CIGRE 2017- Grid Of The Future

Huiying Huang, Xiaolan Zou

October 24, 20171

Implementation of Data-driven Visualizations

• Background:• Big data from power systems: digital relays, meters, equipment monitors,

communication systems, AMI, and many more across hundreds of substations and thousands of circuits

• New IT platforms are bringing new approaches to gather and view data• Implementation of new data-driven visualizations is necessary to manage this data

and monitor assets• Goal of the project

• Create data visualizations with new software applications that:• Display real-time grid data• Analyze historical grid data

Overview of Big Data in Power Systems

October 24, 20172

Overview of PI Data Historian

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A new data historian for all transmission and distribution grid data

Operation Centers

SOC/ROC

PI Data Historian

Devices

• Relays and Meters• Asset monitors for

transformers, circuit breakers, etc.

Applications

• One-Line diagrams

• Equipment dashboards

PI Application: Substation One-line Diagrams

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Automatic creation of one-line diagrams in PI

• Tools used to develop new visualizations• PI Data Historian:

• PI CoreSight: a website that delivers data to the users from PI• PI ProcessBook: a tool to display data in a graphical manner• PI Web API: an interface that gives client applications read and write access to PI

• CIMSpy:• Designed to provide data integration with power system models

• Web tools• Vue.js: An open-source JavaScript framework for building user interfaces

Project Implementation Details

October 24, 20175

Implementation of PI One-line Diagrams

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Data Link

One-line Diagram

s

CIMSpy

Website

PI CoreSight

PI Data Model

Substation One-line Diagrams in PI CoreSight

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• Clear layout without bending and overlapping

• Easy Adjustment• Flowing real-time data can

be displayed in the one-line diagram

• Benefits: • Unifies models and

graphics• Reduces human effort • Makes data access

easier

Substation One-line Diagrams in PI CoreSight

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Data Link

Example of Trended Measurements

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• There are thousands of electrical equipment devices across Dominion’s footprint

• Each piece of equipment has measurements (10s to 100s) in PI to monitor the assets

• New PI tools are being developed to help manage these assets and their data

The Challenge of Asset Management

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• Implemented a visualization tool to manage a massive quantity of data from 200+ DFRs (Digital Fault Recorders)

• Benefits realized from the dashboard

• Easily see the real-time status of all the DFRs

• Quickly identify and troubleshoot problems, both at the device level and the data level

Success with a DFR Dashboard

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• Tools used to develop new visualizations• PI Data Historian:

• PI CoreSight: a website that delivers data to the users from PI• PI ProcessBook: a tool to display data in a graphical manner• PI Web API: an interface that gives client applications read and write access to PI

• CIMSpy: • Designed to provide data integration with power system models

• Web tools• Vue.js: An open-source JavaScript framework for building user interfaces

Project Implementation Details

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PI Application: Equipment Dashboards• Created a PI Dashboard platform to be used

for any type of equipment on our electric grid, such as:

• Capacitor/Reactor Banks• Transformers• Circuit Breakers

• Created a new approach to generate dashboards automatically, utilizing PI, JavaScript, and HTML5

• Reduced effort to build and maintain• Easy to modify or add new equipment• Many configuration/visual options available

October 24, 2017B13

Reactor Banks Dashboard

14

Reactor Banks Dashboard

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Capacitor Banks Dashboard

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Capacitor Banks Dashboard

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Transformers Dashboard

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Transformers Dashboard

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• Unified models and graphics• Extended the user group• Provided easier data access • Achieved retrieving and displaying real-time and historical data • Reduced engineering time and cost • Help reduce human errors • Improved grid reliability, system efficiency and safe utilization of

critical equipment

Outcome of Project

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Thank you. Questions?

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