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Finite-Set Model Predictive Control of an Asymmetric Cascaded H-bridge photovoltaic inverter.
- Source :
-
Applied Surface Science . Apr2019, Vol. 474, p102-110. 9p. - Publication Year :
- 2019
-
Abstract
- Graphical abstract Highlights • Multi-string PV systems provide several advantages over other topologies. • Asymmetric Cascaded H-bridge (ACHB) inverter is attractive for photovoltaic applications. • Regulation of the dc-link capacitor voltages is the most important problem of the ACHB inverter. • This paper proposes a simple and powerful FS-MPC to control an Asymmetric Cascaded H-Bridge Photovoltaic Inverter. Abstract This paper presents a Finite-Set Model Predictive Control (FS-MPC) method adapted for an Asymmetric and Cascaded H-bridge Photovoltaic inverter (ACHB). This advanced control approach is designed to: Ensure an independent Maximum Power Point Tracking (MPPT), Synthesize at the inverter output a sinusoidal multistep PWM waveform, and provide an output current with unity power factor and low harmonic distortion. ACHB seems to be a perfect candidate for Photovoltaic systems. However, the control of such kind of converters is quite a challenging task. On the other hand, FS-MPC has achieved great popularity due to the ease with which the constraints, nonlinearities, and switching actions can be included in the controller formulation. Classical approach to tune the FS-MPC parameters is not fruitful for an ACHB. In this concern, we propose, new and dynamic, parameters for the FS-MPC algorithm. This approach is evaluated under different operating conditions including robustness tests. Results provide that the proposed FS-MPC method features a great flexibility and control potential. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01694332
- Volume :
- 474
- Database :
- Academic Search Index
- Journal :
- Applied Surface Science
- Publication Type :
- Academic Journal
- Accession number :
- 134660764
- Full Text :
- https://doi.org/10.1016/j.apsusc.2018.04.166