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Load angle based loss of excitation protection scheme for parallel connected synchronous generators
Citation
Rostami, A and Rezaei, N and Jalilian, A and Naderi, B and Negnevitsky, M, Load angle based loss of excitation protection scheme for parallel connected synchronous generators, IEEE Transactions on Industry Applications, 58, (6) pp. 6960 - 6969. ISSN 1939-9367 (2022) [Refereed Article]
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DOI: doi:10.1109/TIA.2022.3193987
Abstract
The main weaknesses of impedance-based loss-of-excitation (LOE) relay are its maloperation during the power system disturbances (PSDs) and its long detection time during LOE events. In this article, to tackle the mentioned problems, a new LOE protection scheme is proposed based on load angle (δ) variation of parallel synchronous generators (SGs) connected to a point of connection (POC). It will be shown that during a PSD, the variation of δ for all parallel SGs is similar such that their δ increases or decreases simultaneously. However, it will be shown that when the LOE occurs for one of the parallel SGs, the δ of faulty SG increases while other SGs will experience reduction in their δ. Hence, when more than one SG is connected to a POC, the LOE event can be discriminated from PSDs. In the proposed scheme, when one SG is connected to the grid, the impedance-based relay is employed to enable the developed method to detect LOE/PSD. Since in a real-world application, the outage rate of the parallel SGs in a power plant during the emergency situations, periodic services, etc., is very low on a yearly basis, the contribution of the impedance relay in the proposed scheme is quite limited to some special circumstances. Comprehensive simulation studies have been conducted in MATLAB/Simulink environment (R2017b); the results prove high efficiency of the proposed scheme.
Item Details
Item Type: | Refereed Article |
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Keywords: | Impedance-based relay, load angle, loss of excitation (LOE), synchronous generators (SGs) protection |
Research Division: | Engineering |
Research Group: | Electrical engineering |
Research Field: | Electrical energy generation (incl. renewables, excl. photovoltaics) |
Objective Division: | Energy |
Objective Group: | Renewable energy |
Objective Field: | Renewable energy not elsewhere classified |
UTAS Author: | Naderi, B (Dr Seyedbehzad Naderi) |
UTAS Author: | Negnevitsky, M (Professor Michael Negnevitsky) |
ID Code: | 155396 |
Year Published: | 2022 |
Deposited By: | Engineering |
Deposited On: | 2023-02-17 |
Last Modified: | 2023-02-28 |
Downloads: | 0 |
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