학술논문

Fault-Tolerant Predictive Current Control with Input Reactive Power Minimization in Six-phase Generation System Driven by a Multi-Modular Matrix Converter
Document Type
Conference
Source
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA) Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA), 2022 IEEE International Conference on. :1-6 Oct, 2022
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Engineering Profession
Geoscience
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Reactive power
Fault tolerance
Fault tolerant systems
Power quality
Switches
Predictive models
Minimization
Fault-Tolerant
Multi-Modular Matrix Converter
Predictive Control
Reactive Power Minimization
Language
Abstract
Multiphase generation systems are emerging as a promising technology for power generation under the distributed generation framework. These systems employ converters that present high levels of reactive power at the input, due to the switching of power switches, thus increasing losses. In this work, a strategy based on model-based predictive control using a weighted cost function is proposed to achieve the desired current and mitigate the reactive power at the input. The proposal shows a 55.72% and 29.10% reduction of THD on the generator side, without fault and when the system presents faults in module 1, respectively, which represents an improvement in power quality.