Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144525
Title: Autonomous DC-link voltage restoration for grid-connected power converters providing virtual inertia
Authors: Guo, Ke
Fang, Jingyang
Tang, Yi
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Guo, K., Fang, J., & Tang, Y. (2018). Autonomous DC-Link Voltage Restoration for Grid-Connected Power Converters Providing Virtual Inertia. 2018 IEEE Energy Conversion Congress and Exposition (ECCE), 6387-6391. doi:10.1109/ecce.2018.8557440
Abstract: Renewable energy sources have been increasingly adopted to reduce greenhouse emissions. However, they are normally interfaced with power grids through grid-connected power converters without any inertia contribution. This will lead to the decreased power system inertia. As a solution, the method of inertia emulation by power converters has been reported to handle this problem. However, the DC-link capacitors of power converters cannot restore their voltages after injecting the power required by inertia emulation. Thus, if the load change causes another DC-link voltage drop, the undesirable overmodulation may appear. Moreover, power converters cannot provide multiple inertia support during cascading frequency events without the DC-link voltage recovery. To address the above concerns, this paper proposes an autonomous DC-link voltage restoration method that allows the restoration of DC-link voltages after individual frequency events. Simulation and experimental results verify the feasibility of the proposed method.
URI: https://hdl.handle.net/10356/144525
ISBN: 978-1-4799-7312-5
DOI: 10.1109/ECCE.2018.8557440
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ECCE.2018.8557440.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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