A QUANTITATIVE STUDY OF WIND TURBINE RELIABILITY BASED ON

SCADA ALARM DATA

2

Operational intelligence software solutions for distributed energy networks

• Based in Cork in Ireland

• Deployed on over 700 MWs Wind

• Over 400 Wind generation units

• Over 300 mill hours of 10 min. data

• 20 years of historical records

• Over 1.5 mill alarm records

Data set

3

12 months of data Over 80 turbines

61325 alarms 270 alarm classes

TAXONOMIES Organising Data

4

NERC GADS IEC 61400-25 ReliaWind RDS-PP

5

Suitable wind farm

taxonomy

Published list of

components

Published results of

reliability analysis

http://http://cordis.europa.eu/result/rcn/55560_de.html

ReliaWind R80

Mapping Alarms 6

Macro rules Micro rules

7

Wilkinson, Michael, et al. "Measuring wind turbine reliability, results of the reliawind project." EWEA Conference. 2011.

8

unprocessed SCADA alarms

9

Remove known reliability issues: • Pitch Lubrications • Cable Unwind

10

Remove known reliability issues + duplicated alarms

11

Racap

12

• Data set • Suitable taxonomies • Techniques for mapping alarms to taxonomies • Compared results against a baseline

Can SCADA alarms be used for reliability analysis?

Yes, however, results will vary depending on how you treat the data `̀ - mappings between alarms and components - Alarm post-processing Site specific knowledge is very important

13

THANKS! Any questions?

You can find me at

https://ie.linkedin.com/in/fwoconnor

frankoconnor@servusnet.com