Power systems fault diagnosis based on grid computing
Abstract
A grid computing model is proposed in this paper and it will used in the power grid fault diagnosis. It includes the power grid computing system's structure, software service and hardware integration method. Though technology of grid computing is quite successful, its application to power system fault diagnosis is a deficiency. According to the five architecture layers of gird, a new power system fault diagnosis model is designed and it take the topology as the example to explain how to use its high performance computing method (or parallel computing method) and distributed environment to design a new intelligent algorithm with information fusion and multi-data resources in grid computing environment.
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References 7 · Cited by 2
- Authors
- Wang, L., Chen, Q., & Gao, Z.
- Affiliations
- Shandong University (CN)
- ORCID
- Venue
- 2011 International Conference on Advanced Power System Automation and Protection
- Publisher
- IEEE
- Published
- 2011-10
- Volume
- 29
- Pages
- 1557-1561
- OpenAlex
- W2536953147
- Cited by
- 2
- References
- 7
- Citations by year
- 2016: 1 · 2013: 1
- FWCI
- 0.54
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Advanced Power System Automation and Protection (APAP) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Power Systems Fault Detection
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
- Keywords
- power system fault diagnosis, grid computing, parallel computing, distributed computing, data fusion, intelligent algorithms, hardware integration
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