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Working with AMI Data Eric Jung SouthEastern Illinois Electric Cooperative.

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Presentation on theme: "Working with AMI Data Eric Jung SouthEastern Illinois Electric Cooperative."— Presentation transcript:

1 Working with AMI Data Eric Jung SouthEastern Illinois Electric Cooperative

2 Load Modeling  Hourly data advantages  Accuracy! (less than 5% variance)  Fast load allocation  Hourly data disadvantages  File verification & estimation difficult and time consuming  Must mix with traditional load allocation if AMI not 100% deployed

3 File Setup  Interval files  Desired intervalDi  Desired interval -1Di-1  Desired interval +1Di+1  Desired interval, different day (similar load characteristics)  Desired interval, different day 2  Repeat until all meters have a reading

4 File Setup Continued  Outage file (fast ping) for desired day  CIS data  Multiplier  Billing rate (optional)  Reactive load  Matching field to outage table  Location number link to Premise ID

5 Validation  Pulse count to KW multiplier: (≠ Kh)  Verify meter type, multiplier and module match Multiplier = (Kw * 1000) / Pulse count

6 Estimation  If valid read from desired interval (Di) use it directly  If not use Di-1 or Di+1  If all three invalid use same interval from different day  Repeat until valid reads for all meters

7 Reading Modification  Sum total load by interval  Apply adjustment factor by percentage difference between intervals.  Ie. Di-1 total load is 5% < Di. Divide all Di- 1 reads by 95%  Suggest applying adjustment factors by billing rate.

8 Additional Load Info  Take phasing from Outage file on single phase meters  Three phase loads must come from another source:  CIS  Mapping  Reactive load must come from CIS

9 Outage Data Location # Meter # Module # Phase Substation Master Table Location # Meter # Module # Phase Substation Multiplier Load Interval 1 Load Interval 2 KVAR Interval Data 1 Module # Meter # Meter Type Pulse Count Kw (converted pulse) Table links - Blue Data source - Green CIS Data Location # PF% Multiplier

10 Load Application for 100% AMI  One load group  Set sources to swing  Set CF% to 100%  PF % only applies to those without KVAR  Apply load and save errors!

11 Load Application for < 100% AMI  All AMI data in one load group  Settings for this load group will be as for 100% AMI  Remainder will be as traditional  Run load allocation and save errors!

12 Phasing Correction  Match load file phasing with error file from load application  Use “re-phase elements in file” updateable utility to phase according to load file  Re-run load application and view errors  Errors will be connectivity errors

13 Accuracy  Absolute: 3.3% (average deviation)  Individual phase variation >10A indicates phasing or loading errors.  Normal < 5 A error per phase at feeder level

14 Two Feeder Examples  Johnston City NW (average feeder)  Shell East (very accurate) ModeledActual% Diff KW3098.23007.73.01% KVAR608.9635.74.22% A Amps148.5139.86.19% B Amps133.9134.60.49% C Amps138.7133.53.86% ModeledActual% Diff KW3959.03964.80.15% KVAR A Amps209.1211.10.93% B Amps151.2149.11.44% C Amps165.4160.03.34%

15 Lessons learned  Check large industrial loads  If load down during peak, consider adjusting to realistic level for analysis  Trust the Twacs phasing, but check for phase rolls in software  Scrutinize the pulse count multipliers!  There will be errors!

16 Blink File Import  Setup blink file using AMI momentary outage data  Suggest weekly or monthly intervals  Use “apply reliability indexes” utility  Element name,saidi,saifi,caidi…  Element name,blink week 1,blink week 2…

17 Blink Analysis  Set “color by custom”  Graphical indication of blinking line sections

18 Blink Analysis Example

19 Single Outage File Import  Similar to blink file import  Leave only location and on/off status in file  Convert outage status into 1 (on) or 0 (off)  Save as CSV and load as “reliability.txt”  Provides a snapshot of system status

20 Multiple Outage File Import  Link several outage files together based on location  Create one master database with several on/off entries (maximum of 6)  i.e. Element name,2pm result, 4pm result…  Provides progress view of system restoration

21 Outage Analysis  Single outage file:  Color by custom based on phase  Highlights line section outages  Multiple outage file  Color by custom based on status change

22 Conclusions  AMI data can bring load model accuracy to the next level  Apply reliability indexes utility is an extremely flexible tool  AMI data is not likely to save time on load allocation

23 Contact Info  Eric Jung  Engineering and Purchasing Manager  SouthEastern Illinois Electric Cooperative 

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