Islanding Detection of Distributed Generation Using Electrical Variables in Space Vector Domain
Autor: | Mollah Rezaul Alam, Barry Mather, Most. Tasneem Ara Begum |
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Rok vydání: | 2020 |
Předmět: |
business.industry
Computer science 020209 energy Energy Engineering and Power Technology 02 engineering and technology Permanent magnet synchronous generator AC power Transformation (function) Control theory Distributed generation 0202 electrical engineering electronic engineering information engineering Islanding Decision boundary Constant current Electrical and Electronic Engineering business Electrical impedance |
Zdroj: | IEEE Transactions on Power Delivery. 35:861-870 |
ISSN: | 1937-4208 0885-8977 |
DOI: | 10.1109/tpwrd.2019.2929784 |
Popis: | This paper presents a new approach for islanding detection in distribution systems incorporating synchronous generator-based distributed generations. The proposed method first utilizes the dynamic equations of three electrical variables under islanding situations. The variables are: change of frequency; rate of change of frequency; and rotor angle deviation. Second, transformation of these variables is conducted in the space vector domain, which gives rise to three parameters, namely, semi-major axis, semi-minor axis, and inclination angle. Finally, exploiting these parameters, a decision boundary is established to classify grid events resulting in the formation of an island or not. The proposed method is comprehensively investigated under different operating conditions, which include excess/deficit of reactive/active power imbalance scenarios in the formed island containing different load-types (constant impedance, constant power, and constant current) with varying quality factor. A large variety of islanding and non-islanding events are generated using a practical distribution network simulated in real time on OPAL-RT digital simulation platform under the aforementioned operating conditions. A detailed evaluation of the proposed approach is conducted and it demonstrates the effectiveness of the method. |
Databáze: | OpenAIRE |
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