Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68340
Title: Predictive control of power electronics converters in renewable energy systems
Authors: Hu, JF 
Cheng, KWE 
Keywords: Predictive control
Power converters
Renewable energy
Distributed generation
Issue Date: 2017
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Energies, 2017, v. 10, no. 4, 515, p. 1-14 How to cite?
Journal: Energies 
Abstract: Predictive control has attracted much attention and has been widely used in power electronics and electric drives. However, further developments for applications in the field of renewable energy systems are still under investigation. In this paper, the principles of predictive control are studied with a focus on model predictive control (MPC) and vector-sequence-based predictive control (VPC). Based on these techniques, two control strategies for flexible power supply are developed. They are implemented in the most promising renewable energy systems, namely solar photovoltaic (PV) systems and wind generators, respectively. The experimental results based on a laboratory prototype show that the active and reactive powers supplied by the PV and wind generator can be controlled flexibly with excellent steady-state and transient performance. As the penetration level of the renewable energy sources in electricity network continues to rise, predictive control tends to be an attractive and powerful technique for power electronics converters in renewable energy systems.
URI: http://hdl.handle.net/10397/68340
ISSN: 1996-1073
DOI: 10.3390/en10040515
Rights: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Hu, J., & Cheng, K. W. E. (2017). Predictive Control of Power Electronics Converters in Renewable Energy Systems. Energies, 10(4), 515, 1-14 is available at http://dx.doi.org/10.3390/en10040515
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