EPG Products Brief for JSIS 03-05-15

Transcription

Electric Power Group (EPG)
Ken Martin and Kevin Chen
|
 EPG has over 15
synchrophasor products &
several more service
offerings
 First system – RTDMS was
introduced in 2003
 Portfolio provides end-toend coverage of
synchrophasor system
needs
Sharing &
Security
Monitoring,
Analytics, Alarming,
Awareness
Management,
Quality & Storage
Data
Real Time
Systems
Training
© Electric Power Group 2015. All rights reserved
Enterprise
Integration
Analytics
Engg., Power
Systems, Events,
Mining
3/6/2015 | 1
 ePDC
Phasor Data Concentrator
 eSPDC
Substation- PDC
 RTDMS Real Time
Platform
 RTDMS Viz. Client
 PhasorArchiver
 PGDA
Offline Analytics Tool
 GridSmarts
 DataNXT
Data Validation &
Conditioning
 PSOT
Simulator for Operator
Training
 PhasorNXT
 Data Mining
 Analytics
Baselining
Event Analysis
Oscillation Analysis
Frequency Response &
Renewables’ Impact
> Data Quality Analysis
>
>
>
>
LSE+Visualization
 ePDG
Phasor Data Gateway
 P/S Registry
Phasor Registry
 ISG
 DNP3 Adapter
 ICCP Adapter
 RxM
 Training
 Custom Software
Development
3/6/2015 | 2
New York ISO
|
Sharing &
Security
Management
Real Time
Monitoring, Analytics,
Alarming, Awareness
Systems
Training
Management,
Quality &
Storage
Data
Enterprise
Integration
Analytics
Engg., Power Systems,
Events, Mining
3/6/2015 | 4
e
enhanced Phasor Data Concentrator
3/6/2015 | 5
e
 Software PDC- Windows, Linux and Unix
 Tested for over 500 PMU’s; 100+ Output Streams
 Real time input/output monitoring
 C37.118 – 2005 & C37.118 – 2011 compliant
 Output Streams:
C37.118.1&2; RDBMS; OSI-PI; eDNA; OPC; COMTRADE; .CSV
 Supports redundant, failover, clustered deployments
3/6/2015 | 6
e
 Redundant Source Selection
> Best PMU signal selection
> Upstream PDC/PMU switch-over
 DNP3 adapter
 Time of Arrival tracking
 Phasor Archiver
 PI Adaptor
 AEP
 Ameren
 APS
 BPA
 CA-ISO
 ERCOT
 LA-DWP
 MISO
 Mid American
 NY-ISO
 NYPA
 PG&E
 PJM
 PNM
 SCE
 Southern Co
 SRP
 Many more…
3/6/2015 | 7
enhanced Substation Phasor Data Concentrator
3/6/2015 | 8
e
 Substation hardened chassis of choice
(Moxa, Advantech, GE, SEL, etc.; Windows,
Linux or UNIX)
 With on-board CF-storage
 Remote management
 C37.118 – 2005 & C37.118 – 2011 compliant
On MOXA
Advantages of Data Concentration at
Substation
> Significantly reduced bandwidth required Vs.
multiple streams
> Local archiving in case of comms. Failure
> End to end latency observation
On Advantech
3/6/2015 | 9
Advanced Data Validation, Conditioning & Reporting
3/6/2015 | 10
 DataNXT is a platform with modules for Validation, Conditioning and Other
Processes
 DataNXT modules include:
> Advanced Validation and Conditioning Module – based on algorithms, no model required
> Future: Linear State Estimator (LSE) Validation and Conditioning Module using system
model
> Adaptors to manage data inputs and outputs in different formats for interface with
different applications
 DataNXT is designed for users to:
> Select validation & conditioning methods
> Create conditioned data output streams for consumption by different applications
3/6/2015 | 11
DataNXT uses several data
problem detection methods
 Basic Methods
> Communication interface check – connection & data
> Data protocol error checking, eg, frame size, header format, CRC
> Data flags from C37.118
 Advanced Algorithms
>
>
>
>
>
>
>
Data frame sequence
Data integrity check - time shift, time stamp check, local time comparisons
Data dropout detection and reporting
Stale & noisy data
Measurement out-of-range
Frequency validation based on Voltage measurement
Topology checks – eg, currents into a bus, power across a transmission line, phase angle
differences, etc.
3/6/2015 | 12
Data
Strea
m
GPS (Optional)
Module 1 & 2
Communication &
Message Format
Comm error
Msg size
Chk word
PMU ID
Missing Samples
Data validation flag
Module 3
Time & Timing
Msg order &
sequence
Time good
PMU Status
Latency ok
H/L limits
Stuttering
Hi Noise
Stale data
Frequency
derivation
Module 4 & 5
PMU Status &
Data
characteristics
User defined
calculations &
logics for
topologybased
validation
Module 6
Measurement
Topology
Output
Conditioning
Page 13
Combine flag
& data
Conditioned
data set to
NaN for error
Conditioned
data w/or
w/o error
flags
3/6/2015 |
 DataNXT is designed as a data
services platform
– Validate, Condition & Cleans,
Calibrate
– Distribute application specific
data to downstream consumers
of data
•
•
•
EMS
Down sampled
Padded
Conditioned
Phasor
SE
•
•
•
W/breaker stat
Range checked
Flagged
Real
Time
Monitor
ing
•
•
•
•
LSE Calibrated
Range checked
Conditioned
Flagged
Archiving
•
•
Flagged
As received
3/6/2015 | 14
Sharing &
Security
Monitoring,
Analytics,
Alarming,
Awareness
Real
Time
Systems
Training
Management, Quality
& Storage
Data
Enterprise
Integration
Analytics
Engg., Power
Systems, Events,
Mining
3/6/2015 | 15
Real Time Monitoring System
3/6/2015 | 16
Data Hub
Data Collection,
Pre-processing
Archiving and Access
Central Server Design
with Configurability,
• Data Filters
• Output Formats
•
•
•
•
Open, Extensible Platform
•
•
•
•
Data input – standard C37.118 format
Open architecture
Integrate data sources, API’s
Modular build – ability to plug in new
functionality, algorithms, monitoring
tools/techniques
Configurability
•
•
•
•
Central Configurability on Server
Local Configurability on Clients
Facilitates “plug-n-play”.
Allows for online modification/ expansion
as new devices are added or removed.
Visualization
•
•
•
•
•
Reporting
Dashboard Display
Tiered Visualization Architecture
Wide-Area Displays
Local Displays
Configurability
Monitoring/
Algorithms/Metrics
•
•
•
•
•
Angular Separation
Frequency
Real and Reactive Power
Small Signal Stability (% Damping)
Voltage/Angle Sensitivities
•
•
•
•
Real Time Alarming
• Real Time Alarming on Threshold
and Rate of Change Violation
• Engineering Thresholds or
Mandatory Standards
•
•
•
•
PMU Performance
Baseline – Trends
Alarm Logs
Daily/Monthly Reports
(Customizable)
Offline
Event Files
Replay
Event Analysis – Forensic,
Performance Analysis
• Automatic Notification
• Configurability
3/6/2015 | 17




Wide Area Situational Awareness
Automated Event Analyzer
Phase Angle & Grid Stress Monitoring
Oscillation Monitoring (Mode Meter)
> WECC Tuned Algorithm from PNNL/Montana
Tech (.NET)OR
> Algorithm developed by Montana Tech (MATLAB)
 Oscillation Detection
 Flow Gate and Inter-area Power Transfer
Monitoring
 Generation Trip Detection
 Load Trip Detection
 Islanding Detection and Re-Synchronization
 Intelligent Composite Alarms
> WECC Tuned Algorithm from PNNL/Montana
Tech (.NET)OR
> Transient triggered detection developed by WSU
 Advanced Built-in Data Validation
 Voltage Sensitivity Analysis
 Angle Sensitivity Analysis
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 Prism 4.0 framework and .NET 4.0 (WPF)
 Resolution Independent, Vector-based rendering engine
(scalable from tablets to wall displays without loss of resolution)
 Supports 120 refresh/sec
 Advanced graphics, animation, styles, templates ; Library of Built-in Visualization
Templates
 Flexible display builder / display configuration
 Role-based profile/display management
 Free-form Drawing Tool with Data Binding
 Smart De-cluttering
 Integrated Point Configuration (CIM, etc.)
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 Configurable Multi-layer support for Maps
> Base map layer, measurement layers, electrical infrastructure layers, shape
file support, environmental layers etc.
 Sophisticated de-cluttering features in maps
 Drill down capabilities
 Ability to locate alarm locations on maps and trend the alarm metric’s
3/6/2015 | 20
 Deployable on LAN/WAN
 Secure Certificate support
 Multi Data Source (Weather, Maps,
Traffic)
 Multi Profile Architecture
> Same client can visualize streams from
multiple RTDMS Servers
Some Highlights
 User defined Event Marking
 Recent Event List for Replay
and Event Report
 Replay (from DB, COMTRADE, marked
events)
 On the fly alarm trending
 On the fly calculated data
monitoring
 Display builder
3/6/2015 | 21
Reporting and Near Real Time Dashboard
3/6/2015 | 22
 Web based Reporting
 Near Real Time Dashboard
 Graphs and Charts
 Auto update and refresh
 Comparator function
> Comparison with day before, hour before, before/after
 User definable reports – on the fly definition
 Seamless, single process for:
> On Screen Information + Hard Copy + Soft Copy + Underlying Data
 Active Directory access control, PMU level security
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 Dashboards
 Alarms and Events.
 Flexible to meet the needs of different
disciplines and functions.
 Customizable.
 Add / Remove a widget
 Reposition of widgets.
 Refresh a widget : manual or auto
 PMU Performance.


PMU Data quality
Individual or Overall PMU performance
 Near Real Time Vs Historic Comparison
 Data Trend
 Voltage & Frequency Stability
 Phase Angle Difference
 Mode Meter, Oscillations & Voltage Sensitivity
 Alarm list and analysis
 Event list and file downloads.
 Statistical analysis

Min, Max , Average of data w.r.t time
 Batch reports


Configurable reports and email lists
Scheduling
 User Authentication and Access Control

Comply with RTDMS security access.
 Data Extraction


Export data/report view in various formats. E.g.
pdf, excel ,csv etc.
Print reports
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Phasor based LSE + Real Time Situational Awareness
3/6/2015 | 25
 PhasorNXT is a platform with modules for independent synchrophasor state
estimation and situational awareness
 PhasorNXT modules include:
Advanced Validation and Conditioning – based on algorithms & model
Network Builder – Integrate with CIM, EMS vendor saved case
Linear State Estimator (LSE)
One-Line Diagram
Existing RTDMS on-line applications
Adaptors to manage data inputs and outputs in different formats for interface with different
applications
> Future: Real-time Contingency Analysis, Voltage Stability Analysis, Frequency Response Analysis, etc.
>
>
>
>
>
>
 PhasorNXT early adopters:
> Duke Energy, ERCOT, Dominion, PJM
3/6/2015 | 26
PhasorNXT Product
1. Data Acquisition
Advanced Data Validation and ConditioningState Estimation through LSE
Simulations to validate
PMU coverage
2. Advanced Data Validation & Conditioning + State Estimation through LSE
Dynamic
Simulated Phasor
Data
PMU & PDC
PMU C37.118
Simulator
Concentrated
Real-time C37.118
standard data stream
with digital breaker status
Open Interface
for 3rd party
applications
integration
GUI &
Service
Manager
Data Validation and
Conditioning
Pre-conditioned
Value
Pre-conditioned
Value
Result
synchronization and
selection
Network Model
(CIM, CSV, etc)
Update System
Electrical Model
via *.xml file
LSE Solver
LSE Conditioned +
Estimated Value
LSE Network
Model Editor
User data
entry
Near Real-time
Off-line
Integration
with RTDMS
Version 1 includes:
•
•
•
•
•
•
Advanced Data Validation
& Conditioning
Network Builder
LSE
ICCP Gateway
One-Line Diagram
RTDMS Integration
Conditioned + Estimated
Values
RTDMS
Server
Open Interface for
3rd party applications
integration
Visualization
RTDMS
Client with Schematical
diagram – Operator
Visualization of LSE
One-line
Diagrams
PMU/Signal Registry
RTDMS
Database
One-line
Diagram
(.SVG)
ISG
User data
entry
One-line
Diagram Editor
One-Line Diagram
3. RTDMS Platform with One Line Diagram
3/6/2015 | 27
 Presents both raw & cleaned data for operations
> Improves operators’ confidence in PMU data
 LSE enhances the grid observability through PMU
> Extends the observable area
> Always converges
 Serves as totally independent backup to cover EMS outages
> Addresses traditional SE none convergence issue
> Addresses SCADA communication loss issue
> Addresses EMS & backup EMS common mode failure
 Provides operators access to advanced monitoring displays
>
>
>
>
Phase angles
Aggregated measurements such as total import/export
Oscillations
Results of complex analysis algorithms
3/6/2015 | 28
Sharing &
Security
Monitoring,
Awareness
Training
Management,
Quality & Storage
Data
Real
Time
Systems
Enterprise
Integratio
n
Analytics
Engg., Power
Systems, Events,
Mining
|
Offline Application for Engg. Analysis of Time Series Data
3/6/2015 | 30
Data Engine
Data Sources
• Databases
• Data Files
• Data Merging
• Data Handling – Multiple
Data Sources
• Pseudo Signal creation
• Save and Re-produce analysis
• Event Templates
• Advanced Data Conditioning
Filters
Statistical Analysis
• Baseline Daily
Performance Ranges
• Identify & Locate hidden
events
Sensitivity Analysis
• Quantify Variation of one
metric over another
(kV/100MW)
• Identify stressed locations
Plot Analysis
• Plot metrics over time
• Signal manipulation i.e. Normalize
voltage by basekV
• Variability of the grid metrics across
time intervals measured at different
locations
Spectral Analysis
• Significant peaks signify
oscillatory modes
• Identify & group location with
similar oscillation patterns
• Identify Nature of Oscillations
Ringdown Analysis
• Oscillation Detection Tool under
system dynamic conditions
PGDA Report
Ambient Modal Analysis
• Provides Modal Frequency &
• Sustained Oscillation Detection Tool • Automated Report Generator Damping
• Provides Modal Frequency
• Word, PDF
• Provides Magnitude of Modes and
• Provides Damping
Nature of Oscillations
• Provides Energy
3/6/2015 | 31
 Disturbance Analysis and Root Cause Assessment
Quick and detailed analysis of power system events
like generation trips , line trips, generation-load
imbalances, and other dynamic events
 Baseline Daily Performance & Establish Safe
Operating Ranges
Examine Daily System Performance and establish
reliable ranges for voltage, frequency, and other
system metrics for real time monitoring systems
 Oscillation Detection
Identify the presence of event-driven and ambient
oscillatory modes in power system and
determine conditions (Location/s, Significant
Modes, Energy, Frequency) for additional
monitoring of significant modes.
 Generator Frequency Response Analysis
Calculate the Primary/Inertial Frequency
Response of a system following a
generation loss.
 Model Validation
Verify and improve dynamic models used in
power system simulations to aid in planning
and engineering studies
 Comparative Analysis
Verify & Validate SCADA & State Estimation
results with phasor data to identify
differences & deviations
 Stability Assessment
Identify & Locate substations approaching
instability issues and quantify sensitivity
limits for real time monitoring
3/6/2015 | 32
Main
Menu
Toolbar
Available
signal from
data source
Analysis
Windows
Selected
signal for
analysis
Analysis
Parameters
Signal
Preview
Status bar
Time
Reference
Window
Calculation
Reference
Window
Pa
ge
| 33
S
Data Mining Service
3/6/2015 | 34

Identify Oscillatory Vulnerabilities
–
–

Establish realistic and significant thresholds
–
–
–

What alarms & triggers need to be configured to capture significant disturbances?
Validate, Baseline and Verify - How many violations occurred? Which Location had most
number of violations? What time (Hour, Day, Week, and Month) ?
Threshold values  False positives Vs. Significant Violations
Determine System Unknowns
–
–

Unknown Oscillations
Temporary Oscillations triggered by disturbances
Missed / Unrecorded Events
Identify situations of system vulnerability – combinations, correlations
Quantify System Performance
–
–
How Many Events – Where, When, How Severe?
Missed Events
3/6/2015 | 35
S
 Expert system to dig through huge volumes of phasor data to identify
relevant events, specific occurrences, behavior patterns and discover
insights







Oscillations – Inter-area, Control system,
Regional
Generation Loss
Load Loss
Line Faults – Single Phase or Three Phase
scenarios
Line Trip – Change in Topology or Line
Outage
Delayed Voltage Recovery – Elongated
Low Voltage Conditions
Value Violations, Violations over time
3/6/2015 | 36
 Logical combinations
(AND/OR) of multiple criteria
 Statistical Information



–
–
–
–
–
–
–
Counts; Distributions; Pivots
Grouping By: Severity; Type; Time Period; Location
 Special Abilities
 Set pseudo signals
 Sampling rate selection
 Quality filters
 PMU selections
 Multiple Algorithm choices
 Extract data associated
with mined items
Multiple from Data
Sources
RTDMS DB
Phasor Archiver
COMTRADE Files
DST Files
OSI PI
eDNA
Other Flat File Formats

Mine across multiple data
sources, simultaneously

Consolidate or Breakdown
Mining Results
–
–
–
By/Across Data Source
By/Over Time
By/Across Jobs
3/6/2015 | 37
S
 Designed specifically for Power Systems analytics –
(not a general purpose data mining system)
 Mines only for power system specific information
Derives meaningful information (extract  process /analyze  resultant information) Vs. “Pull Data”
 In built expertise required to translate data into information, e.g.
‒ Identifying generation trips from frequency data
‒ Correlating High Angle Values with Low Voltages to determine vulnerability
‒ Algorithmic processing to identify oscillations
‒ Consolidating “hits” to respective events
3/6/2015 | 38
Sharing &
Security
Monitoring,
Awareness
Training
Management,
Quality & Storage
Data
Real
Time
Systems
Enterprise
Integratio
n
Analytics
Engg., Power Systems,
Events, Mining
|
Phasor Simulator for RTDMS Training
3/6/2015 | 40
Pa
ge
3/6/2015 | 41
Dynamics Simulator
Training
Scenarios
(PSLF, PSS/E, TSAT…)
Phasor Data
Stream
Generator
Dynamics
Simulator
Output
System Model
Visualization & Analytics
Platform (RTDMS)
Instruction
Set/Case for
Dynamics
Simulator
PMU
Simulator
ePDC
Database
Analytics
Alarming
Dynamics
Engine
Trainee Console
Operator
Actions
3/6/2015 | 42
 DoE co-funded project (FOA 970)
 Host partners : ERCOT and SCE
 Advisor: Dominion
 Release : End 2015
 Real Time Simulator Versions:
> With TSAT/ePMU Real Time Simulator (Powertech Labs)
> With ePHASORsim (Opal-RT)
> With RTDS
3/6/2015 | 43
Sharing &
Security
Monitoring,
Awareness
Training
Data
Real
Time
Systems
Enterprise
Integration
Analytics
DNP3, ICCP, PI
Engg., Power
Systems, Events,
Mining
|
 DNP3 Adapter  ICCP Adapter  PI Adapter  ISG
3/6/2015 | 45
 Available for RTDMS and ePDC
 DNP3 adaptor is a DNP3 slave using TCP
 Support Binary and Analog points
 Support class poll and integrity poll
 Analog PMU data for selected frequency
and phasor measurements
 Analog PMU data for selected calculated
values – power, system frequency, angle
difference, corridor power flow
 Analog PMU data for selected mode,
damping, oscillation, and sensitivity
 Binary data for selected PMU status and
IEEE 37.118 digital indication points.
 Binary data indications for measurement
alarms.
 Binary data indications for PMU system
problems.
 Data quality indication for each analog &
binary point.
3/6/2015 | 46
 One – way ICCP Server
 Using SISCO MMS-EASE Lite with
ICCP-TASE.2 Extensions
 Compliant with ICCP Block 1, 2 & 4
 Expected release by Q2 2015
3/6/2015 | 47
 Archive all raw measurements including
> status, analog, digital, voltage phasor, current phasor, frequency, and df/dt, and calculated values including
power, angle difference, power flow gate, mode, sensitivity, and oscillation along with PMU’s date/time.
 Configurable to enable/disable automatically create PI tags with configurable default
tag attributes.
 Map data quality flags to RTDMS status digital set.
 Allow selection of PMUs/signals for archiving.
 Fully integrated with RTDMS so that there is no additional service to manage and
failover.
 In auto PI point generation mode, point mapping through extended description and
point source instead of tag name so that tag names are allowed to be changed.
 In manual PI point mapping mode, RTDMS supports reusing existing points in PI
historian.
3/6/2015 | 48
Organization
Infrastructure Integration
Salient Information
NYISO
ABB EMS, CIM Integration, ICCP integration (under
planning)
Redundant/Failover/Multi-site; 10 yr archiving
PJM
Siemens EMS; PI Integration; DNP3
Penetration testing; Cert. security for TO’s;
Redundant/Failover/Multi-site; Shared screen
with TO’s
Dominion
Alstom EMS; OpenPDC, RTDS Integration; Open
Historian Integration
Unified visualization platform; Digitals monitoring
Duke
Alstom EMS; OpenPDC, PI Integration; Alarm
integration with DNP3
Redundant/Failover/Multi-site
SCE
GE EMS; Phasor Gateway, Registry; Full PMU and
signal management thru EMS; RTDS Integration
Redundant/Failover/Multi-site; Linux
BPA
DNP3 for EMS
ePDC- Redundant/Failover/Multi-site; SVDCA
ERCOT
Alstom EMS, Powertech TSAT
Baselining, Wind Integration; Oscillation; Data
Mining; Offline&Real-time simulation; Shared
screen with TO’s
CCET/ERCOT
CCET/ERCOT Demonstration
Critical Infrastructure Cyber Security Wrap with
Intel/McAfee
3/6/2015
49 | 49
 GPV  ePDG  P/S Registry  ISG RxM
3/6/2015 | 50
Product
Description
Key Features
GPV
Generator Parameter Validation



PSS, Governor, Exciter, Generator
Validation + Calibration
User interactive to include engineering
judgment
ePDG
Phasor Data Gateway


Edge device for data exchange
Configurable outbound and inbound C37.118
streams
P/S Registry
Phasor Data Registry, with publish
–subscribe functionality


Fully integrated with ePDC and ePDG
Uniquely configurable subscriber streams,
permissions based.
Integrated with AD

ISG- Intelligent Synchrophasor
Gateway
Middleware, Web service for real
time data subscription from
RTDMS




API for phasor data from DB
Multiple data services – 1 sec, sub sec,
alarms, Data Quality
Certificate based security
LAN or remote deployment
3/6/2015 | 51
Product
Description
Key Features
RxM
RTDMS Axxess Manager.

Redundant/Back-up PDC or Automatically switches to available 
PDC/PMU in case of failure

PMU Interrogator
Integration module for AD
Monitors up to 4 redundant systems
Better signal selection
3/6/2015 | 52
Data Analytics and Development
3/6/2015 | 53
 Data Analytics (Examples)
>
>
>
>
>
Baselining – alarms and thresholds
Oscillations identification and classification
Event analysis
Frequency response & renewables’ impact
Data quality analysis
 Custom / Sponsored Development
> EPG develops applications based on customer requirements either on a
‒ Time and Material OR
‒ Partial sponsorship for licensed product at a discount (e.g. PhasorNXT with Duke, ERCOT, …)
 Training
3/6/2015 | 54
Phasor Data Concentrators
Data
Flow
Simulation
Training
Analytics
Data Validation & Conditioning
Data Gateway
Security
EPG
Phasor
Technology
Solutions
Real
Time
Grid
Apps
Off Line Analytics
Active Directory
System
Integration
Storage
PI, eDNA
Adapters
3/6/2015 | 55
Electric Power Group (EPG)
201 S. Lake Ave. Suite 400,
Pasadena, CA 91101
(626) 685 2015
|
3/6/2015 | 57
Sharing &
Security
Monitoring,
Awareness
Training
Data
Real
Time
Systems
Enterprise
Integration
Analytics
DNP3, ICCP, PI
Engg., Power
Systems, Events,
Mining
|
 P/S Registry  ePDG
3/6/2015 | 59
Project Module
Functional Area
Data Exchange
•
•
Inbound and outbound communication with external phasor data
sources and receivers
Real Time Data in C37.118 Standard
Security
•
Provide isolation between internal SCE network and external data
sources/ recipients
Communications
•
•
•
•
Direct subscriber streams to specific network addresses
Multicast to multiple addresses simultaneously
Manage asynchronous communication
TCP, UDP, TCP/UDP (Including command etc.)
WECC – SCE Gateway
(Future)
•
Exchange data as per WECC gateway format (non C37.118, non –
standard)
Point-point selection
To be implemented using WECC provided C++ wrapper
•
•
3/6/2015 | 60
SDG
E
3/6/2015 | 61
 Data owner publishes data streams available for sharing by 3rd party
subscribers
> Permissions, Selections, Data streams are configured for specific subscribers or
permission levels
 Subscribers are assigned or may request subscription credentials
 Subscribers log-in and see available streams/signals
> Select
> Request modifications
> Subscribe
 Publisher
> Auto allow based on assigned permissions/privilages
> Manual approval
> Stop/Start/Change/Revoke
3/6/2015 | 62
Requestor
Login
Requestor
Authent’n
and Auth
Requestor
specific signal list
(Selection menu)
Registry DB
Subscriber
connects to
pick up
Notification to
requestor with
Subscrip’n
details
ePD
G
ePD
C
Signal
subscription
request
Auto Grant
Subscription
Or Manual
Stream config
generator
Publish Stream
3/6/2015 | 63
Relational Database Archivers for ePDC & RTDMS
3/6/2015 | 64
 Relational Database Technology specially designed for high speed, high
volume storage and retrieval
 Full resolution storage
 Time Based Partitions.
 No DELETE statements
 PhasorArchiver for ePDC
> Raw data archival with flags
 PhasorArchiver for RTDMS
>
>
>
>
Calculated values
Data Quality flags
Second Average, Sub Second Data
Real Time DB
 Data Retrieval and Export Utility
3/6/2015 | 65

EPG Products Brief for JSIS 03-05-15

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