• S.Navenraj
• m.sidheswaran
• Dr.s.krishnan

Modular Multilevel Converters (MMC) have gained significant attention in high-voltage direct current (HVDC) transmission systems due to their superior performance in terms of voltage waveform quality and efficiency. However, one critical issue that MMCs face is the presence of low-order circulating currents among the sub module capacitors. These circulating currents can degrade system performance, increase losses, and potentially lead to module failures if not properly controlled.This paper presents the design and implementation of AI-based controllers to minimize low order circulating currents in MMCs. Both fuzzy logic and artificial neural networks (ANNs) are effective in reducing harmonic currents in DC-link systems and perform well even when the AC grid conditions are unbalanced. This makes them suitable for use in multi-frequency AC systems. Simulation results confirm that the proposed methods are accurate and reliable in controlling circulating currents

modular multilevel converter, HVDC, AI based controllers

"Design of AI based Controllers for Minimizing Low-Order Circulating Currents in Modular Multilevel Converters ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 8, page no.f94-f100, August-2024, Available :http://www.jetir.org/papers/JETIR2408614.pdf

"Design of AI based Controllers for Minimizing Low-Order Circulating Currents in Modular Multilevel Converters ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 8, page no. ppf94-f100, August-2024, Available at : http://www.jetir.org/papers/JETIR2408614.pdf