Blueprint for Grid Modernization

BLUEPRINT FOR GRIDMODERNIZATION

Welcome! NRGi Key Lessons Learned Poul Berthelsen, NRGi Blueprint for Grid Modernization Varun Nagaraj, Echelon Q&A

SpeakersPoul Berthelsen has been working in the Utility industry for 7 years --initially and has always been active in the distribution side of thebusiness, having technical responsibility for the remote reading system.Since 2007 he became responsible for the technical content of thetender procedure and evaluation of bids within NRGi NRGi.Varun Nagaraj brings more than 20 years of high tech product high-techplanning and strategy success and experience to Echelon. Varun wasthe CEO of NetContinuum (acquired by Barracuda Networks), servedas EVP of Marketing and Customer Operations for Ellacoya (acquiredby Arbor Networks), and was VP of Product Management andMarketing at Extreme Networks.

Poul Berthelsen, NRGiKEY LESSONS LEARNED

Who is NRGi

Danish Customer Owned Grid Company 210,000 customers 185 000 meters changed 185,000 3,700 Transformers 10kV / 0.4kV 0 4kV 2,000 solar installations Smart metering implementation and installation finished 2012

Low Voltage Network 10/0.4kV Y Average – 60 Customers/Transformer (from 1 ‐ >500)

NRGi Solution• Supplier Project management Supplier – Project management• meters • software f

More than Billing

More than Billing Billing

More than Billing Billing Heat Water

More than Billing Billing Heat Analysis Water

More than Billing Alarms Billing Heat Analysis Water

Demand More from Metering! Max/Min voltage Contract max  15 min resolution current  Billing 3 month Monitor power  FWD + REW factor Alarms Billing Heat Analysis  Flow Current 5 min Water resolution  Diff. Temperature Voltage  MWh THD  M3

Integration Overview

Integration Overview Goals & Objectives: • Never visit the meter – investigate more remotely Never visit the meter – investigate more remotely • Reduce costs of maintaining the grid • Troubleshoot grid health by analyzing meter data • Do not impact billing b ll

Never Visit the Meter – Solve More Remotely!Collecting 15 min values and alarms from meters g Problems are investigated without disturbing load profile data

Example: Under-Voltage Problems Detected Voltage measured 206.35V

Example: Under-Voltage Problems Detected Voltage measured 206.35V Select the feeder

How We Configured Meters to Troubleshoot

Results Combined with Communication Data L1 L2 L3 N Voltage g L1 L1 L2 L2 L3 L3 "L1" Voltage L2 L3 L1 L3 L1 L2 "L2" Voltage L3 L2 L3 L1 L2 L1 "L3"

Current Measurement 120 100 80 60 40 20 L1 L2 0 L3 One transformer feeder 35 meter installations

Conclusion Private garage Old welding equipment generates peak current Voltage measured 206.35V

Key Lessons Learned Use proven technology  Best meter on the market  Proven software Communication system is important  Success rate >99.9% daily collection (data collected 4 times a day) Firmware updates should be possible  Allows you to add more functionality  Focus on integration Sh ld not need t visit meters after installation Should t d to i it t ft i t ll ti Implementation and integration is complicated

Varun Nagaraj, EchelonBLUEPRINT FOR GRIDMODERNIZATION

Low Voltage Grid Stress Points

Low Voltage Grid Stress Points Three main categories of stress: 1. Distribution transformer failures 2. 2 Outages & power quality issues impact service to customers Outages & power quality issues impact service to customers 3. Losses (technical and non‐technical)

Blueprint for Grid Modernization 3. Demand Management 2. Service Assurance 1. Smart Metering

Smart MeteringDemand TransformerManagement Start Protection Anywhere ySmart Service Quality Street LightingStreet Lighting Assurance Revenue Assurance

Smart MeteringDemand TransformerResponse Start Protection Anywhere ySmart Service Quality Street LightingStreet Lighting Assurance Revenue R Assurance

DISTRIBUTION TRANSFORMERFAILURES

Fewer than 1% of World’sTransformers Are Monitored Today

The Ageing Transformer Problem “The average age of transformers is rising worldwide. There is likely to be a significant increase in the number of failures by 2020”The Hartford Steam Boiler Inspection and Insurance Co., 2011

What Could Be Detected? Substation Transformer Imbalance; Outage g Overload Door Open? Overheating

What Could Be Detected? Substation Benefits of monitoring: Transformer Outage g Improves reliability • I li bilit Imbalance; Overload • Avoids transformer failures and blackouts • Extends useful life of transformers • Reduces maintenance costs Door Open? Overheating • Protects public safety

Echelon Solution COS App Substation Utility Datacenter Control Nodes

Monitoring at the Transformer Control Nodes Substation Monitors key failure & safety parameters at distribution y yp transformers: • Load by Phase • Oil Level Smart Meters • Oil Temperature Oil Temperature • Moisture • Winding Temperature • Door Status • Ambient Temperature • Fan Control Locally trend, analyze, and communicate to data center Drop loads: Control relay, de‐activate load points

How it Works Control Modbus Node RS-232 RS 232 Sensor I/O ModuleCT CT CT T Air PT100 Temp sensors T Top Oil Humidity Oil Level T Bottom Oil Gas Sensors (H2, CO2, …)

Transformer Protection App COS App Substation Utility Datacenter Smart Meters

OUTAGES & POWER QUALITY ISSUES

OutagesP Power i t interruptions cost the EU €150B a year ti t th U.S. outages cost as much as $180B a yearPower QualityL Losses caused b poor power quality cost the EU d by li h €10 billion annually 16% of generation in EU is from renewables

What’s Happening? Over Voltage Increasing Substation Frequency Under Voltage Under Voltage Frequency Drift Power Factor Degradation Outages

What’s Happening? Over Voltage Increasing Substation Frequency Under Voltage Under Voltage Frequency Benefits of monitoring: Drift • Know about outages before customers call Know about outages before customers call • Meet power quality service obligation to customers • Closely monitor voltage as PVs & renewables are added • Quickly narrow down location of problems to expedite kl d l f bl d resolution Power Factor Degradation Outages

Echelon Solution COS App Substation Utility Datacenter Control Nodes Smart Meters

Smart Meters Substation • M it Monitor outages and PQ events at the meter t d PQ t t th Control t • Voltage sags and swells Nodes Smart • Phase loss and outage duration Meters • Out of spec frequency Out of spec frequency • Out of spec THD • Monitor meter health at strategic locations

Control Nodes Control Nodes Substation • Backup battery allows ECNs to communicate during outage • Local intelligence processes PQ events Smart Meters • Aggregate & filter reports from all attached meters gg g p • Summarize disparate events into intelligent reports • Transmit only the data utilities need to the head end • Avoid “event storms” at head‐end Avoid event storms at head end • Map outages & PQ events to LV grid for faster troubleshooting

Outage Detection - How it Works “Last Gasp” Alarm enabled by Backup Battery Pinpoint location of fault on three levels Transformer Station Switches Switches MV/LV Transformer Control Node 1 3 2Strategic Metersrepresenting each segment Logical Feeder “End of Line” Meters Segments for each feeder

Precise Outage Management and Restortion Reporting Accurately report outage times to regulators:  Notifies utility when each meter is without power & when power is restored  Meters keep exact time of interruption & recovery – no over reportage of outage minutes to regulators  P i Precise outage information is provided to crews in real‐time t i f ti i id d t i l ti  Information on cold load pick‐ups provided to bring up restored feeder lines

Power Quality Monitoring - How it Works Control Node

Power Quality Monitoring - How it Works Control Node 00:01 Voltage sag: Meter #1 00:01 Voltage sag: Meter #2 15 Voltage sag from 5 meters in 2 minutes 00:01 Voltage sag: Meter #3 00:01 Voltage sag: Meter #4 00:01 Voltage sag: Meter #5 00:02 Voltage sag: Meter #1 Control 00:02 Voltage sag: Meter #2 Node 00:02 Voltage sag: Meter #3 00:02 Voltage sag: Meter #4 00:02 Voltage sag: Meter #5 00:03 Voltage sag: Meter #1 00:03 Voltage sag: Meter #2 00:03 Voltage sag: Meter #3 00:03 Voltage sag: Meter #4 00:03 Voltage sag: Meter #5 00 03 V l M #5

Service Quality Assurance App COS App Substation Utility Datacenter Smart Meters • Combines detailed power quality and outage summaries into one web interface one web interface • Cuts down investigation time into issues that impact consumer’s quality of service

LOSSES

Technical: 6-8% of energy is lost in T&D in advanced countries 10% gain i efficiency could h i in ffi i ld have saved th U S d the U.S. $5.7B in 2006Non-Technical: 30% theft is common in emerging economies 1-2% loss is common in US = $5M - $20M annually

Types of Losses Substation Non‐technical loss oss Technical loss

Types of Losses Substation Benefits of monitoring: • Proactively measure losses on low voltage grid Non‐technical • Detect unauthorized use fraud and protect revenue Detect unauthorized use, fraud, and protect revenue loss oss Technical loss • Identify sources of above‐average losses to focus grid improvements for better ROI

Echelon Solution COS App Substation Utility Datacenter Control Nodes Smart Meters

Smart Meters Substation • Tamper detection alarms notifies utilities of Tamper detection alarms notifies utilities of Control unauthorized access to meter Nodes Smart • Rogowski coil sensors for accuracy even in the Meters presence of strong magnetic fields

Control Nodes Control Nodes Substation • Local sensors monitor consumption at the transformer Local sensors monitor consumption at the transformer • Near real‐time comparison of energy Smart • Transformer vs. total metered energy from all attached meters yield Meters p possible sources of non‐technical losses • Account for non‐metered sources such as street lights • Analysis at the edge saves WAN costs • Customizable algorithms compare usage patterns against Customizable algorithms compare usage patterns against neighbors, similar homes

Revenue Assurance App COS App Substation Utility Datacenter D t t Smart Meters UI tracking Losses across vast LV distribution networks: • Aggregate & display summary results from “edge intelligence” • Hi hli ht i ifi t di Highlights significant discrepancies or larger then expected i l th t d losses down to specific transformers • Archive historical data for pattern recognition

Today’s Announcement Echelon Launched COS App Beta  Transformer Protection  Service Quality Assurance  Revenue Assurance Apps Run on Echelon Energy Control Networking Platform  Includes head-end components (UI and App) ( )  Local processing distributes real-time intelligence to the edge  Improves grid reliability  Reduces data deluge at operations center For more information email COSapps@echelon.com

Blueprint for Grid Modernization

by Echelon Corporation on Sep 26, 2012

Accessibility

Categories

Upload Details

Usage Rights

Statistics