Research on Improving the Communication Security of Flexible DC Converter Valve Control System using Advanced Signal Processing Algorithms

Abstract

To address the interference challenges in complex electromagnetic environments, this paper introduces an innovative solution leveraging a hybrid LMS-FFT algorithm aimed at enhancing the system's communication security. Initially, this study thoroughly examines the operating structure and communication principles of the flexible DC converter valve control device, and systematically investigates the limitations faced by current technologies in intricate electromagnetic conditions. By combining the adaptive filtering algorithm LMS (least mean square) with the frequency domain analysis method FFT (fast Fourier transform), a hybrid modeling technique is developed. This approach effectively mitigates noise interference in both the time and frequency domains. Through comparative simulations of the LMS algorithm, FFT algorithm, and the LMS-FFT hybrid algorithm, the results reveal that the LMS-FFT hybrid approach demonstrates substantial improvements in terms of signal processing precision, convergence speed, and anti-interference capability, particularly in challenging electromagnetic environments. Experimental results further confirm the algorithm's ability to enhance the communication security and reliability of the flexible DC converter valve control system, suggesting significant potential for practical application across a variety of scenarios.