Title: AMR Data vs. Load Allocation
 1AMR Data vs. Load Allocation
Bill Kersting 
 2What is the purpose of an electric utility?
- Make money? 
- Break even? 
- Public Service Charity? 
3ANSI Voltage Standards
- Range A  Normal Steady-State 
- Nominal Utilization Voltage  115 volts 
- Maximum Utilization Voltage  126 volts 
- Minimum Service Voltage  114 volts 
- Minimum Utilization Voltage  110 volts 
- Range B  Emergency Steady-State 
- Nominal Utilization Voltage  115 volts 
- Maximum Utilization Voltage  127 volts 
- Minimum Service Voltage  110 volts 
- Minimum Utilization Voltage  107 volts
4Voltage Drop 
 5- Impedance (Z) and current (I) must be computed as 
 accurately as possible
- Impedance best computed using Carsons Equations 
- Current is a function of load 
- If Z and I are not computed accurately, all bets 
 are off on the calculated system voltages
6Voltage Profile 
 7What is this thing called Load? 
 8Transformer Loading 
 9Customer 1 
 10Customer 2 
 11Customer 3 
 12Customer 4 
 13Transformer Diversified Demand 
 14Summary 
 15AMR Data
- May, June and July 2006 data recorded 
- 314 customers 
- 15 minute kW demand per customer 
- 23 transformers 
- 15 minute diversified kW demand computed 
- Studies will involved using the 15 minute 
 diversified kW demand as the load for each
 transformer
- 90 power factor will be assumed
16Transformer kVA Rating and  of Customers 
 17Peak Day
- July 17, 1006 
- Time of max 15 min kW demand  1745 
18Transformer Loading 7/17/2006 
 19Sum of Transformer Demands 
 207/17/2006 Transformer Data 
 21Load and Utilization Factors 
 22Time of max 15 minute Demands 
 23What to do with all of this Data?
- Model using the IEEE 34 node test feeder 
-  http//ewh.ieee.org/soc/pes/dsacom/testfeeders.ht
 ml
- Base case will model each transformer with its 15 
 minute demand at the time of the total peak
 (1745, July 17, 2006)
- Computed kW and kVAr at the substation will be 
 the same as if metered
24IEEE 34 Node Test Feeder 
 25IEEE 34 Node Test Feeder
- Nominal voltage  24.9 kV (line-to-line) 
- Very long (35 miles) and lightly loaded 
- Two in-line step voltage regulators 
- One in-line transformer reducing voltage for a 
 short 4.16 kV feeder
- Shunt capacitors 
- Spot and distributed loads
26IEEE 34 Node Feeder Modifications
- Disconnect voltage regulators 
- Disconnect shunt capacitors 
- Represent each of the 23 transformers as a spot 
 constant wye connected PQ load
27Windmil 34 Node Test Feeder Model 
 28Base Case kW Demands 90 Power Factor Assumed 
 29Windmil IEEE 34 Node Feeder
-  Base Case Results 
- Sa  382.28  j 130.96 kVA 
- Sb  377.16  j 127.73 kVA 
- Sc  525.79  j 229.27 kVA 
- Stotal  1,285.27  j 487.97 kVA 
- Sloss  86  j 62 kVA 
- Qcharging  -j 154 kVAr 
30Base Case Node Voltages 
 31Allocation Methods to Study
-  The source control point will be set to hold the 
 phase complex powers constant for the following
 allocation method
- Daily kWH 
- Monthly kWH 
- Transformer kVA 
- REA
32July 17, 2006 kWH 
 33July 2006 kWH 
 34Allocated Loads by Method 
 35Percent kW Demand Error 
 36Transformer T-01Percent kW Demand Error 
 37Transformer T-17Percent kW Demand Error 
 38Average kW Demand Percent Error 
 39Node Voltages (120 V base) 
 40Percent Node Voltage Errors 
 41Average Percent Node Voltage Error 
 42Major Conclusion to this Point
- Monthy kWH gives the closes load modeling to the 
 Base Case
- What about lateral control points? 
- Data from base case 
- Line 824-T04 155 kW  j 65 kVAr 
- Line 834  T-15 
- Phase B 78 kW  j 37 kVAr 
- Phase C 83  j 39 kVAr
43Monthly kWH with and without control points 
 44Percent kW Demand Error with and without Ctr. 
Pts.Compared to Base Case 
 45Node Voltage Profile with Ctr. Pts. 
 46Percent Voltage Error with Ctr. Pts.Compared to 
Base Case 
 47Final Conclusions
- AMR 15-minute kW demand readings give a wealth of 
 information about the loading of a distribution
 feeder
- The modeling of loads is critical to the accuracy 
 of the study
- With the four methods of allocation the 
 allocation based upon monthly kWH gives the
 smallest error
- Use of control nodes makes the study even more 
 accurate