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Adaptive differential current relay based on form/ripple factors for busbar current signals
1Department of Electrical Power and Machines Engineering (PME), College of Engineering Science & Technology, Misr University for Science and Technology (MUST), 6Th of October City, Giza, Egypt. ragab.mahmoud@must.edu.eg.
This adaptive protection algorithm enhances power system reliability by accurately distinguishing internal from external faults, even with CT saturation and DC components. It ensures rapid and dependable fault clearing while preventing maloperation during disturbances.
Area of Science:
- Electrical Engineering
- Power Systems Protection
Background:
- Traditional differential relaying schemes face challenges with Current Transformer (CT) saturation and DC components during fault currents.
- Accurate fault detection and discrimination are crucial for power system stability and reliability.
Purpose of the Study:
- To develop an adaptive protection algorithm for differential relaying schemes.
- To improve fault discrimination by accounting for CT saturation and DC components.
- To ensure reliable operation during internal faults and prevent maloperation during external faults.
Main Methods:
- Estimating tripping characteristic slope using form and ripple factors of current signals.
- Implementing the algorithm in MATLAB, integrating with ATP simulations for validation.
- Simulating diverse fault scenarios, including CT saturation and DC offset.
Main Results:
- The algorithm accurately differentiates internal from external faults under various conditions.
- Achieved a rapid response time of approximately 10.0 ms for internal faults.
- Demonstrated high accuracy (>99.40%) in dependability, security, and reliability.
Conclusions:
- The proposed adaptive algorithm offers a robust solution for digital protection relays.
- It is highly effective, stable, accurate, and reliable for Smart Grids and Substation Automation Systems.
- The technique successfully addresses CT saturation and current distortion issues in fault analysis.
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