Intelligent Line Monitoring and Disturbance Management Ryan - - PowerPoint PPT Presentation

intelligent line monitoring and disturbance management
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Intelligent Line Monitoring and Disturbance Management Ryan - - PowerPoint PPT Presentation

Intelligent Line Monitoring and Disturbance Management Ryan Kelso/Justin Stroupe July 24, 2018 2 New Braunfels Utilities Overview 41,373 Electric Meters 99.5% AMI (Itron Network Solutions) 160 sq. mi. Electric Territory 619 miles


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Intelligent Line Monitoring and Disturbance Management

Ryan Kelso/Justin Stroupe July 24, 2018

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New Braunfels Utilities Overview

41,373 Electric Meters 99.5% AMI (Itron Network Solutions) 160 sq. mi. Electric Territory 619 miles Primary OH 285 miles Primary UG 40 Distribution Feeders 20 miles of 138kV transmission 24/7 Control Center Operations

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The Desire

Enhance visibility of the distribution system Improve system resiliency

Reduce outage duration - SAIDI Lower outage frequency - SAIFI

Leverage existing AMI communications network to connect grid-edge devices

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Existing Tools

Fault Indicators (flashing lights) Milsoft Outage Management System Itron Network Solutions AMI Intelligent substation relays

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The Solution: Sentient

$100+ million invested in developing and delivering sensing technology Proven technology ≈ 60,000 intelligent sensors shipped. Serving 8 of top 10 largest utilities in North America Highest fidelity

  • scillography on the

market (>7,800 samples/second) Multiple communications

  • ptions

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MM3: Sentient Core Sensing Solution

Overhead Feeder Monitoring System

Continuously sampling, 130 Sample/cycle Current and E- field capture GPS for location and precision timing MM3 supports multiple communications options: Itron, L+G, and LTE technology Patented power harvesting technology requires no servicing or maintenance for the life of the product

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MM3 Intelligent Sensor

Easy installation Local annunciation: daylight-visible LED Embedded fault detection algorithms:

Fixed Trip, Auto-range, Rate

  • f Change (di/dT)

Inrush restraint, Loss Of Source

Event Details:

Fault magnitude, related hi-res waveform

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Ample Software

Foundation for Sentient’s Grid Analytics System (GAS)

Complete sensor management Multiple DNP masters – directly connect to devices Analytics Software:

Interval Logging - Current and Conductor Temperature per phase Fault Location along the feeder and on what phase Phase Identification E-Field – monitors reverse flow of current Disturbance Management (Momentary/Incidents) – Waveforms

Easy to integrate APIs for historian integration Role level security

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Pilot Approach: 9 Sensors

Deployed 3 sets of sensors

  • n 2 distribution feeders

Deployed at 2 substation feeder exits and 1 feeder midpoint Developed ROI measurement

Value of Lost Load + Operational Cost per SAIDI Minute

Focused on disturbance management

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Disturbance Management what is a disturbance?

A disturbance is a small and momentary change in current/e-field waveforms. Characteristics of a disturbance are:

Disturbances usually do not cause a sustained power interrupt Magnitude is usually 1-5 times normal current (faults can cause > 15 times increase in current) Duration usually lasts less than 5 cycles (5 – 80 milliseconds) Distortions: 1st to 50 harmonic content (Sentient can detect up to 31st harmonic in underground solution)

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Pilot Results: Disturbance Management

Trees grow into lines Control Center sees elevated disturbance counts Electric Ops finds tree making contact with B&C phase, trims trees to prevent

  • utage, disturbances

return to normal Avoided SAIDI: 2.66 min. Avoided Cost: $16,770

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Change in workflow

Operator receives fault data from Sensors Runs fault location tool in OMS Provides

  • perations

with predicted location of fault Operations makes repairs and reports back results for ROI Calculation Operator sees fault If fault data is available provide prediction of fault Operations will make decision on whether to run out circuit No report usually provided

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Calculating ROI

Avoided Costs(ROI) = Value of Lost Load (VOLL) + Operational Cost Per SAIDI Minute(OCPSM)

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Pilot Results

Delivered 2.66 SAIDI minute reduction through disturbance management

$16,770 in VOLL+OCPSM savings SAIFI reduction

Communication through AMI network worked as designed

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Phase 2: 60 Sensors

Deployed 20 sets of sensors on 18 distribution feeders Deployed on feeders with old relays that did not report fault amplitude Positioned at midpoint of circuit

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Benefits: Phase Identification

Identifies phase miss-match and reports detected phase

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Benefits: Phase Balancing

Allow decision making based on facts not estimates Planning, load flow, dynamic loading application data

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Benefits: Disturbance Monitoring

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Benefits: Fault Detection

  • Enables waveform capture, storage and analysis
  • Precisely determine boundaries of disturbance using patent-pending algorithm
  • Supports automatic or manual retrieval of waveforms
  • Foundational component for disturbance analysis and event categorization
  • Capture momentary and transient events for further analysis
  • Instrument-class, sampling rate, “Oscilloscope on the wire”. True 130 samples/cycle.

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Benefits: Fault Locating

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Benefits: Temperature Monitoring

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Success

Predicted Location Actual Location Fault Waveform

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Success

Faulted Element: Broken Insulator Cause: Lightning Avoided SAIDI: 2.66 min. Avoided Cost: $28,329.81

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Success

Issue Fixed on 7/20 – Disturbance counts fall off

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Phase 3: 66 Sensors

Currently deploying 22 sets of sensors Deploying at feeder substation exits to maximize coverage for disturbance management

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Results

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Results

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Results

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Results

Avoided SAIDI: 5.32 Minutes Avoided Costs: $45,100.30 Avoided Interruptions: 1,760 SAIFI Reduction: 0.04 Improved System Resiliency Improved Customer Experience

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Lessons Learned

Deployment at substation feeder exit yields maximum disturbance management coverage Get it in the hands of System Operators early Develop metrics, track and brag on success – resulted in increased buy-in

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Future Plans

Continue deployment of MM3 Q3 2018: Pilot ZM1 “Low Amp” Line Monitor Q4 2018: Pilot UM3+ UG Line Monitor Q4 2018: Launch NBU UAV Program

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Questions?

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