Electricity Grid Asset Online Condition Monitoring Electricity Engineers Association Conference By C. McDiarmid & Dr. A.

Transcription

1 Electricity Grid Asset Online Condition Monitoring Electricity Engineers Association Conference 2017 By C. McDiarmid & Dr. A. Miller 22/06/2017

2 Electric Power Engineering Centre 2 Primary Question What if online condition monitoring can be achieved using existing data sources such as information from asset failure data or supervisory control and data acquisition (SCADA)?

3 Electric Power Engineering Centre 3 Topics Covered 1. Condition Monitoring 2. Online Condition Monitoring 3. Future Research Trends

4 Electric Power Engineering Centre 4 Condition Monitoring Dissolved Gas Analysis (DGA) Partial Discharge (PD) Frequency Resonse Analysis (FRA)

5 Condition Monitoring Majority done on-site Transformer usually offline Performed by specialists Can determine various problems Improves reliability Time consuming Electric Power Engineering Centre 5

6 Electric Power Engineering Centre 6 Condition Monitoring Oil ageing Winding deformations

7 Electric Power Engineering Centre 7 Condition Monitoring Table 1: A typical transformer condition monitoring routine Assessment Time between checks Visual Inspection 2 6 months PD inspection 2 5 years DGA of oil sample 2 5 years Tap changer condition assessment 3 4 years

8 Electric Power Engineering Centre 8 Online Condition Monitoring A system which can automatically monitor the condition of an asset while it is in use, providing the asset owner information on the degradation, current condition, predictions for lifetime and a hazard function.

9 Electric Power Engineering Centre 9 Online Condition Monitoring Table 2: A summary of common condition monitoring techniques Current practice Current use Online feasibility Scope for further research Equipment needed for online DGA Offline Majority Medium Some Yes PD Offline Majority (4-5 year cycle) Low Little Yes FRA Offline Rare Low No Yes ΔV-I locus Online Laboratory only Medium Some Yes Statistical Online Few High Some No* *Most statistical analysis methods utilize data obtained through other condition monitoring methods.

10 Electric Power Engineering Centre 10 Online Condition Monitoring Change in shape of the delta V-I locus under short-circuit fault conditions A. S. Masoum, N. Hashemnia, A. Abu-Siada, M. A. S. Masoum, and S. M. Islam, "Online transformer internal fault detection based on instantaneous voltage and current measurements considering impact of harmonics," IEEE Transactions on Power Delivery, 2014.

11 Electric Power Engineering Centre 11 Online Condition Monitoring Failure probability model example D. Zhou, C. Li, and Z. Wang, "Power transformer lifetime modeling, 2012.

12 Electric Power Engineering Centre 12 Online Condition Monitoring Asset Health Index example S. Yi, C. Watts, A. Cooper, and M. Wilks, "A regulatory approach to the assessment of asset replacement in electricity networks," IET Conference Proceedings, 2011.

13 Electric Power Engineering Centre 13 Future Research Trends Combined online Transformer Monitoring UAV Platform Development for Automated Asset Condition Diagnosis HVDC Cable Condition Monitoring Project Low Cost LV Substation Monitoring

14 Electric Power Engineering Centre 14 Summary Discrete Condition Monitoring Current practice requires asset to be offline Online Condition Monitoring Solves the problem of offline assesment, with added complexity with data and equipment Research Trends Creative and alternative solutions being investigated and put forward

15 Electric Power Engineering Centre 15 Conclusion Majority of industry uses descrete condition monitoring Online condition monitoring has not been done purely using the use of existing data such as SCADA Statistical modelling methods should be used in tandem Many new innovative online methods in development

16 PROFESSIONAL AFFILIATES Thank you to our industry members of the Power Engineering Excellence Trust