Research on the Sensor Adaptation Method for Power System based on the Dianhong IOT Operating System
Due to the difference in the actual operation status of power systems, the sensor and its adaptation directly affect the overall frequency response deviation of the system. Therefore, a research on the sensor adaptation method of power systems based on the Internet of Things operating system of Dianhong is proposed. After analyzing the sensor adaptation requirements of power system from the perspectives of power system requirements, sensor type selection, sensor performance requirements, sensor interface and compatibility, cost and maintenance, the data of sensors is converted into a format that can be recognized by the platform by using the Internet of Things operating system of Dianhong, and the sensor data transmission protocol is defined to adjust the sensor adaptation based on demand. In the test results, not only the frequency response deviation of the tested power system is always stable within 0.2 Hz, but also the frequency of response deviation is obviously low.
Authors
- Bin Zhang (ORCID: https://orcid.org/0000-0002-4879-0211)
- Zhengrong Wu (ORCID: https://orcid.org/0000-0002-2071-6212)
- Yang Chen (ORCID: https://orcid.org/0000-0002-9750-3549)
- Hua Li (ORCID: https://orcid.org/0000-0002-9898-4233)
- Furong Yin
Institutions
- China Southern Power Grid (China) (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/isstc63573.2024.10824192
- Citations
- 1
- Primary Topic
- Smart Grid and Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.21