| Summary: | The "AC-to-DC " high voltage direct current transmission project can effectively improve power transmission efficiency and address challenges such as limited space for new transmission lines. However, during actual operation, the switching of AC filters can cause harmonic distortion, affecting power quality. To address this issue, this paper analyzes field-recorded waveform data, extracts key characteristics during the AC filter switching process, and proposes engineering optimization measures. Additionally, considering the limitations of practical operational methods and experimental conditions, a refined simulation model was established based on actual system parameters. Using reinforcement learning algorithms, an optimized switching strategy for AC filter combinations was proposed. Simulation results demonstrate that this strategy can effectively reduce the total harmonic distortion (THD) and significantly improve system power quality, providing crucial technical sup-port for the stable operation of "AC-to-DC Conversion" projects.
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