Modulated Model Predictive Control for Multilevel Cascaded H-Bridge Converter-Based Static Synchronous Compensator

Abstract

The model predictive control (MPC) methods have been widely applied due to the fast dynamic performance and multiple control targets. However, they show certain limits when applied to the multilevel converters, such as unfixed switching frequency, large computation burden, and complex weighting factors selection. This paper proposes a novel modulated model predictive control (M 2 PC) method for cascaded H-bridge (CHB) converter based static synchronous compensator (STATCOM). Instead of multi-targets integration and weighting factors design, the proposed method disintegrates the voltage balancing control process from the cost function. The evaluated control sets for output current control is decided by the search step and the search range in each period. By proper design and selection of the adaptive search step for the output voltage references under α-β coordinate, the search range can be reduced, which greatly reduces the number of evaluated control sets in each control period. Therefore, the dynamic of output characteristics and the low prediction computation burden of the MPC method are guaranteed simultaneously. In addition, with the simple and independent integration of the capacitor voltage balancing control, the proposed method can be easily applied in the CHB converter based STATCOM application. Furthermore, this paper provides a delay compensation for the prediction process, and it provides a fixed switching frequency for each H-bridge cell. Simulation and experimental results verify the effectiveness of the proposed M 2 PC method.

A Novel Detection and Localization Approach of Open-Circuit Switch Fault for the Grid-Connected Modular Multilevel Converter

“…The runtime cycles of the basic operations are listed in Table V [28], and the computation burden comparison of the software-based approaches is shown in Table VI. It is noted F 0 is defined as the sampling cycles in each fundamental period.…”

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

“…Refs. [12][13][14][15][16][17][18] listed some of the most effective controllers used for power converters, including sliding mode, fuzzy-based, and model predictive control techniques. These methods are more desirable for practical usage as they depict better output regulation, lower sensitivity to more comprehensive disturbances, and higher control adaptability.…”

Space Vector Pulsewidth Modulation Strategy for Multilevel Cascaded H-Bridge Inverter With DC-Link Voltage Balancing Ability

“…As this configurational concept proceeds, the inverter output voltage waveform nears a sinusoid; with less harmonics content. CHB inverters are popularly deployed in power electronic transformer applications, [1], [2], [3], static synchronous compensator (STATCOM) [4], [5] energy storage system, [6], [7], [8]. They also have wide application in renewable generation systems, [9], [10], [11]; as well as in electric drive applications, [12], [13] and charging stations [14].…”