Work

State estimation and iterative strategy for nonlinear differential control in modular multilevel converters

Year: 2025

Type: article

Abstract: This paper presents an advanced nonlinear differential control methodology for modular multilevel converter (MMC) systems, integrating particle filter-based state estimation with a continuous iteration strategy to address the challenges posed by strong nonlinearities, external disturbances, and observation noise. The proposed approach leverages particle filtering to effectively manage nonlinear dynamics and non-Gaussian noise, while the continuous iteration strategy decomposes the complex nonlinear control problem into tractable linear subproblems. Theoretical analysis demonstrates the method's global convergence, robustness, and computational efficiency through Lyapunov stability theory and Barbalat's lemma. Comprehensive simulation results validate the method's effectiveness in achieving high-performance control of MMC systems under various operating conditions, particularly in high-voltage direct-current (HVDC) transmission and grid-connected renewable energy applications.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2025.110981

Authors: Siyu Zhu, Fuxiao Tan

Institution: Shanghai Maritime University

Language: English

Topic: HVDC Systems and Fault Protection

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,920

Funders: National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality