Predictive optimal switching sequence direct power control for grid connected power converters
Grid connected power converters play a key role in several applications such as integration of renewable energy sources and motor drives. For this reason, the development of high performance control strategies for this particular class of power converters has increasingly attracted the interest of b...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/23512 |
| Acceso en línea: | http://hdl.handle.net/11441/23512 https://doi.org/10.1109/TIE.2014.2351378 |
| Access Level: | acceso abierto |
| Palabra clave: | AC-DC power converters Model predictive control Power converters Power electronics Smartgrid |
| Sumario: | Grid connected power converters play a key role in several applications such as integration of renewable energy sources and motor drives. For this reason, the development of high performance control strategies for this particular class of power converters has increasingly attracted the interest of both academic and industry researchers. This paper presents the predictive Optimal Switching Sequence Direct Power Control (OSS-DPC) algorithm for grid connected converters. The OSSDPC method belongs to the predictive direct power control (P-DPC) family and provides the desired power references by calculating globally optimal switching sequences. To address computational and implementation issues, an efficient control algorithm, named reduced OSS-DPC (ROSS-DPC) is introduced. The implementation of the proposed control strategy in a standard DSP is evaluated on a two-level power converter prototype working as a STATCOM. Experimental results show algorithm’s potential to provide high performance during both transient and steady states. |
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