Grid Incorporated PV System with SBQZS Converter Controlled using Optimization Techniques
Grid Incorporated PV System with SBQZS Converter Controlled using Optimization Techniques |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-9 |
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| Year of Publication : 2023 | ||
| Author : P.K. Dhal, K. Barathi |
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| DOI : 10.14445/22315381/IJETT-V71I9P224 | ||
How to Cite?
P.K. Dhal, K. Barathi, "Grid Incorporated PV System with SBQZS Converter Controlled using Optimization Techniques," International Journal of Engineering Trends and Technology, vol. 71, no. 9, pp. 265-281, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I9P224
Abstract
The increasing depletion of fossil fuels combined with global warming and climate variation has necessitated the development and high-level infusion of Renewable Energy Sources (RES) to electric power systems. Among these RESs, the Photovoltaic (PV) system that transforms solar power into electricity is easily accessible with huge untapped potential. The interfacing of the PV system to the load/grid requires the application of a high-gain converter. So, a high gain Switched Boost Quasi Z-Source (SBQZS) converter is proposed with a maximum gain of 1:10. The proposed converter is effective in overcoming the limitations of conventional converters in enhancing the reliability and efficiency of the system by improving the current profile and reducing the voltage stress. The converter control is accomplished by a PI controller, the parameters of which are tuned using optimization algorithms like Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Chicken Swarm (CS) and their performances are analogized. The performance of the proposed configuration is analyzed by simulation in MATLAB and hardware by FPGA Spartan 6E, which results in a maximum efficiency of 97% and minimizes THD.
Keywords
PV system, Particle Swarm Optimization, Artificial Bee Colony, Chicken Swarm Algorithm, Grid Synchronization, SBQZS.
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