Abstract
This paper shows a three-phase series resonant DC-DC boost converter simulation model with double LLC resonant tanks (SRC-W-DLLC-RTs) for a hybrid solar wind system (HSWS) with battery energy storage for a DC load. An intrinsic drawback of hybrid solar-wind technology is its intermittent and weather-dependent output voltage. An MPPT control algorithm-based DC-DC converter, which offers interfaces between a hybrid system and a DC load, can overcome this issue. Solar and wind power systems require separate converters. The lead-acid battery bank with a 3-phase interleaved bidirectional DC-DC buck-boost converter maintains a steady voltage at the DC link. The hybrid system is controlled by an adaptive neuro-fuzzy inference system-based particle swarm optimization (ANFIS-PSO)-MPPT control technique to maximize output. A variable frequency modulation approach generates gating pulses for the converter's switches. An ANFIS-PSO MPPT control algorithm-based resonant converter is simulated with MATLAB using SIMULINK for DC load, and its performance is analyzed for the suggested system for different load conditions.
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CITATION STYLE
Parveen, H., & Ram, A. R. (2023). A PSO-ANFIS MPPT-Based 3-Phase Series Resonant Converter with DLLC Tanks for Hybrid Solar Wind Battery System with DC-Load. SSRG International Journal of Electrical and Electronics Engineering, 10(7), 199–210. https://doi.org/10.14445/23488379/IJEEE-V10I7P118
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