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Working with AMI Data. Eric Jung SouthEastern Illinois Electric Cooperative. Load Modeling. Hourly data advantages Accuracy! (less than 5% variance) Fast load allocation Hourly data disadvantages File verification & estimation difficult and time consuming - PowerPoint PPT Presentation
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Working with AMI DataEric JungSouthEastern Illinois Electric Cooperative
Load ModelingHourly data advantages
Accuracy! (less than 5% variance)Fast load allocation
Hourly data disadvantagesFile verification & estimation difficult and time consuming
Must mix with traditional load allocation if AMI not 100% deployed
File SetupInterval files
Desired interval DiDesired interval -1 Di-1Desired interval +1 Di+1Desired interval, different day (similar load characteristics)
Desired interval, different day 2Repeat until all meters have a reading
File Setup ContinuedOutage file (fast ping) for desired day
CIS dataMultiplierBilling rate (optional)Reactive loadMatching field to outage tableLocation number link to Premise ID
ValidationPulse count to KW multiplier: (≠ Kh)
Verify meter type, multiplier and module match
Multiplier = (Kw * 1000)/Pulse count
EstimationIf 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
Reading ModificationSum 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.
Additional Load InfoTake phasing from Outage file on single phase meters
Three phase loads must come from another source:CISMapping
Reactive load must come from CIS
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 - BlueData source - Green
CIS Data
Location #
PF%
Multiplier
Load Application for 100% AMIOne load group
Set sources to swing
Set CF% to 100%
PF % only applies to those without KVAR
Apply load and save errors!
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!
Phasing CorrectionMatch 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 errorsErrors will be connectivity errors
AccuracyAbsolute: 3.3% (average deviation)
Individual phase variation >10A indicates phasing or loading errors.
Normal < 5 A error per phase at feeder level
Two Feeder ExamplesJohnston City NW (average feeder)
Shell East (very accurate)
Modeled Actual % Diff KW 3098.2 3007.7 3.01% KVAR 608.9 635.7 4.22% A Amps 148.5 139.8 6.19% B Amps 133.9 134.6 0.49% C Amps 138.7 133.5 3.86%
Modeled Actual % Diff KW 3959.0 3964.8 0.15% KVAR A Amps 209.1 211.1 0.93% B Amps 151.2 149.1 1.44% C Amps 165.4 160.0 3.34%
Lessons learnedCheck 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!
Blink File ImportSetup blink file using AMI momentary outage dataSuggest weekly or monthly intervals
Use “apply reliability indexes” utility Element name,saidi,saifi,caidi…Element name,blink week 1,blink week 2…
Blink Analysis
Set “color by custom”
Graphical indication of blinking line sections
Blink Analysis Example
Single Outage File ImportSimilar 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
Multiple Outage File ImportLink 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
Outage AnalysisSingle outage file:
Color by custom based on phase
Highlights line section outages
Multiple outage fileColor by custom based on status change
ConclusionsAMI 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
Contact InfoEric Jung
Engineering and Purchasing ManagerSouthEastern Illinois Electric [email protected]