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A Nonlinear Controller Design for Power Conversion Units in Islanded Micro-grids using Interconnection and Damping Assignment Tracking Control
Conventional controllers for electronically interfaced distributed generators (EI-DGs) that utilize droop controllers along with voltage/current proportional-Integral (PI) controllers illustrate undesirable transient responses in facing large disturbances generated following the changes in the syste...
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Published in: | IEEE transactions on sustainable energy 2021-01, Vol.12 (1), p.284-292 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Conventional controllers for electronically interfaced distributed generators (EI-DGs) that utilize droop controllers along with voltage/current proportional-Integral (PI) controllers illustrate undesirable transient responses in facing large disturbances generated following the changes in the system operating point. This article presents a nonlinear tracking controller for multisource EI-DGs operating in islanded micro-grids (MGs). The proposed controller is designed based on interconnection and damping assignment passivity-based controller (IDA-PBC) in the synchronous reference frame (SRF). The controller accounts for the complete dynamics of power conversion units (PCU) components that include DC/DC boost converters coupled with DC/AC inverter units through the interlinking capacitor and are connected to the grid through LC filters. The proposed controller enables PCUs to smoothly suppress the voltage/current and active/reactive power transitions during system operating point changes while precisely track the reference commands generated by the droop controllers. A set of time-domain simulations using realistic modeling of components of PCUs are carried out on a multi-resource islanded MG to validate the results. The performance of the proposed method is compared with that of PI controllers and existing nonlinear control strategies. |
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ISSN: | 1949-3029 1949-3037 |
DOI: | 10.1109/TSTE.2020.2992535 |