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Bidirectional DC-DC converters for distributed energy resources: Robust predictive control with structurally-adaptive extended state observers.
- Source :
-
International Journal of Electrical Power & Energy Systems . Jul2024, Vol. 158, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Distributed energy resources (DER) are integrated into a microgrid through dc-dc power electronic converters. The bidirectional dc-dc converter regulates charging and discharging operations of ESS. Model predictive control (MPC), is a high-performance control technique for these converters, but it is limited in robustness to parameter mismatch, model uncertainties and sensor measurement noise. Therefore, in this paper, an improved hybrid cascade-parallel extended state observer (CP-ESO) is proposed, for model-free predictive control, to guarantee both robustness to parameter/model uncertainties and measurement noise suppression. A novel structurally-adaptive ESO scheme is also proposed to improve the disturbance rejection of CP-ESO during transient response. These results are supported by analysis and design guidelines for the selection of optimal sub-frequencies. Experimental results, for a bidirectional dc-dc boost converter, validate the effectiveness of the proposed methods against model uncertainties, external disturbances from variable input voltage and load, as well as measurement noise. • Analysis and design guidelines for multi-frequency extended state observers (ESO). • Improved cascade-parallel extended state observer with better noise suppression. • Novel structurally-adaptive ESO that gives better transient disturbance rejection. • Experimental validation with a bidirectional dc-dc boost power converter. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DC-to-DC converters
*POWER resources
*ROBUST control
*MICROGRIDS
*PREDICTION models
Subjects
Details
- Language :
- English
- ISSN :
- 01420615
- Volume :
- 158
- Database :
- Academic Search Index
- Journal :
- International Journal of Electrical Power & Energy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 176865829
- Full Text :
- https://doi.org/10.1016/j.ijepes.2024.109913