An islanding detection method for multi-DG systems based on high-frequency impedance estimation

Jia, Ke and Wei, Hongsheng and Bi, Tianshu and Thomas, David W.P. and Sumner, Mark (2017) An islanding detection method for multi-DG systems based on high-frequency impedance estimation. IEEE Transactions on Sustainable Energy, 8 (1). pp. 74-83. ISSN 1949-3029

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Abstract

Active islanding detection methods are generally employed for grid-connected inverter-based Distributed Generation (DG). However, there might be mutual influences and power quality issues caused by the disturbance signal when multiple inverters are involved. To address those problems, this paper analyzes the potential failure mechanism of the f-Q (frequency-reactive power) drifting active method in multiple-DG situations. Then, a novel high frequency transient injection based islanding detection method that is suitable for both single and multiple-DGs is proposed. Compared with the conventional injection methods, a high frequency impedance model for DG is provided for better theoretical analysis. By means of the intermittent Time Domain Low Voltage Condition (TDLVC) injection control, this method can achieve good accuracy and reduce disturbances to power system. 

Item Type: Article
Additional Information: c2017 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.
Keywords: Islanding detection; Active injection method; High frequency impedance estimation; Multi-inverter-based DG
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.1109/TSTE.2016.2582846
Depositing User: Burns, Rebecca
Date Deposited: 06 Mar 2018 12:57
Last Modified: 06 Mar 2018 12:59
URI: http://eprints.nottingham.ac.uk/id/eprint/50204

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