Predictive Grid Quarterly Report. Volume 1

Smart Grid Solutions

Predictive Grid Quarterly Report Volume I

Tollgrade and DTE Energy Clinton Global Initiative Commitment “Building a Predictive Grid in Detroit”

© 2015 Tollgrade Communications, Inc


CGI Commitment Overview

Tollgrade Smart Grid Solutions

Clinton Global Initiative “Building a Predictive Grid in the Motor City”

Key Objectives: Predict & prevent outages Eliminate 500,000 outage minutes Save $10,000 per outage avoided Integrate sensors with Tropos network Create “green jobs” Lower DTE Energy’s carbon footprint


Data Reporting Goals Predictive Grid at DTE Energy Classify events that could be prevented in the future Proactively respond to events that can be corrected

Create an industry benchmark to measure events Share findings to improve outage detection across US Look for trends and lessons learned that can help prevent

outages nationwide


Tollgrade LightHouse Platform

© 2014 Tollgrade Communications, Inc. All rights reserved. Confidential and Proprietary Information Slide 5

Software-Defined Smart Grid Sensors Integrated Communication & No Battery

SMS with Predictive Grid® Analytics Software

Voltage and current Current and E-Field Current only


Flexible Communications


Raw Data Capture

Classification

Planning, Reporting, Trending & Alarms

Predictive Grid® Analytics

4 Layers of Analytical Processing for Improved Accuracy & Intelligence

1

2

3

4

Transforming Data into Intelligence

Slide 7


Predictive Grid in Action at DTE Energy

Wire Contact

Failing Underground Cable

Failing Pole Top Transformer


Example: Predict Voltage Regulator Failure

Line Disturbances detected; troubleman found failing voltage regulator 2,000 customers would have been impacted with an outage Prevented 3 hour outage in December Sensors were on line less than 6 weeks


Example: Help Restore Power After Storm

We detected the outage that impacted 6,000 people Notified the crew in less than 2 minutes Reduced outage time by 13 hours; saved the utility $2M Roads were impassable, sensors directed crews to the exact

switching location to restore power faster (and more safely)


Predictive Grid Quarterly Report, Q1 2015


Preventing Outages

Learn more – download the report today

Outages cost U.S. businesses

$15,709 every 30 minutes*

$15B - $20B a year*

Momentaries Cost U.S. Businesses

*source: http://www.agcs.allianz.com/insights/expert-risk-articles/energy-risks/

http://www.agcs.allianz.com/insights/expert-risk-articles/energy-risks/


6 Months of Data Monitoring 6 Utilities


Last 6 Months of Monitoring

Line Disturbances are the precursor to power outages

LightHouse only solution to detect Line Disturbances

First report to demonstrate the connection


Lessons Learned

Line Disturbances are the precursor to power outages

Putting sensors by switches will isolate problems so DTE Energy can restore power more quickly

Sensors using ABB/Tropos network leverage exiting AMI investment by DTE Energy


Thank you Learn more by visiting www.tollgrade.com

http://www.tollgrade.com/

Predictive Grid Quarterly Report. Volume 1

Technology

Transcript of Predictive Grid Quarterly Report. Volume 1