Welcome

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Session

Keeping the Lights on with Grid Monitoring

Tim FiguraSr Application Engineer

@aclara.com

The Aclara Grid Monitoring platform consists of medium voltage sensors and predictive software that provides real-time visibility

on feeders & laterals down to 3 amps to better detect faults, monitor power quality & balance loads across all 3 phases of your

distribution network.

In this session we will review how sensors are used to improve CAIDI and SAIFI to improve the reliability of the distribution

system.

overview

What our customers are saying

• “These sensors will provide us valuable information to help

provide reliable service to our customers, improve

reliability, and provide visibility into these critical systems

as part of our grid modernization effort.”

•

Eric Clement,

Supervising Engineer, Minnesota Power

“Aclara Power Sensors .. improve reliability, reduce the duration of supply interruptions by directing linesmen to the most likely fault locations and monitor power flow, current and voltage, providing improved network visibility.”

Peter Lang,

Sr. Technology Transfer Engineer, UK Power Networks

keeping the lights on with grid monitoring

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Solution Overview

Hardware/Software Components

System Architecture

01

System Overview

Event Data

Frequent Disturbance Events

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Fault Detection

Consumers EnergyCase Study

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Case Study

hardware-software components

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MV SENSOR POWER SENSOR SENSOR MANAGEMENT SYSTEM

Current and E-field Current, Voltage and Power Analytics Software

A MULTI-APPLICATION VALUE PROPOSITION – IN A SINGLE MONITORING PLATFORM

Installationsimple

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• Patented design – single clamp, dual stage

• MV Sensors – 15 min per set

• Power Sensors – 30 min per set

• Live, hot-stick or glove

• Simplicity = Safety

• Hang & Go!

grid monitoring overview

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system architecture

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Fault Detection

Building a predictive grid

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• First system to capture and categorize “Line Disturbance” faults

• Line Disturbance faults are valuable information that often recognize “Early Warning” events

• Traditional monitoring and SCADA systems do not detect Line Disturbances

• The frequency of Early Warning events can lead to prioritization and help prevent momentary and permanent faults

84% of events captured are Line Disturbances

84% Line Disturbances 12% Momentaries 4% Outages

Building a predictive grid

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• Significant Fault Current

• No Protection devices operated

Building a predictive grid

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Failing voltage regulator

Slapping conductors

Vegetation

Recurring Event Processing

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Customer defined

thresholds

User

Notification

Recurring Event Processing

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• At least 3 events within 15 days

• Fault Currents within 15%

• Faults on same phase

Consumers Energy Case Study

Grid Modernization

Line Sensors

20About CE

▪ Serves 1.8 Million Customers in Lower Peninsula Michigan

▪ 1000+ Substations / 2400+ Feeders

▪ 48,000 Miles of LVD Overhead Conductor

▪ SAIDI of 201 in 2018

▪ SAIDI Target of 165 for 2019

21Line Sensors at CE▪ 650 Line Sensors Installed on Low

Voltage Distribution (LVD) System

▪ Installed on 44 Circuits

▪ ~15 Sensors per Circuit on Average

▪ Largest Circuit has 39 Sensors

▪ Started with 10 circuits having Sensors only at Substations for quick and affordable alternative to DSCADA

▪ Have been installing larger “networks” of sensors throughout circuits in 2018/2019

22Map of Sensors

Alternative DSCADA

Capacity Planning

SAIDI Improvement

▪ Current Applications

▪ LVD Fault Analysis

▪ Load Transfers

▪ Volt VAr Optimization

Diagnostic Center

▪ Use Cases

▪ Outage Confirmation

▪ Hazard Identification

▪ Outage Prevention

▪ System Optimization

▪ Device Troubleshooting

▪ Collaboration with the Distribution Control Center

LVD Fault Analysis

▪ Utilizes Data from:

▪ Line Sensors

▪ DSCADA

▪ Automatic Transfer Reclosers

▪ Supports Real Time Events

▪ Permanent Faults

▪ Provides Fault Location to Dispatch

▪ Proactive Fault Analysis

▪ Reoccurring Disturbances

▪ Reoccurring Momentary

▪ No Found Cause in OMS

25Proactive Fault Analysis

▪ Typically Performed on Reoccurring Momentaries or Line Disturbances

▪ No Events Found in OMS

▪ Use CYME and Recorded Fault Magnitude to Identify Fault Location Downstream of Sensors▪ Use Advanced Fault Locator in CYME 8.1▪ Tolerance Set to 5%▪ Identify A Single “Short” Span for Inspection

26Proactive Fault Analysis

▪ Ideally try to Determine Zone between 1500-3000 Ft

▪ Release Field Inspection Form to Responsible Circuit Owner

▪ Inspection Should be Completed Within 10 Days

▪ Field Inspection Uses Existing Processes and Priority Codes▪ Cause/Severity of Found Issue Dictates Correctional Process Flow

27Targeted Field Inspection

28Correctional Process Flow

29Field Inspections Result

▪ Fishing Line Found Wrapped Around Primary and Neutral ▪ 165 Customers Downstream with 3 Year Circuit CAIDI of 253

▪ 165*253 = 41,745 Customer Minutes Potentially Avoided

30Proactive Fault Analysis

31Other Field Inspections Finds

32Learnings

▪ Realtime Outages (CAIDI)▪ Sensors are very successful in identifying the outage zone and

providing fault current for CYME analysis

▪ Proactive fault analysis (SAIFI)▪ ~95% Success Rate on Line to Line Faults▪ ~50% Success Rate on Line to Ground Faults

▪ CYME May Identify Multiple Laterals with Available Fault Current

▪ Things to Consider:▪ Characteristics of Faults (Symmetric, Asymmetric, Bolted, High-Impedance)▪ Dependent on Accuracy of Circuit Model▪ Only as Successful as the “Eyes” Completing the Field Inspection

33Future of P.F.A & Line Sensors

▪ Sensor’s DNP Data to be Sent to DSCADA

▪ ADMS to Incorporate OMS, DSCADA, GIS, CYME into a Single Application

▪ Proactive Fault Analysis to be Automated Using ADMS

▪ Continue to Deploy Sensors on Circuits with 20+ Miles of Overhead Conductor and 1000+ Customers

▪ Targeting Circuits with Highest SAIDI First

Please go the AclaraConnect

mobile app to take our survey PLEASE!

We need your input!

How to ContactUs?

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presenter phone

610-390-4071

616-257-4514

online

tfigura@aclara.com

joshua.clouse@cmsenergy.com

Tim Figura

Josh Clouse

See you in Nashville, Tennessee

April 27-30, 2020

join us

thank you.