximum Power Extraction from a Partially Shaded PV System Using an Interleaved Boost Converter," Energies, MDPI, vol. 11(10), pages 1-18, September.
  22. Ssennoga Twaha & Jie Zhu & Luqman Maraaba & Kuo Huang & Bo Li & Yuying Yan, 2017. "Maximum Power Point Tracking Control of a Thermoelectric Generation System Using the Extremum Seeking Control Method," Energies, MDPI, vol. 10(12), pages 1-18, December.
  23. Li, Shaowu, 2016. "Linear equivalent models at the maximum power point based on variable weather parameters for photovoltaic cell," Applied Energy, Elsevier, vol. 182(C), pages 94-104.
  24. Ahmed Ismail M. Ali & Zuhair Muhammed Alaas & Mahmoud A. Sayed & Abdulaziz Almalaq & Anouar Farah & Mohamed A. Mohamed, 2022. "An Efficient MPPT Technique-Based Single-Stage Incremental Conductance for Integrated PV Systems Considering Flyback Central-Type PV Inverter," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
  25. Belkaid, A. & Colak, I. & Isik, O., 2016. "Photovoltaic maximum power point tracking under fast varying of solar radiation," Applied Energy, Elsevier, vol. 179(C), pages 523-530.
  26. Vavilapalli, Sridhar & Umashankar, S. & Sanjeevikumar, P. & Ramachandaramurthy, Vigna K. & Mihet-Popa, Lucian & Fedák, Viliam, 2018. "Three-stage control architecture for cascaded H-Bridge inverters in large-scale PV systems – Real time simulation validation," Applied Energy, Elsevier, vol. 229(C), pages 1111-1127.
  27. Kamran Ali & Qudrat Khan & Shafaat Ullah & Ilyas Khan & Laiq Khan, 2020. "Nonlinear robust integral backstepping based MPPT control for stand-alone photovoltaic system," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-31, May.
  28. Baldwin Cortés & Roberto Tapia & Juan J. Flores, 2021. "System-Independent Irradiance Sensorless ANN-Based MPPT for Photovoltaic Systems in Electric Vehicles," Energies, MDPI, vol. 14(16), pages 1-18, August.
  29. Hong, Ying-Yi & Beltran, Angelo A. & Paglinawan, Arnold C., 2018. "A robust design of maximum power point tracking using Taguchi method for stand-alone PV system," Applied Energy, Elsevier, vol. 211(C), pages 50-63.
  30. Twaha, Ssennoga & Zhu, Jie & Yan, Yuying & Li, Bo, 2016. "A comprehensive review of thermoelectric technology: Materials, applications, modelling and performance improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 698-726.
  31. Boukenoui, R. & Ghanes, M. & Barbot, J.-P. & Bradai, R. & Mellit, A. & Salhi, H., 2017. "Experimental assessment of Maximum Power Point Tracking methods for photovoltaic systems," Energy, Elsevier, vol. 132(C), pages 324-340.
  32. Mostafa Ahmed & Mohamed Abdelrahem & Ibrahim Harbi & Ralph Kennel, 2020. "An Adaptive Model-Based MPPT Technique with Drift-Avoidance for Grid-Connected PV Systems," Energies, MDPI, vol. 13(24), pages 1-25, December.
  33. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
  34. Bradai, R. & Boukenoui, R. & Kheldoun, A. & Salhi, H. & Ghanes, M. & Barbot, J-P. & Mellit, A., 2017. "Experimental assessment of new fast MPPT algorithm for PV systems under non-uniform irradiance conditions," Applied Energy, Elsevier, vol. 199(C), pages 416-429.
  35. G, Dileep. & Singh, S.N., 2017. "Selection of non-isolated DC-DC converters for solar photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1230-1247.
  36. Kovács, András & Bátai, Roland & Csáji, Balázs Csanád & Dudás, Péter & Háy, Borbála & Pedone, Gianfranco & Révész, Tibor & Váncza, József, 2016. "Intelligent control for energy-positive street lighting," Energy, Elsevier, vol. 114(C), pages 40-51.
  37. Canras Batunlu & Mohamad Alrweq & Alhussein Albarbar, 2016. "Effects of Power Tracking Algorithms on Lifetime of Power Electronic Devices Used in Solar Systems," Energies, MDPI, vol. 9(11), pages 1-23, October.
  38. Md Ohirul Qays & Yonis Buswig & Md Liton Hossain & Ahmed Abu-Siada, 2020. "Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System," Energies, MDPI, vol. 13(13), pages 1-16, July.
  39. Victor Arturo Martinez Lopez & Ugnė Žindžiūtė & Hesan Ziar & Miro Zeman & Olindo Isabella, 2022. "Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm," Energies, MDPI, vol. 15(20), pages 1-12, October.
  40. Aharon, Ilan & Shmilovitz, Doron & Kuperman, Alon, 2017. "Multimode power processing interface for fuel cell range extender in battery powered vehicle," Applied Energy, Elsevier, vol. 204(C), pages 572-581.
  41. Li, Qiyu & Zhao, Shengdun & Wang, Mengqi & Zou, Zhongyue & Wang, Bin & Chen, Qixu, 2017. "An improved perturbation and observation maximum power point tracking algorithm based on a PV module four-parameter model for higher efficiency," Applied Energy, Elsevier, vol. 195(C), pages 523-537.
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