کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

صفحه اصلی / هشتمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

Model Predictive Control of Three-Phase Four-Leg MMC-Based STATCOM Under Nonlinear Load Phase Switching Conditions

نویسندگان :

Milad Samady Shadlu¹

1- Bojnourd Branch Islamic Azad University

کلمات کلیدی :

Average model, Model predictive control, Modular multilevel converter, MMC-based STATCOM, Nonlinear load phase switching conditions.

چکیده :

Current and power model predictive control (MPC) has been widely performed to control modular multilevel converters (MMCs) in recent years. Using the MPC-based method to control MMCs in high-power applications leads to a high computational burden due to a large number of submodules in the MMC topology. To overcome this problem, we propose a novel controller with lower computational complexity in this paper by combining the conventional average model (AM) and model predictive control (MPC) to control a three-phase four-leg STATCOM based on MMC. The cost function in the proposed model consists of three parts, including output ac currents, circulating currents, and energy stored in the sub-modules. The MMC-based STATCOM structure feeds a nonlinear and unbalanced load energized by two phases. The performance of the proposed control model is evaluated under nonlinear load phase switching conditions. The simulation results in MATLAB/Simulink environment demonstrate the effectiveness of the proposed control model.