Enhancing Sustainability in Power Systems: A High-Capacity Testing System Based on a Power System
In the context of global sustainability goals and the integration of renewable energy sources, the efficient and reliable performance of medium- and high-voltage power equipment is critical. This paper presents a high-capacity testing system based on power supply, which significantly enhances the sustainability of power systems by addressing the challenges of low testing efficiency, poor reproducibility, and safety hazards in traditional methods. By proposing a standardized test circuit configuration and an automated monitoring and control system, this study aims to improve the efficiency, safety, and consistency of testing, thereby supporting the reliable operation and integration of renewable energy sources into power grids. The system achieves complete automation in test parameter selection, circuit connection, and data acquisition, reducing human intervention and ensuring the accuracy of test data. Through simulations and physical tests, the feasibility and accuracy of the standardized test circuit design method have been verified. These improvements contribute to sustainable development by reducing resource consumption and environmental impact, and enhancing the reliability and stability of power supply. This research provides a technical foundation for the sustainable operation of power systems, supporting global efforts to achieve carbon neutrality and energy transitions.
Authors
- Yuan Luo (ORCID: https://orcid.org/0009-0007-8102-6710)
- Huixin Chen
- Guoping Chen (ORCID: https://orcid.org/0000-0002-8370-5545)
- Yong Li (ORCID: https://orcid.org/0000-0002-0318-973X)
- Jian Wang (ORCID: https://orcid.org/0000-0001-8140-5074)
Institutions
- Gansu Great Wall Electrical and Electronics Engineering Research Institute (CN)
Publication Details
- Journal
- Sustainability
- Published
- 2025-04-18
- DOI
- https://doi.org/10.3390/su17083679
- Citations
- 1
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.73