Abstract

Power generation and renewable energy consumption benefit greatly from integrated solar grid systems. However, the intermittent nature of solar electricity and potential voltage swings might raise power quality concerns when solar energy is integrated with the grid. The benefits of the split-source inverter architecture include higher efficiency, lower harmonic distortion, and the ability of power flow in both directions. The ANFIS controller improves the control parameters of the single-stage split-source inverter, eliminating power quality issues including voltage fluctuations, harmonics, and reactive power variations. These difficulties can negatively affect the overall quality of power. ANFIS-based control of the solar-grid integrated system guarantees optimal power conversion, precise voltage management, and higher power quality by intelligently altering the control settings. ANFIS solar electricity and potential voltage swings might raise power quality concerns when solar energy is integrated with the grid. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS)- based control with split source inverters, this research provides a unique method to improve power quality in solar-grid integrated systems. The benefits of the split-source inverter architecture include higher efficiency, lower harmonic distortion, and the ability for power to flow in both directions. The ANFIS controller improves the control parameters of the single-stage split-source inverter, eliminating power quality issues including voltage fluctuations, harmonics, and reactive power variations. These difficulties can negatively impact the power's overall quality. ANFIS-based control of the solar-grid integrated system dynamically adjusts the voltage and current waveforms in response to variations in solar irradiation and grid circumstances. The simulation results show that the harmonic distortion is lowered, voltage stability is enhanced, and reactive power is managed more effectively.

Full Text
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