Analysis of Maximum PowerPoint Tracking (MPPT) Adaptability in Inverters of the Three-Phase Photovoltaic Systems Integrated into the Electrical Grid of Congo-Brazzaville
This paper investigates the adaptability of Maximum Power Point Tracking (MPPT) algorithms in single-stage three-phase photovoltaic (PV) systems connected to the grid of Congo-Brazzaville and compares the attributes of various conventional, significance and novelty of controller system of the proposed of method and improved Incremental Conductance algorithms, Perturbation and Observation Techniques, and other Maximum Power Point Tracking (MPPT) algorithms in normal and partial shading conditions. Performance evaluation techniques are discussed on the basis of the dynamic parameters of the PV system although the control of this structure is relatively advanced technology but the conversion efficiency is difficult to improve due to increase in transformation series. The single stage topology has a simple topology with high reliability and efficiency because of high power consumption, but control algorithm is more complex because of its power convert main circuit a new strategy is being developed. This paper describes a method for maximum power point tracking (MPPT) in the single-stage and three single-phase PV grid-connected system. In the paper, the nonlinear output characteristics of the PV including I-V & P-V are obtained in changed solar insulations or temperature based on MATLAB, and the MPPT algorithm which is based on the P & O algorithm method, compared with Incremental Conductance, is also described, a dimensioning of the impedance adapter for better stabilization. A comparison SPWM and SVPWM control methods in the case of a grid connection applied to the electrical grid of Republic of Congo and their influences on the dynamic performance of the system and their impact in reducing the harmonic rate for better injection into the grid. The simulation model of three single-phase PV grid-connected system is built, and simulation results show the MPPT algorithm has excellent dynamic and static performances, which verifies the Incremental Conductance is effective for MPPT in the single-stage and three single-phase PV grid-connected system.
References
[1]
Shimizu, T., Hashimoto, O. and Kimura, G. (2003) A Novel High-Performance Utility-Interactive Photovoltaic Inverter System. IEEETransactionsonPowerElectronics, 18, 704-711. https://doi.org/10.1109/tpel.2003.809375
[2]
Esram, T., Kimball, J.W., Krein, P.T., Chapman, P.L. and Midya, P. (2006) Dynamic Maximum Power Point Tracking of Photovoltaic Arrays Using Ripple Correlation Control. IEEETransactionsonPowerElectronics, 21, 1282-1291. https://doi.org/10.1109/tpel.2006.880242
[3]
Femia, N., Petrone, G., Spagnuolo, G. and Vitelli, M. (2005) Optimization of Perturb and Observe Maximum Power Point Tracking Method. IEEETransactionsonPowerElectronics, 20, 963-973. https://doi.org/10.1109/tpel.2005.850975
[4]
Zeng, Q.R. and Chang, L.C. (2005) Improved Current Controller Based on SVPWM for Three-Phase Grid-Connected Voltage Source Inverters. PowerElectronicsSpecialistsConference, Dresden, 16 June 2005, 2912-2917.
[5]
Taherbaneh, M. and Menhaj, M.B. (2007) A Fuzzy-Based Maximum Power Point Tracker for Body Mounted Solar Panels in LEO Satellites. 2007 IEEE/IASIndustrial&CommercialPowerSystemsTechnicalConference, Edmonton, 6-11 May 2007, 1-6. https://doi.org/10.1109/icps.2007.4292092
[6]
Li, P., Zhang, L., Wang, Y. and Sheng, Y.-B. (2008) Research on the Control of the Single-Stage Photovoltaic System in Microgrid. 2008 ChinaInternationalConferenceonElectricityDistribution, Guangzhou, 10-13 December 2008, 1-7. https://doi.org/10.1109/ciced.2008.5211660
[7]
Alonso-Martinez, J., Eloy-Garcia, J. and Arnaltes, S. (2009) Control of a Three-Phase Grid-Connected Inverter for Photovoltaic Application with a Fuzzy MPPT under Unbalanced Conditions. 13thEuropeanConferenceonPowerElectronicsandApplications, Barcelona, 8-10 September 2009, 1-7.
[8]
Carannante, G., Fraddanno, C., Pagano, M. and Piegari, L. (2009) Experimental Performance of MPPT Algorithm for Photovoltaic Sources Subject to Inhomogeneous Insolation. IEEETransactionsonIndustrialElectronics, 56, 4374-4380. https://doi.org/10.1109/tie.2009.2019570
[9]
Bouchafaa, F., Beriber, D. and Boucherit, M.S. (2010) Modeling and Simulation of a Gird Connected PV Generation System with MPPT Fuzzy Logic Control. 2010 7thInternationalMulti-ConferenceonSystems, SignalsandDevices, Amman, 27-30 June 2010, 1-7. https://doi.org/10.1109/ssd.2010.5585530
[10]
Tey, K.S. and Mekhilef, S. (2014) Modified Incremental Conductance MPPT Algorithm to Mitigate Inaccurate Responses under Fast-Changing Solar Irradiation Level. SolarEnergy, 101, 333-342. https://doi.org/10.1016/j.solener.2014.01.003
[11]
Sivakumar, P., Abdul Kader, A., Kaliavaradhan, Y. and Arutchelvi, M. (2015) Analysis and Enhancement of PV Efficiency with Incremental Conductance MPPT Technique under Non-Linear Loading Conditions. RenewableEnergy, 81, 543-550. https://doi.org/10.1016/j.renene.2015.03.062
[12]
Sudhakar Babu, T., Rajasekar, N. and Sangeetha, K. (2015) Modified Particle Swarm Optimization Technique Based Maximum Power Point Tracking for Uniform and under Partial Shading Condition. AppliedSoftComputing, 34, 613-624. https://doi.org/10.1016/j.asoc.2015.05.029
[13]
Kotti, R. and Shireen, W. (2015) Efficient MPPT Control for PV Systems Adaptive to Fast Changing Irradiation and Partial Shading Conditions. SolarEnergy, 114, 397-407. https://doi.org/10.1016/j.solener.2015.02.005
[14]
Harrag, A. and Messalti, S. (2015) Variable Step Size Modified P&O MPPT Algorithm Using Ga-Based Hybrid Offline/Online PID Controller. RenewableandSustainableEnergyReviews, 49, 1247-1260. https://doi.org/10.1016/j.rser.2015.05.003
[15]
Verma, D., Nema, S., Shandilya, A.M. and Dash, S.K. (2016) Maximum Power Point Tracking (MPPT) Techniques: Recapitulation in Solar Photovoltaic Systems. RenewableandSustainableEnergyReviews, 54, 1018-1034. https://doi.org/10.1016/j.rser.2015.10.068
[16]
Li, X., Wen, H., Jiang, L., Xiao, W., Du, Y. and Zhao, C. (2016) An Improved MPPT Method for PV System with Fast-Converging Speed and Zero Oscillation. IEEETransactionsonIndustryApplications, 52, 5051-5064. https://doi.org/10.1109/tia.2016.2599899
[17]
Ling, L., Wu, X.L., Liu, M.Y., Zhu, Z.Q., Li, Y. and Shang, B.B. (2016) Development of Photovoltaic Hybrid LED Street Lighting System. 2016 IEEEAdvancedInformationManagement, Communicates, ElectronicandAutomationControlConference (IMCEC), Xi’an, 3-5 October 2016, 729-732. https://doi.org/10.1109/imcec.2016.7867305
[18]
Loukriz, A., Haddadi, M. and Messalti, S. (2016) Simulation and Experimental Design of a New Advanced Variable Step Size Incremental Conductance MPPT Algorithm for PV Systems. ISATransactions, 62, 30-38. https://doi.org/10.1016/j.isatra.2015.08.006
[19]
Husain, M.A., Tariq, A., Hameed, S., Arif, M.S.B. and Jain, A. (2017) Comparative Assessment of Maximum Power Point Tracking Procedures for Photovoltaic Systems. GreenEnergy&Environment, 2, 5-17. https://doi.org/10.1016/j.gee.2016.11.001
[20]
Dousoky, G.M. and Shoyama, M. (2017) New Parameter for Current-Sensorless MPPT in Grid-Connected Photovoltaic Vsis. SolarEnergy, 143, 113-119. https://doi.org/10.1016/j.solener.2016.12.047
[21]
Messalti, S., Harrag, A. and Loukriz, A. (2017) A New Variable Step Size Neural Networks MPPT Controller: Review, Simulation and Hardware Implementation. RenewableandSustainableEnergyReviews, 68, 221-233. https://doi.org/10.1016/j.rser.2016.09.131
[22]
Ezinwanne, O., Zhongwen, F. and Zhijun, L. (2017) Energy Performance and Cost Comparison of MPPT Techniques for Photovoltaics and Other Applications. EnergyProcedia, 107, 297-303. https://doi.org/10.1016/j.egypro.2016.12.156
[23]
Tey, K.S., Mekhilef, S., Seyedmahmoudian, M., Horan, B., Oo, A.T. and Stojcevski, A. (2018) Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems under Partial Shading Conditions and Load Variation. IEEETransactionsonIndustrialInformatics, 14, 4322-4333. https://doi.org/10.1109/tii.2018.2793210