Online Two-Section PV Array Fault Diagnosis with Optimized Voltage Sensor Locations
- Submitting institution
-
University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 65600122
- Type
- D - Journal article
- DOI
-
10.1109/TIE.2015.2448066
- Title of journal
- IEEE Transactions on Industrial Electronics
- Article number
- -
- First page
- 7237
- Volume
- 62
- Issue
- 11
- ISSN
- 0278-0046
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
B - Intelligent Systems and Nano-Science
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A collaboration between the UK, USA (MIT) and China (Zhejiang University) this proposes a low-cost fault diagnosis solution for photovoltaic (PV) plants to achieve reliable operation and extend service time. This work combines reduced sensing with a novel fault diagnosis theory. The proposed technology secured funding from Royal Academy of Engineering (£75k ProjectID:IAPP1\100015) and an industry project (£33k ProjectID:EEECS/CD/1). The company Qingdao Guanxin Technology (Contact: Project Lead, QDGXTech) has adopted this technology in China.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -