Grid connected Photovoltaic (PV) system installations are rapidly growing around the globe to meet the increasing demand of electricity, leading to a high penetration to the electric grid. Tremendous efforts should be employed to sustain the operation of the PV system at the optimal level. Due to its non-linear nature, PV system can’t handle electrical faults, which may lead to voltage sag at DC side while simultaneously producing dynamics at AC side. This work offers techniques for improving the dynamic performance of the PV system by controlling voltage sag through the application of fuzzy logic based maximum power point techniques (MPPT) at DC-DC boost converter and the regulation of dynamics at inverter by using positive and negative sequence current controlling techniques during grid faults. In the event a fault occurs, fuzzy logic based MPPT controller will be activated, instead of the simple MPPT techniques. These techniques are implemented by designing 1 MW PV system in MATLAB/SIMULINK and validating the results by introducing faults in the implemented system.
Amir Nangya: US Pakistan Center for Advance Studies in Energy (USPCAS-E) UET Peshawar
Dr. Abdul Basit: US Pakistan Center for Advance Studies in Energy (USPCAS-E) UET Peshawar
M. Asif Khan: US Pakistan Center for Advance Studies in Energy (USPCAS-E) UET Peshawar
Zeeshan Ullah: US Pakistan Center for Advance Studies in Energy (USPCAS-E) UET Peshawar
Amir Nangyal Dr. Abdul Basit M. Asif Khan and Zeeshan Ullah Improvement of Dynamic Performance using the Grid-Tied Photovoltaic (PV) System with Nonlinear Co International Journal of Engineering Works Vol. 6 Issue 12 PP. 459-465 December 2019
. Bacon, A. A. (2016). Dynamic Performace Improvement of Grid connected PV system using a Feed Forward Control Acting on the NPC Inverter Currents. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 10.
. Yeqin Wang, B. R. (2017). Fault Ride-Through Enhancement for Grid-tied PV Systems with Robust Control. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 11.
. Esmaeil Zangeneh Bighash, S. M. (Nov 2017). Improving performance of LVRT capability in single-phase grid-tied PV inverters by a model-predictive controller. ScienceDirect,Electrical Power and Energy Systems, Elsevier Ltd., 13.
. C. Larbes, S. A. (2009). Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system. ELSEVIER, 8.
. Camilo C. Gomes, A. F. (2018). Damping techniques for grid-connected voltage source converters based on LCL filter: An overview. ELSEVIER, 20.
. Hasanien, H. M. (Dec 2017). Performance improvement of photovoltaic power systems using anoptimal control strategy based on whale optimization algorithm. ELSEVIER Electric Power Systems Research, 9.
. Chin, C. S. (2011). Fuzzy Logic Based MPPT for Photovoltaic Modules Influenced by Solar Irradiation and Cell Temperature. 13th International Conference on Modelling and Simulation, (p. 6). UKSim .
. Prajna Paramita Dash, M. K. (2011). Dynamic Modeling and Performance Analysis of a Grid-Connected Current-Source Inverter-Based Photovoltaic System. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 9.
. M. K. Hossain and M.H. Ali, “Overview on Maximum Power Point Tracking (MPPT) Techniques for Photovoltaic Power Systems,” Int. Rev. Electr. Eng., vol. 8, no. 4, pp. 1363–1378, 2013.
. W. Kou, D. Wei, P. Zhang, and W. Xiao, “A Direct Phase-coordinates Approach to Fault Ride Through of Unbalanced Faults in Large-scale Photovoltaic Power Systems,” Electr. Power Components Syst., vol. 43, no. 8–10, pp. 902–913, 2015.
. C. T. Lee, C. W. Hsu, and P. T. Cheng, “A low-voltage ride-through technique for grid-connected converters of distributed energy resources,” IEEE Trans. Ind. Appl., vol. 47, no. 4, pp. 1821–1832, 2011.
. Patsalides-M, Stavrou A, Efthymiou V, Georghiou GE. Towards the establishment of maximum PV generation limits due to power quality constraints. Electr Power Energy Syst 2012; 42:285 98.
. Pena -Alzola R, Liserre-M, Blaabjerg F,-Sebastian R, Dannehl J, Fuchs FW. Analysis of the passive damping losses in lcl-filter-based grid converters. IEEE Trans Power Electron 2013; 28:2642–6.
. M.S.-At Cheikh, C. Larbes, G. F. “Maximum-power point-tracking using a fuzzy logic-control scheme”, Revue des energies-Renouvelables, Vol. 10, 2007, pp. 387-395.
. Salas-V, Olıas E,-Barrado A, Lazaro A. Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems. Solar Energy Materials & Solar Cells 2006; 90:1555–78.
. EsramT,-Chapman PL. Comparison-of photo-voltaic array maximum-power point tracking methods-IEEE Transactions on Energy Conversion June 2007;22(2).