Performance Study of a Novel Soft Switching Two Switch Enhanced Gain Modified SEPIC in Hybrid Solar-Wind Systems Featuring Battery Storage
International Journal of Electrical and Electronics Engineering |
© 2024 by SSRG - IJEEE Journal |
Volume 11 Issue 11 |
Year of Publication : 2024 |
Authors : Heena Parveen, A. Raghu Ram |
How to Cite?
Heena Parveen, A. Raghu Ram, "Performance Study of a Novel Soft Switching Two Switch Enhanced Gain Modified SEPIC in Hybrid Solar-Wind Systems Featuring Battery Storage," SSRG International Journal of Electrical and Electronics Engineering, vol. 11, no. 11, pp. 360-372, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I11P134
Abstract:
This paper introduces a novel Soft-Switching, Two-Switch Enhanced Gain Modified SEPIC (SS-TSEGS) DC-DC converter for a Hybrid Solar-Wind System (HSWS) equipped with a battery bank storage system. The proposed converter is developed to align power production with load demand, and Zero Voltage Switching (ZVS) significantly improves its efficiency. The HSWS can work in both standalone and grid-connected modes. It provides power to DC (resistive) and AC loads (such as three-phase induction motors) in standalone mode. Power is supplied to the AC grid in grid-connected mode through a 3- Variac. To address the variability in power generation from the HSWS, a Particle Swarm Optimization-based Adaptive Neuro-Fuzzy Inference System (PSO-ANFIS) is employed for Maximum Power Point Tracking (MPPT). This ensures that the solar and wind systems generate power that is aligned with their rated capacities. A battery bank keeps the DC-link voltage constant for continuous and reliable operation. The performance of the DC/DC proposed converter and the entire hybrid system is evaluated through a simulation model designed in MATLAB/Simulink. The results demonstrate the effectiveness and efficiency of the SS-TSEGS converter in managing hybrid solar wind energy systems.
Keywords:
Soft switching two switch enhanced gain modified SEPIC DC-DC converter, Solar system, Wind system, Battery system, DC-load, AC-load, Grid, PSO-ANFIS MPPT controller.
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