Transcript
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Integrating AMR-AMI Data into WindMil

James S Cross, PEPlanning Engineer

Homer Electric AssociationKenai, Alaska

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Improving Your WindMil Model w/ AMR/AMI• Historically, planners and system operators have had very little

data regarding the individual loads on a distribution system.• Most distribution planning models have used (still use?) kWh

billing data (energy) from a CIS system to determine the “load snapshot” (power) for the load-flow analysis.

• This methodology is known as load allocation. Load allocation is as much of an “art” as is system protection. There are no hard & fast rules …. every system and every case is different.

• Given the importance of the model loading to the load-flow results, an accurate portrayal of the system loads is critical in order to get good results.

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EA Model Improvements

• The use of GIS systems at utilities has led to significant improvements in model data, and large “detailed” models have become prevalent.

• Load modeling has not seen the significant data improvements that the system (impedance) models have seen.

• End-of-line load data is still challenging, especially “real time” data.

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AMR/AMI Enters the Utility World

• Utilities now have the ability to obtain more data from the end-of-line loads with the implementation of AMR systems.

• Two-way AMR/AMI systems allow for even more information flow, as some meters can be built or programmed to detect more than just kWh usage.

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What can AMR/AMI do for me?In addition to reading kWh:• Many AMR meters capture “blinks” or momentary outage counts• Voltage data• Ability to create a true “monthly” kWh reading• Real demand (kW) data• Equipment Information

This information can be used to make your WindMil model better.

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What else can AMR/AMI do for me?• It can make a large model even larger• You are counting on another enterprise application to get data to

you correctly.• If the meter data moves through multiple enterprise applications,

each interface is a potential source of new data errors.• It can force you to use mixed methods to populate your model:

– AMR to populate 2S meter loads– Billing / GIS to populate other loads

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The question you MUST ask yourself …a

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AMI at Homer Electric• Homer Electric began implementing a Cannon Technologies AMI

system in 2005.• We started w/ a two substation / 300 meter pilot project.• Since then we’ve deployed ~ 5,000 meters per year. Nine

distribution substations will read approximately 27,000 1Ø meters on 29 feeders.

• All 2s meters will be changed out by year’s end.• We will revisit 3Ø metering to determine scope / costs.

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AMR – WindMil Interface

• WindMil can read data directly from several AMR systems by using a MultiSpeak interface.

• Before using the interface, you need to contact your AMR/AMI vendor to get MultiSpeak configuration files for your enterprise software.

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AMR – WindMil Interface

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AMR – WindMil Interface

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AMR – WindMil Interface

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AMR – WindMil Interface

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Distribution System Phasing w/ AMI• Most power-line carrier (PLC) AMR systems interface some sort

of communications on the primary line buses within the substations.

• There is some sort of coupling onto each phase of each feeder.• Two-way AMR allows us to send a signal down each phase to all

meters connected to that phase, and get a response back from meters that heard the signal.

• If we can determine which meters are on what phase, we can electrically phase our distribution feeders.

• If we truly know our system phasing in our WindMil model, we can then more accurately run unbalanced analysis to model what is going on with our distribution system.

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Voltage Drop – Balanced Mode

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Voltage Drop – Unbalanced Mode

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Distribution System Phasing w/ AMR• WindMil voltage-drop analyses can be run in unbalanced

mode. This mode will more accurately reflect phase unbalances on your distribution system.

• This affects results of:– Voltage Drop Analysis– Load Balance Activity– Set Regulation Activity– Loss Study

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Past MUC Presentations

• AMR & SCADA Data in WindMil, by Jeff Wilhite (2007)

• AMR Data vs. Load Allocation, by Bill Kersting (2007)


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