Authors
Lei Hua
Affiliations
- Department of Computer Science North China Electric Power University (Baoding);
- Hebei Key Laboratory of Knowledge Computing for Energy & Power;
- Engineering Research Center for Intelligent Computing of Complex Energy Systems, Ministry of Education corresponding author(s): Yumei Ma (yumeim@ncepu.edu.cn)
Abstract: Fault detection in power grids is a core function of smart grid systems. The increasing frequency of extreme environmental events and the continuous evolution of power consumption patterns pose long-term and complex challenges to grid stability, consequently affecting industrial operations and daily life. Developing efficient and reliable fault detection methods and promoting their engineering implementation are of great significance for enhancing the resilience of power systems and ensuring the secure and stable operation of the grid. To improve the accuracy and response speed of fault detection, this paper investigates a travelling-wave-based fault detection method built on a heterogeneous computing platform. By integrating high-precision time synchronisation and high-speed data acquisition techniques, a system architecture supporting comprehensive multi-channel travelling wave data acquisition is constructed. The proposed system is designed and implemented on the Zynq platform developed by Xilinx, leveraging the heterogeneous computational resources of the central processing unit (CPU) and field-programmable gate array (FPGA). A hardware–software co-design is carried out on the Zynq-7000 series chip: the programmable logic (PL) section performs wide-bandwidth, synchronous sampling of multiple channels of electrical signals, while the processing system (PS) section is responsible for real-time fault signal detection and reporting. GPS-based timing is employed to achieve high-precision timestamping of waveform data. Experimental results demonstrate that the system offers excellent timing synchronisation and sampling accuracy, effectively meeting the requirements for high-speed, high-resolution, multi-channel data acquisition in travelling-wave fault detection. The feasibility and practical value of the proposed system have been validated in relevant application scenarios.
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