Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid
AC microgrid mainly comprise inverter-interfaced distributed generators (IIDGs), which are nonlinear complex systems with multiple time scales, including frequency control, time delay measurements, and electromagnetic transients. The droop control-based IIDG in an AC microgrid is selected as the res...
Main Authors: | , , , , |
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Format: | Journal Article |
Language: | English |
Published: |
2018
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Online Access: | https://hdl.handle.net/10356/87779 http://hdl.handle.net/10220/45529 |
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author | Meng, Xiaoxiao Wang, Qianggang Zhou, Niancheng Xiao, Shuyan Chi, Yuan |
author2 | School of Electrical and Electronic Engineering |
author_facet | School of Electrical and Electronic Engineering Meng, Xiaoxiao Wang, Qianggang Zhou, Niancheng Xiao, Shuyan Chi, Yuan |
author_sort | Meng, Xiaoxiao |
collection | NTU |
description | AC microgrid mainly comprise inverter-interfaced distributed generators (IIDGs), which are nonlinear complex systems with multiple time scales, including frequency control, time delay measurements, and electromagnetic transients. The droop control-based IIDG in an AC microgrid is selected as the research object in this study, which comprises power droop controller, voltage- and current-loop controllers, and filter and line. The multi-time scale characteristics of the detailed IIDG model are divided based on singular perturbation theory. In addition, the IIDG model order is reduced by neglecting the system fast dynamics. The static and transient stability consistency of the IIDG model order reduction are demonstrated by extracting features of the IIDG small signal model and using the quadratic approximation method of the stability region boundary, respectively. The dynamic response consistencies of the IIDG model order reduction are evaluated using the frequency, damping and amplitude features extracted by the Prony transformation. Results are applicable to provide a simplified model for the dynamic characteristic analysis of IIDG systems in AC microgrid. The accuracy of the proposed method is verified by using the eigenvalue comparison, the transient stability index comparison and the dynamic time-domain simulation. |
first_indexed | 2024-10-01T06:15:38Z |
format | Journal Article |
id | ntu-10356/87779 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:15:38Z |
publishDate | 2018 |
record_format | dspace |
spelling | ntu-10356/877792020-03-07T14:02:35Z Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid Meng, Xiaoxiao Wang, Qianggang Zhou, Niancheng Xiao, Shuyan Chi, Yuan School of Electrical and Electronic Engineering Inverter-interfaced Distributed Generator Nonlinear Multi-time Scale Model AC microgrid mainly comprise inverter-interfaced distributed generators (IIDGs), which are nonlinear complex systems with multiple time scales, including frequency control, time delay measurements, and electromagnetic transients. The droop control-based IIDG in an AC microgrid is selected as the research object in this study, which comprises power droop controller, voltage- and current-loop controllers, and filter and line. The multi-time scale characteristics of the detailed IIDG model are divided based on singular perturbation theory. In addition, the IIDG model order is reduced by neglecting the system fast dynamics. The static and transient stability consistency of the IIDG model order reduction are demonstrated by extracting features of the IIDG small signal model and using the quadratic approximation method of the stability region boundary, respectively. The dynamic response consistencies of the IIDG model order reduction are evaluated using the frequency, damping and amplitude features extracted by the Prony transformation. Results are applicable to provide a simplified model for the dynamic characteristic analysis of IIDG systems in AC microgrid. The accuracy of the proposed method is verified by using the eigenvalue comparison, the transient stability index comparison and the dynamic time-domain simulation. Published version 2018-08-08T01:13:24Z 2019-12-06T16:49:21Z 2018-08-08T01:13:24Z 2019-12-06T16:49:21Z 2018 Journal Article Meng, X., Wang, Q., Zhou, N., Xiao, S., & Chi, Y. (2018). Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid. Energies, 11(1), 254-. 1996-1073 https://hdl.handle.net/10356/87779 http://hdl.handle.net/10220/45529 10.3390/en11010254 en Energies © 2018 The Author(s). 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/). 25 p. application/pdf |
spellingShingle | Inverter-interfaced Distributed Generator Nonlinear Multi-time Scale Model Meng, Xiaoxiao Wang, Qianggang Zhou, Niancheng Xiao, Shuyan Chi, Yuan Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid |
title | Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid |
title_full | Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid |
title_fullStr | Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid |
title_full_unstemmed | Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid |
title_short | Multi-time scale model order reduction and stability consistency certification of inverter-interfaced DG system in AC microgrid |
title_sort | multi time scale model order reduction and stability consistency certification of inverter interfaced dg system in ac microgrid |
topic | Inverter-interfaced Distributed Generator Nonlinear Multi-time Scale Model |
url | https://hdl.handle.net/10356/87779 http://hdl.handle.net/10220/45529 |
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