Submitted:
17 February 2024
Posted:
19 February 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
3. Results
3.1. Case 1: Without Shading
3.2. Case 2: Partial Shading and Without Protection Diodes
3.3. Case 3: Partial Shading and Only Bypass Diodes
3.4. Case 4: Partial Shading and Both Bypass and Blocking Protection Diodes
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Blaabjerg, F.; Iov, F.; Teodorescu, R.; Chen, Z. Power Electronics in Renewable Energy Systems. In Proceedings of the 2006 12th Int. Power Electron. and Motion Control Conf., IEEE, Portoroz, Slovenia; 2006; pp. 1–17. [Google Scholar] [CrossRef]
- Dixon, A. Modern Aspects of Power System Frequency Stability and Control; Academic Press, Elsevier, 2019; ISBN 9780128161395. [Google Scholar] [CrossRef]
- 3. Orłowska-Kowalska, Teresa; Blaabjerg, F.; Rodríguez, J. In Advanced and Intelligent Control in Power Electronics and Drives. Studies in Computational Intelligence; Springer: Cham, Switzerland, 2014; Volume 531. [CrossRef]
- Ahmed, S.; Mekhilef, S.; Mubin, M.; Tey, K. S.; Kermadi, M. An Adaptive Perturb and Observe Algorithm With Enhanced Skipping Feature for Fast Global Maximum Power Point Tracking Under Partial Shading Conditions. IEEE Trans. Power Electron. 2023, 38, 11601–11613. [Google Scholar] [CrossRef]
- Kumaresan, A.; Tafti, H.D.; Beniwal, N.; Gorla, N.B.Y.; Farivar, G.G.; Pou, J.; Konstantinou, G. Improved Secant-Based Global Flexible Power Point Tracking in Photovoltaic Systems Under Partial Shading Conditions. IEEE Trans. Power Electron. 2023, 38, 10383–10395. [Google Scholar] [CrossRef]
- Kahani, R.; Jamil, M.; Iqbal, M. T. An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems. J. Mod. Power Syst. Clean Energy 2023, 11, 1165–1175. [Google Scholar] [CrossRef]
- Fan, Z.-K.; Lian, K.-L.; Lin, J.-F. A New Golden Eagle Optimization with Stooping Behaviour for Photovoltaic Maximum Power Tracking under Partial Shading. Energies 2023, 16, 5712. [Google Scholar] [CrossRef]
- Wang, Y.; Dai, S.; Liu, P.; Zhao, X. A Hybrid Particle Swarm Optimization with Butterfly Optimization Algorithm Based Maximum Power Point Tracking for Photovoltaic Array under Partial Shading Conditions. Sustainability 2023, 15, 12402. [Google Scholar] [CrossRef]
- Sajid, I.; Gautam, A.; Sarwar, A.; Tariq, M.; Liu, H.-D.; Ahmad, S.; Lin, C.-H.; Sayed, A.E. Optimizing Photovoltaic Power Production in Partial Shading Conditions Using Dandelion Optimizer (DO)-Based MPPT Method. Processes 2023, 11, 2493. [Google Scholar] [CrossRef]
- Shang, L. , Guo, H.; Zhu, W. An improved MPPT control strategy based on incremental conductance algorithm. Prot Control Mod Power Syst 2020, 5. [Google Scholar] [CrossRef]
- Banu, I. V.; Istrate, M. Modeling of maximum power point tracking algorithm for photovoltaic systems. In Proceedings of the 2012 Int. Conf. Exp. on Electrical Power Eng., IEEE, Iasi, Romania, 25-27 October 2012; pp. 953–957. [Google Scholar] [CrossRef]
- Patel, H.; Agarwal, V. Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions. IEEE Trans. Ind. Electron. 2008, 55, 1689–1698. [Google Scholar] [CrossRef]
- Engin, M. Controller Design for Parallel Mechanism Solar Tracker. Machines 2023, 11, 372. [Google Scholar] [CrossRef]
- Sekar, R.M.; Murugesan, S.; Devadasu, G.; Salkuti, S.R. A Coyote Optimization-Based Residual Attention Echo State Reactive Controller for Improving Power Quality in Grid-PV Systems. Machines 2023, 11, 384. [Google Scholar] [CrossRef]
- Banu, I.V.; Istrate, M. Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink. In Proceedings of the 2014 49th Int. Univ. Power Eng. Conf. (UPEC), Cluj-Napoca, Romania, 02-05 September 2014; pp. 1–6. [Google Scholar] [CrossRef]
- Barkat, Fadila; Cheknane, A. ; Guerrero, J. M.; Lashab, A.; Istrate, M.; Banu, I. V. Hybrid islanding detection technique for single-phase grid-connected photovoltaic multi-inverter systems. IET Renew. Power Gener. 2021, 14, 3864–3880. [Google Scholar] [CrossRef]
- 17. Barkat, Fadila; Cheknane, A.; Guerrero, J.M.; Lashab, A.; Istrate, M.; Gavrilas, M.; Motas, Justina G.; Banu, I.V. Review, analysis, and performance evaluation of the most common four active methods for islanding detection in grid-connected photovoltaic systems. Electr. Power Syst. Res. 1089. [CrossRef]
- Banu, I.V.; Barkat, Fadila; Istrate, M. ; Guerrero, J.M.; Culea, G.; Livinti, P.; Motas, Justina G.; Neagu, B.; Andrioaia, D. Passive anti-Islanding protection for Three-Phase Grid-Connected photovoltaic power systems. Int. J. Electr. Power Energy Syst. 2023, 148, 108946. [Google Scholar] [CrossRef]
- Bouhafs, A.; Kafi, M.R.; Louazene, L.; Rouabah, B.; Toubakh, H. Fault-Detection-Based Machine Learning Approach to Multicellular Converters Used in Photovoltaic Systems. Machines 2022, 10, 992. [Google Scholar] [CrossRef]
- Abubakar, A.; Almeida, C.F.M.; Gemignani, M. Review of Artificial Intelligence-Based Failure Detection and Diagnosis Methods for Solar Photovoltaic Systems. Machines 2021, 9, 328. [Google Scholar] [CrossRef]
- Maoulida, F.; Djedjig, R.; Kassim, M.A.; El Ganaoui, M. Numerical Study for the Evaluation of the Effectiveness and Benefits of Using Photovoltaic-Thermal (PV/T) System for Hot Water and Electricity Production under a Tropical African Climate: Case of Comoros. Energies 2023, 16, 240. [Google Scholar] [CrossRef]
- Almukhtar, H.; Lie, T.T.; Al-Shohani, W.A.M.; Anderson, T.; Al-Tameemi, Z. Comprehensive Review of Dust Properties and Their Influence on Photovoltaic Systems: Electrical, Optical, Thermal Models and Experimentation Techniques. Energies 2023, 16, 3401. [Google Scholar] [CrossRef]
- Abuzaid, H.; Awad, M.; Shamayleh, A. Impact of dust accumulation on photovoltaic panels: a review paper. Int. J. Sustain. Eng. 2022, 15, 264–285. [Google Scholar] [CrossRef]
- Zsiborács, H.; Pintér, G.; Vincze, A.; Hegedűsné Baranyai, N. A Control Process for Active Solar-Tracking Systems for Photovoltaic Technology and the Circuit Layout Necessary for the Implementation of the Method. Sensors 2022, 22, 2564. [Google Scholar] [CrossRef]
- Aslam, A.; Ahmed, N.; Qureshi, S.A.; Assadi, M.; Ahmed, N. Advances in Solar PV Systems; A Comprehensive Review of PV Performance, Influencing Factors, and Mitigation Techniques. Energies 2022, 15, 7595. [Google Scholar] [CrossRef]
- Jaen-Cuellar, A.Y.; Elvira-Ortiz, D.A.; Osornio-Rios, R.A.; Antonino-Daviu, J.A. Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review. Energies 2022, 15, 5404. [Google Scholar] [CrossRef]
- Manasrah, A.; Masoud, M.; Jaradat, Y.; Bevilacqua, P. Investigation of a Real-Time Dynamic Model for a PV Cooling System. Energies 2022, 15, 1836. [Google Scholar] [CrossRef]
- Usman, Z.; Tah, J.; Abanda, H.; Nche, C. A Critical Appraisal of PV-Systems’ Performance. Buildings 2020, 10, 192. [Google Scholar] [CrossRef]
- Zefri, Y.; ElKettani, A.; Sebari, I.; Ait Lamallam, S. Thermal Infrared and Visual Inspection of Photovoltaic Installations by UAV Photogrammetry—Application Case: Morocco. Drones 2018, 2, 41. [Google Scholar] [CrossRef]
- Cristaldi, L.; Faifer, M.; Rossi, M.; Toscani, S.; Catelani, M.; Ciani, L.; Lazzaroni, M. Simplified method for evaluating the effects of dust and aging on photovoltaic panels. Measurement 2014, 54, 207–214. [Google Scholar] [CrossRef]
- Ishaque, Z. , Salam, Z. A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition. Renew. Sustain. Energy Rev. 2013, 19, 475–488. [Google Scholar] [CrossRef]
- Deshkar, S.N.; Dhale, S.B.; Mukherjee, J.S.; Sudhakar Babu, T.; Rajasekar, N. Solar PV array reconfiguration under partial shading conditions for maximum power extraction using genetic algorithm. Renew. Sustain. Energy Rev. 2015, 43, 102–110. [Google Scholar] [CrossRef]
- Hadwan, M.; Alkholidi, A. Assessment of factors influencing the sustainable performance of photovoltaic water pumping systems. Renew. Sustain. Energy Rev. 2018, 92, 307–318. [Google Scholar] [CrossRef]
- Patel, H.; Agarwal, V. MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics. IEEE Trans. Energy Convers. 2008, 3, 302–310. [Google Scholar] [CrossRef]
- Ye, C.-E.; Tai, C.-C.; Huang, Y.-P. Disperse Partial Shading Effect of Photovoltaic Array by Means of the Modified Complementary SuDoKu Puzzle Topology. Energies 2023, 16, 4910. [Google Scholar] [CrossRef]
- Yadav, V. K.; Behera, A.D.; Singh, R.; Maheshwari, A.; Ghosh, S.; Prakash, A. A novel PV array reconfiguration technique based on circular array data structure. Energy 2023, 283, 128505. [Google Scholar] [CrossRef]
- Fathy, A.; Yousri, D.; Babu, T.S.; Rezk, H.; Ramadan, H.S. An enhanced reconfiguration approach for mitigating the shading effect on photovoltaic array using honey badger algorithm, Sustain. Energy Technol. Assess. 2023, 57, 103179. [Google Scholar] [CrossRef]
- Li, S.; Zhang, T.; Yu, J. Photovoltaic Array Dynamic Reconfiguration Based on an Improved Pelican Optimization Algorithm. Electronics 2023, 12, 3317. [Google Scholar] [CrossRef]
- Yadav, V.K.; Yadav, R.; Singh, R.; Mishra, I.; Ganvir, I.; Manish. Reconfiguration of PV array through recursive addition approach for optimal power extraction under PSC. Energy Convers. Manag. 2023, 292, 117412. [Google Scholar] [CrossRef]
- Bauwens, P.; Doutreloigne, J. Reducing partial shading power loss with an integrated Smart Bypass. Solar Energy 2014, 103, 134–142. [Google Scholar] [CrossRef]
- Goss, B.; Cole, I.R.; Koubli, E.; Palmer, D.; Betts, T.R.; Gottschalg., R. Modelling and prediction of PV module energy yield. In The Performance of Photovoltaic (PV) Systems, 1st ed.; Nicola Pearsall; Woodhead Publishing, 2017; pp. 103–132. ISBN 9781782423362. [Google Scholar] [CrossRef]
- Alkan, S.; Ates, Y. Pilot Scheme Conceptual Analysis of Rooftop East–West-Oriented Solar Energy System with Optimizer. Energies 2023, 16, 2396. [Google Scholar] [CrossRef]
- Lappalainen, K.; Valkealahti, S. Number of maximum power points in photovoltaic arrays during partial shading events by clouds. Renewable Energy 2020, 152, 812–822. [Google Scholar] [CrossRef]
- Liu, H.-D.; Lin, C.-H.; Pai, K.-J. ; Wang, C-M. A GMPPT algorithm for preventing the LMPP problems based on trend line transformation technique, Solar Energy 2020, 198, 53–67. [Google Scholar] [CrossRef]
- Osmani, K.; Haddad, A.; Jaber, H.; Lemenand, T.; Castanier, B.; Ramadan, M. Mitigating the effects of partial shading on PV system’s performance through PV array reconfiguration: A review. Therm. Sci. Eng. Prog. 2022, 31, 101280. [Google Scholar] [CrossRef]
- Hou, S.; Zhu, W. Dynamic Reconfiguration Method of Photovoltaic Array Based on Improved HPSO Combined with Coefficient of Variation. Electronics 2023, 12, 2744. [Google Scholar] [CrossRef]
- Merino, S.; Martinez, J.; Guzman, F.; Lara, J.d.D.; Guzman, R.; Sanchez, F.; Heredia, J.R.; Sidrach de Cardona, M. Dynamic Reconfiguration to Optimize Energy Production on Moving Photovoltaic Panels. Sustainability 2023, 15, 10858. [Google Scholar] [CrossRef]
- Katiki, D.; Yammani, C.; Salkuti, S.R. Improved-Odd-Even-Prime Reconfiguration to Enhance the Output Power of Rectangular Photovoltaic Array under Partial Shading Conditions. Electronics 2023, 12, 427. [Google Scholar] [CrossRef]
- Rajani, K.; Ramesh, T. Reconfiguration of PV Arrays (T-C-T, B-L, H-C) Considering Wiring Resistance. CSEE J. Power Energy Syst. 2022, 8, 1408–1416. [Google Scholar] [CrossRef]
- Tatabhatla, V. M. R.; Agarwal, A.; Kanumuri, T. A Chaos Map Based Reconfiguration of Solar Array to Mitigate the Effects of Partial Shading. IEEE Trans. Energy Convers. 2022, 37, 811–823. [Google Scholar] [CrossRef]
- Karmakar, B. K.; Karmakar, G. A Current Supported PV Array Reconfiguration Technique to Mitigate Partial Shading. IEEE Trans. Sustain. Energy 2021, 12, 1449–1460. [Google Scholar] [CrossRef]
- Vijayalekshmy, S.; Bindu, G.R.; Iyer, S.R. A novel Zig-Zag scheme for power enhancement of partially shaded solar arrays. Solar Energy 2016, 135, 92–102. [Google Scholar] [CrossRef]
- Tabanjat, A.; Becherif, M.; Hissel, D. Reconfiguration solution for shaded PV panels using switching control. Renewable Energy 2015, 82, 4–13. [Google Scholar] [CrossRef]
- Rani, B. I.; Ilango, G. S.; Nagamani, C. Enhanced Power Generation From PV Array Under Partial Shading Conditions by Shade Dispersion Using Su Do Ku Configuration. IEEE Trans. Sustain. Energy 2013, 4, 594–601. [Google Scholar] [CrossRef]
- Velasco-Quesada, G.; Guinjoan-Gispert, F.; Pique-Lopez, R.; Roman-Lumbreras, M.; Conesa-Roca, A. Electrical PV Array Reconfiguration Strategy for Energy Extraction Improvement in Grid-Connected PV Systems. IEEE Trans. Ind. Electron. 2009, 56, 4319–4331. [Google Scholar] [CrossRef]
- Celik, B.; Suryanarayanan, S.; Roche, R.; Hansen, T. M. Quantifying the Impact of Solar Photovoltaic and Energy Storage Assets on the Performance of a Residential Energy Aggregator. IEEE Trans. Sustain. Energy 2020, 11, 405–414. [Google Scholar] [CrossRef]
- Steffen, B. Estimating the cost of capital for renewable energy projects. Energy Economics 2020, 88, 104783. [Google Scholar] [CrossRef]
- Ramakumar, R.; Butler, N.G.; Rodriguez, A. P.; Venkata, S.S. Economic aspects of advanced energy technologies. Proceedings of the IEEE 1993, 81, 318–332. [Google Scholar] [CrossRef]
- Cucchiella, F.; D’Adamo, I.; Gastaldi, M. Economic Analysis of a Photovoltaic System: A Resource for Residential Households. Energies 2017, 10, 814. [Google Scholar] [CrossRef]
- Palz, W.; Zibetta, H. Energy Pay-Back Time of Photovoltaic Modules. Int. J. Sol. Energy 1991, 10, 211–216. [Google Scholar] [CrossRef]
- Kato, K.; Murata, A.; Sakuta, K. Energy Payback Time and Life-Cycle CO2 Emission of Residential PV Power System with Silicon PV Module. Prog. Photovolt.: Res. Appl. 1998, 6, 110–115. [Google Scholar] [CrossRef]
- Abdulmawjood, K.; Alsadi, S.; Refaat, S. S.; Morsi, W. G. Characteristic Study of Solar Photovoltaic Array Under Different Partial Shading Conditions. IEEE Access 2022, 10, 6856–6866. [Google Scholar] [CrossRef]
- Lyden, S.; Haque, M.E. Modelling, parameter estimation and assessment of partial shading conditions of photovoltaic modules. J. Mod. Power Syst. Clean Energy 2019, 7, 55–64. [Google Scholar] [CrossRef]
- Satpathy, P. R.; Sharma, R.; Dash, S. An efficient SD-PAR technique for maximum power generation from modules of partially shaded PV arrays. Energy 2019, 175, 182–194. [Google Scholar] [CrossRef]
- Al-Smadi M., K.; Mahmoud, Y. Analysis of Photovoltaic Systems Power Losses in Partial Shading Conditions. In Proceedings of the IECON 2018 - 44th Annu. Conf. of the IEEE Ind. Electron. Soc., Washington, DC, USA; 2018; pp. 1699–1704. [Google Scholar] [CrossRef]
- Tubniyom, C.; Jaideaw, W.; Chatthaworn, R.; Suksri, A.; Wongwuttanasatian, T. Effect of partial shading patterns and degrees of shading on Total Cross-Tied (TCT) photovoltaic array configuration. Energy Procedia 2018, 153, 35–41. [Google Scholar] [CrossRef]
- Das, P.; Mohapatra, A.; Nayak, B. Modeling and characteristic study of solar photovoltaic system under partial shading condition. Materials Today: Proceedings 2017, 4, 12586–12591. [Google Scholar] [CrossRef]
- Mohammadnejad, S.; Khalafi, A.; Ahmadi, S. M. Mathematical analysis of total-cross-tied photovoltaic array under partial shading condition and its comparison with other configurations. Solar Energy 2016, 133, 501–511. [Google Scholar] [CrossRef]
- Salem, F.; Awadallah, M. A. Detection and assessment of partial shading in photovoltaic arrays. J. Electr. Syst. Inf. Technol. 2016, 3, 23–32. [Google Scholar] [CrossRef]
- Tabanjat, A.; Becherif, M.; Hissel, D. Reconfiguration solution for shaded PV panels using switching control. Renewable Energy 2015, 82, 4–13. [Google Scholar] [CrossRef]
- Banu, I. V. ; Barkat, Fadila; Istrate, M.; Guerrero, J.M.; Culea, G. PV Solar Arrays Under Partial Shading. IEEE DataPort. 2024. [Google Scholar] [CrossRef]
- Patrao, I.; González-Medina, R.; Garcerá, G.; Figueres, E. An Algorithm for Emulating Photovoltaic Strings With Dynamic Partial Shadowing Capability: A Practical Study. IEEE Ind. Electron. Mag. 2023, 17, 61–69. [Google Scholar] [CrossRef]
- Sanchis, P.; López, J.; Ursúa, A.; Gubía, E.; Marroyo, L. On the testing, characterization, and evaluation of PV inverters and dynamic MPPT performance under real varying operating conditions. Prog. Photovolt: Res. Appl. 2007, 15, 541–556. [Google Scholar] [CrossRef]
- Ayop, R.; Tan, C. W. Rapid Prototyping of Photovoltaic Emulator Using Buck Converter Based on Fast Convergence Resistance Feedback Method. IEEE Trans. Power Electron. 2019, 34, 8715–8723. [Google Scholar] [CrossRef]
- Akinyele, D.; Belikov, J.; Levron, Y. Challenges of Microgrids in Remote Communities: A STEEP Model Application. Energies 2018, 11, 432. [Google Scholar] [CrossRef]
- Banu, I. V.; Istrate, M.; Machidon, D.; Pantelimon, R. Study regarding modeling photovoltaic arrays using test data in MATLAB/Simulink. UPB Sci. Bull. C: Electr. Eng. Comput. Sci. 2015, 77, 227–234. [Google Scholar]
- Available online: https://www.lg.com/us/business/download/resources/BT00002151/LG400N2W-A5.pdf.













| Parameter | Value |
|---|---|
| Maximum power (Pmax) | 400 W |
| MPP voltage (Vmpp) | 40.6 V |
| MPP current (Impp) | 9.86 A |
| Open circuit voltage (Voc) | 49.3 V |
| Short circuit current (Isc) | 10.47 A |
| Module efficiency (η) | 19.3% |
| Power tolerance | ±3% |
| Output Parameters | Case 1 | Case 2 | Case 3 | Case 4 |
|---|---|---|---|---|
| Maximum power (Pmax) | 2397.2 W | 1073.4 W | 1181.6 W | 1173 W |
| MPP voltage (Vmpp) | 121.92 V | 131.88 V | 83.958 V | 83.366 V |
| MPP current (Impp) | 19.662 A | 8.1393 A | 14.074 A | 14.071 A |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).