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A Low Cost Real-Time Transient Recorder for High Voltage Systems
Selma Grebović1, Nermin Oprašić1, Ajdin Fejzić1
1Faculty of Electrical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina.
This study introduces an affordable system for recording power system transients, crucial for stability and power quality. The developed technology enables widespread deployment for comprehensive transient analysis.
Area of Science:
- Electrical Engineering
- Power Systems Analysis
- Renewable Energy Integration
Background:
- Renewable energy sources (wind, photovoltaic) increase power system transients due to their intermittent nature.
- Existing transient recorders are expensive and limited in number, hindering comprehensive analysis.
- Accurate transient measurement is vital for power system stability, quality, fault analysis, and protection design.
Purpose of the Study:
- To develop an inexpensive and efficient transient measurement and acquisition system for power grids.
- To enable widespread deployment of transient recorders across various power system components.
- To facilitate the creation of an open-access transient record database for AI-based analysis.
Main Methods:
- Design of a modular, autonomous, low-cost transient recording system.
- Utilized standardized data acquisition and mobile network for data transmission.
- Developed object-specific sensor systems, including a custom Rogowski coil.
- System tested under laboratory conditions with cost and power consumption analysis.
Main Results:
- The proposed system effectively records transient phenomena in power systems.
- Modular design allows customization for diverse applications (power lines, transformers, etc.).
- Cost analysis confirms the system's affordability compared to existing solutions.
- Performance meets application requirements at a low cost.
Conclusions:
- The developed system offers a cost-effective solution for widespread transient monitoring in power systems.
- Enables enhanced stability and power quality analysis with increased data availability.
- Supports the development of advanced AI-driven techniques for power system management.
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