WECC JSIS Meeting 2017-05-23 JSIS-EPG Product... · Reports –Dashboard summary of data quality, diagnostics to pin point problems, root cause analysis, and comparison of conditioned

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WECC JSIS Meeting

May 24, 2017

Kevin Chen

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▪ Realizing Value from Investments in Synchrophasors> Data Quality Assurance for Operations – DataNXT, eLSE

> Integrating Synchrophasor Intelligence with EMS – ICCP, DNP3, PI

> Expanded observability and Data Exchange – eLSE & ICCP

> Grid Resiliency – Emergency Operations with loss of EMS due to failure or attacks (cyber / physical) – PhasorNXT, RTDMS

> Improving State Estimation and validating models – eLSE, DataNXT, and PGDA

> Operating Guidelines (line reclosing, oscillations, phase angle limits) – PSOT & Portal, RTDMS

> Grid Performance Assessment and Utilization – PGDA

> Asset Health Monitoring – DOE Project

© Electric Power Group. 2017. All rights reserved. 1

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Real-Time Monitoring & Reports

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Phasor Data Management

Offline Analysis

Collection & Synchronization Validation & Conditioning Storage Adapters

RTDMS Visualization

PhasorNXTPlatform

Training

Synchrophasor Training Courses

Substation PDC

Control Center PDC

Phasor Simulator For Operator Training

PI

Remote Client Access –Available on Desktops, Tablets, Smartphones, etc.

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|© Electric Power Group. 2017. All rights reserved. 4


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Model-Less/Algorithmic

Validation & Conditioning

eLSE-Based

Conditioning

Output

Input: Raw C37.118

eLSE conditioned

Raw or Conditioned Data with Optional Quality Flags

Data Quality Flags Model-lessconditioned

Data QualityReports

DataNXT Algorithms Detect, Flag, and Replace Bad Data(Error Sources 1 – 6)

Validated Model-Based Calculated Values (Error Source 7)

Database PIEMS

PI GatewayICCP GatewayC37.118C37.118.2

Real-time Applications

ComtradeCSV

eLSE Module

3rd Party Algorithms


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▪ Data Availability - How much data is missing? When? Where?

▪ Data Quality - How much of the data is Good, Bad or Uncertain?

▪ Problem Breakdown - What are the problems causing of Bad and Uncertain data?

▪ Problem Sources - What are the problem root causes (both PMUs & Signals)? When and for how long?

▪ Reports – Dashboard summary of data quality, diagnostics to pin point problems, root cause analysis, and comparison of conditioned data and raw data





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EMS/SCADASynchrophasor System

RTU’sPMUs

Applications

with SCADA

Applications

with Synchrophasors

Applications

with SCADA and

Synchrophasors

e.g. One-Line

Diagram with

phase angles

Applications with

Synchrophasors

and SCADA Data

e.g. PhasorNXT

ICCP

Gateway


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▪ Enable EMS/SCADA with Synchrophasors> Dynamics: Oscillations, Phase Angles, Sensitivities, etc.

> Dynamic Alarms and Composite Alarms e.g. Low Damping, Islanding

> Frequency Disturbance Source Location

> Transmission MW Flow Constraints

> Improve State Estimation

> Improve Grid Resilience

▪ Data Exchange with ISO’s and Utilities> Raw PMU Measurements (voltages, currents, frequency, etc.)

> Calculated Values (angle difference, system frequency, real/reactive power, mode, sensitivity, oscillation, etc.)

> Alarms/Events (threshold violation, rate of change violation, composite alarms, global alarms etc.)


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PMU Measurements(Telemetered)

Linear State Estimator(Estimated)

Applications(Calculated)

Alarms/Events(Calculated)

1. Voltage Magnitude

& Angle

2. Current Magnitude

& Angle

3. Frequency & DF/DT

4. IEEE 37.118 digitals

5. IEEE 37.118 analogs

1. Voltage

Magnitude &

Angle

2. Current

Magnitude &

Angle

1. Real & Reactive

Power

2. Corridor Real &

Reactive Power

3. Angle Difference

4. System Frequency

5. Voltage & Angle

Sensitivity

6. Mode Frequency,

Damping Ratio, and

Energy

7. Oscillation Energy for

all 4 frequency

bands

1. Threshold Violations

(Alarm)

2. Rate of Change Violations

(Event)

3. Global Alarms & Global

Events

4. Islanding, Generation

Trip, and Load Drop

Events

5. Composite Alarms

6. Oscillation & Low

Damping Alarms

7. High voltage/Angle

Sensitivity Alarms



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▪ Provides Reliability and Redundancy Independent of EMS / SCADA

▪ Key Features> Synchrophasor Applications – (Oscillations, Sensitivities, etc.)

> Linear State Estimation – (High Data Quality, Expanded Visibility)

> Topology Information – (Real-time Breaker Status)

> One-Line Diagrams

> Real-Time Monitoring Visualization

▪ PhasorNXT Early Participants:> ERCOT, Duke, Dominion

▪ PhasorNXT Running at Duke Energy since May 2016

▪ ERCOT Deployed in Test Environment

© Electric Power Group 2017. All rights reserved 15

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▪ Deployed at Charlotte Control Center and Planned for Florida

▪ Integrated with Duke EMS> One-Line Diagrams > Real-Time Breaker Status> Auto builds network model from EMS using CIM

▪ Key Features> Scrubs data to improve data quality – DataNXT> Always solves without a full system model – eLSE> Increases visibility through virtual PMU’s – eLSE> Auto builds one-lines from existing EMS displays> Runs at 30 times / second> Utilizes RTDMS Platform for Analytics and Visualization

▪ PhasorNXT Running at Duke Energy without fail since May 2016


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System level one-line with eLSE valueAble to drill down to substation level one-line

© Electric Power Group. 2017. All rights reserved.

PUBLIC

Substation Neighborhood One-line with PMU Raw Data/LSE Values

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Source: Patrick Gravois, Use Cases of Linear State Estimator Technology for Grid Resiliency, EPG Users Group Webinar, Feb. 15, 2017.

PUBLIC

ERCOT Specific Use Cases

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▪ Individual GTC Visibility> Visibility when EMS is down

> Solve independently for each GTC

> Monitor voltage mag & ang, power flows of interface

> Monitor voltage stability, oscillations

▪ Example: Panhandle Export Monitoring> Monitor 8 tie lines interface

> Retain operating at last export limits– Voltage stability issues

– Wind curtailment

– Generation re-dispatch

– NERC 30min rule

PUBLIC

Panhandle Export GTC Display

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RTDMS 2017 Release (March 2017)

*Planned


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▪ Oscillation Detection & Monitoring Software Version 2.0 > Entire code being re-written

> Developed by Montana Tech (Trudnowski et al); Licensed & Maintained by T&D Consulting Engineers (TDCE) LLC.

▪ Mode Metering Module (MMM)> Frequency up to Nyquist Frequency

> Result is Frequency, Damping, Energy & Mode Shape

> Allows multiple input signals

> Detailed quality flag

▪ Oscillation Detection Module (ODM)> Runs all the time

• Detection based on 4 oscillatory frequency bands

> Result gives signals RMS energy for each band

> Spectral Analysis on the highest RMS Energy band to identify exact oscillatory frequency

> Built-in Alarming


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• Mode shape shown in geo-location, Location of icon• Individual signal location• Aggregated signal: average

of angle difference, or power PMU location

• Size of circle represents shape amplitude

• Arrow in circle represents shape phase, arrow length is twice the radius of circle

• Color of circle is green, use alarm color scheme of damping


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• A layer – user select signals they want to show

• Use one icon to show alarm band for each PMU (under one icon, may have multiple signals)

• Whenever which alarmed, the icon changes color

• If signal is aggregated, use the average long&lat


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• This display popup after clicking

• OD 4 band chart of the alarmed signal

• Line chart of the alarmed signal

• Spectral shape of the alarmed signal + the highest top 5 RMS energy signal identified for the alarm

• Scroll bar for event analyzer function is also included

• *If more than 1 signal type is alarmed, a same set of view should form display for each signal, the display would group together by tabs (as different tabs in a profile)


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APIs

OMS Engine

RTDMS Database

RTDMS ServerRTDMS Server

C37.118

RTDMS Advanced Calculation Engine

RTDMS Advanced Calculation Engine

Third party Services and Applications

RTDMS ClientRTDMS Client

PGDAPGDA

RTDMS Data Access Service

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·

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EMS

Other utility existing apps

DNP-3 Interface

PI Interface

ICCP Interface

Integration

SDS Interface

PI

OMS Results Visualization

OMS Results

OMS Configuration

Pre-processing

OMS Results Storage


| 27© Electric Power Group. 2017. All rights reserved.

|5/26/2017 28© Electric Power Group. 2017. All rights reserved.

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Planned in Q3 2017


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▪ Fault Analysis for NERC PRC Standard Requirements

> Estimating phasors (magnitude and angle) from voltage and current waveforms

> Calculating symmetrical components

> Estimating frequency in Hz from voltage angle using IEEE C37.118.1 standard

▪ Fault location for IEEE C37.114 Standard Requirements based on DFR records

▪ Harmonic Evaluation for IEEE 519 Standard Requirements

▪ Voltage Ride Through (VRT) Assessment for NERC PRC-024-2 and IEEE 1547 Standard Requirements

▪ Pseudo Signal Calculator

▪ Import data from Open Historian

▪ PGDA Report Improvement for NERC MOD-033 standard Requirements

▪ New Module – Automated Event Miner (AEM)

> Mined events reported by location, severity, timing/duration, count and clusters

> Data sources: synchrophasors (recorded data) and simulated phasors (simulated data) archived in flat files (CSV, COMTRADE, DST), Historians (PI, eDNA, open Historian) and Relational Databases


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Automated Event Miner

Oscillation Events by

Location, Severity, Mode & Duration

Generation Trip

Frequency Events by

Location, Severity, Timing & Count

Wide Area Angle Events by

Location, Seasonal Alert/Alarm Limits, Timing,

Count, Severity

Poor and Negatively Damped

Contingencies

Voltage Events & Clusters by

Zones, Severity, Duration, Count

Line Trip



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▪ Extracting large amounts of synchrophasor data efficiently for offline analysis. (August 2016)

▪ Quickly creating an event report that could be distributed to operators, engineers and managers.

(Sept. 2016)

▪ System Model Validation for MOD-33 Requirement (Oct. 12)

▪ Configuring alarms and validate parameters to provide meaningful results for operators. (Dec 14)

▪ Synchrophasor Intelligence in EMS for Use in Operations (Jan 2017)

▪ Use Cases of Linear State Estimator Technology for Grid Resiliency (Feb 2017)

▪ Delivering Reliable and Validated PMU Data for Use by Operators (April 2017)

▪ Generator Parameter Validation (June 2017)

▪ Remote/Mobile access with local host for real-time monitoring and event diagnostics during

emergencies

▪ Data Mining for grid events of different types, e.g. oscillations, generator trips etc.

▪ Using composite alarms as early warning for operator action

▪ ePDC/DataNXT/RTDMS pub/sub Synchrophasor Distribution Service

▪ Other topics…

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Presentation and Recording available at:http://electricpowergroup.com/webinars.html

http://electricpowergroup.com/webinars.html

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Electric Power Group (EPG)

201 S. Lake Ave. Suite 400

Pasadena, CA 91101

(626) 685 2015

Heng (Kevin) Chen

[email protected]

Documents

WECC JSIS Meeting 2017-05-23 JSIS-EPG Product... · Reports –Dashboard summary of data quality, diagnostics to pin point problems, root cause analysis, and comparison of conditioned