PERFORMANCE ANALYSIS OF STANDALONE PHOTOVOLTAIC SYSTEM CONNECTED GRID WITH DIFFERENT CONTROLLERS
Keywords:Solar PV system, Grid, Water pumping System, Fuzzy, Fuzzy Tuned PI, PI, VSI, INC-MPPT
The induction motor drive can find widespread application in water pumping applications, particularly those that need for improved control in order to achieve higher levels of performance. In light of this, the study puts forth the idea of integrating a solar photovoltaic (SPV) water pumping system with a single- phase distribution system through the application of an induction motor drive (IMD) that incorporates a multi- mode power sharing concept. For the purpose of transferring power from the SPV to the IMD, a DC-DC boost converter serves not only as a grid interface device but also as a power factor correction unit. It is vital to extract the maximum amount of power from the SPV array in order to ensure good use of the SPV array. An incremental conductance-based maximum power point tracking control has been designed so that this objective can be fulfilled.
The suggested device has a controlling circuit that makes use of the fuzzy logic and fuzzy tuned PI controller. This circuit has the ability to effectively minimize the harmonics of the waveforms in three different modes. This has been contrasted with the scenario involving the PI controller, and performance was evaluated based on the waveforms produced by the system. The proposed topology is created and evaluated with the help of MATLAB/Simulink in three different modes: standalone, grid interfaced, and mixed mode. These modes represent different types of operational conditions.
Jain S., Karampuri, R. and Soma Sekhar, V.T., 2015. An integrated control algorithm for a singlestage PV pumping system using an open-end winding induction motor. IEEE Transactions on Industrial Electronics, 63(2),pp.956-965.
Argaw N., 2004. Renewable Energy Water Pumping Systems Handbook; Period of Performance: April 1--September 1, 2001 (No. NREL/SR-500- 30481). National Renewable Energy Lab., Golden, CO(US).
Elgendy M.A., Zahawi B. and Atkinson D.J., 2012. Assessment of the incremental conductance maximum power point tracking algorithm. IEEE Transactions on sustainable energy, 4(1), pp.108- 117.
Cui W., Luo H., Gu Y., Li W., Yang B. and He, X., 2015. Hybrid-bridge transformer less photovoltaic grid-connected inverter. IET Power Electronics, 8(3),pp.439-446.
Slabbert C. and Malengret M., 1998, July. Grid connected/solar water pump for rural areas. In IEEE International Symposium on Industrial Electronics. Proceedings. ISIE'98 (Cat. No. 98TH8357) (Vol. 1, pp. 31-34).IEEE
Jain S., Thopukara, A.K., Karampuri R. and Soma Sekhar, V.T., 2014. A single-stage photovoltaic system for a dual-inverter-fed open-end winding induction motor drive for pumping applications. IEEE Transactions on power Electronics, 30(9), pp.4809- 4818.
Elgendy M.A., Atkinson D.J. and Zahawi B., 2016. “Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates”. IET Renewable Power Generation, 10(2),pp.133-139.
Kish G.J., Lee J.J. and Lehn P.W., 2012. “Modelling and control of photovoltaic panels utilizing the incremental conductance method for maximum power point tracking. IET Renewable Power Generation, 6(4),pp.259-266.
Gnanavadivel J., N. Senthil Kumar, and P. Yogalakshmi. "Comparative study of PI, fuzzy and fuzzy tuned PI controllers for single-phase AC-DC three-level converter." Journal of Electrical Engineering and Technology 12, no. 1 (2017): 78-90.
Pasqualotto Dario, Fabio Tinazzi, and Mauro Zigliotto. "Enhanced solar water-pumping system driven by a synchronous reluctance motor." In 2021 22nd IEEE International Conference on Industrial Technology (ICIT), vol. 1, pp. 365-370. IEEE, 2021.
Sharma Utkarsh, Bhim Singh, and Shailendra Kumar. "Intelligent grid interfaced solar water pumping system." IET Renewable Power Generation 11,no.5(2017):614-624.