Overview of EPRI Data Analytics for Transmission ... · PDF fileShanshan Liu, Country Manager...

transcript

Shanshan Liu, Country Manager China

Electric Power Research Institute

September 23rd, 2014

CICED 2014, Shenzhen, China

Overview of EPRI Data Analytics for

Transmission & Distribution Systems

- Foundations for Successful Power System Analytics

Enabled by Technology and Smart Grid Sensors

Together…Shaping the Future of Electricity

EPRI’s Mission

To conduct research,

development and

demonstration on

key issues facing the

electricity sector on

behalf of our

members, energy

stakeholders, and

society

Born in a Blackout

Founded in 1972 as an independent, non-profit center for

public interest energy and environmental research

New York City, The Great Northeast Blackout, 1965

Three Key Aspects of EPRI

Independent

Objective, scientifically based

results address reliability,

efficiency, affordability, health,

safety and the environment

Nonprofit

Chartered to serve the public

benefit

Collaborative

Bring together scientists,

engineers, academic

researchers, industry experts

Independent

Collaborative

Nonprofit

Our Members…

• 450+ participants in more than 30

countries

• EPRI members generate

approximately 90% of the electricity

in the United States

• International funding of nearly 25%

of EPRI’s research, development

and demonstrations

Electric Power Research Institute

Modernizing the Grid with Analytics – Taking

Advantage of and Managing Data Resources

A 2030 Utility Will Be Distinguished by How It Uses

Information

Convergence of Electricity, Communications, Information and the Customer

Modernization

Communication

& Standards

Integrated

Planning & Ops

Informed Policy

& Regulation

Integrating Information and Technology to

Achieve T&D Grid Modernization

Leveraging Information from Traditionally Disparate Data Resources

Transmission

Sensors

Distribution

Sensors

Weather and

Public Data Social Media

Why is Data Analytics (Big Data) Strategic for

the Industry?

• Common Goals:

– Quantify value of data, applications & Infrastructure

– Uncover new innovative uses, algorithms & insights

– Combine disparate data sets (internal & external) for more

– Industry engagement (worldwide) – vendors – universities etc.

– Encourage non-proprietary solutions, interfaces, standards

Sense Communicate Compute Control

Industry Challenges

• Value – Is the knowledge (truly valuable? or is it just interesting?)

• Incentive – Measuring direct value from data analytics is subjective

• Change Management – The “old way” works – why change?

• Vendors – Value uncertainty - Which BI solutions are the right

• Data as an Asset – Data is generally not considered a key asset

• Data Scientists – Cross departmental (team level) subject matter

expertise is not easy to find or implement

Data: The Most Valuable Asset That an Electric Service Provider Owns

EPRI’s Role

Stimulate innovation and help accelerate technology to commercial development

EPRI’s Distribution & Transmission

Demonstrations on “Data Analytics”

Key drivers:

• Understand

• Collaborate

• Develop

• Demonstrate

• Accelerate

Objectives::

• High value low

cost applications

• Better analytic

techniques and

processes

Strategic 5-Year Initiatives to Accelerate Data Analytics Value for Electric Utility Industry

TMD-DMD – Moving the Needle

• Advancing technology readiness

• Validating the functionality of

proposed technologies

• Connecting through integration

and improving data quality

• Expanding the scale of

technology deployments

• Assessing the value proposition

for technologies

Widespread Progress through Collaborative Demonstrations

Demonstration Approach

• Project Initiation - Identify the Application Options

• Select a Specific Demo

• Create the Demo Plan – Immersion

– Research and Scope

• Executing the Demo – Identify Roadblocks, mitigate and resolve

– Data Integration, Architecture, Quality

– Observe Collaborator’s Demos

– ……

• Assessing the Demo – Quantify cost and value

• Rapid implementation of collaborator’s Applications – Understand their value

Cost - Benefit

Execution

Research

Selection

Project

Initiation

Functional Area of Demonstrations

System

Operation &

Planning

Management

Information and

Communication

Technology

Supporting Information and Communications Technology

High Level Emerging Themes

Transmission

• System Health

• Asset Health

Distribution

• Storm & Outage Management

• Advanced Metering

• System Ops & Engineering

Information & Communication

• Cross-Business Data Sharing

• Enterprise Information Management

• Skills Gap

Wide-area Situational Awareness & Actions

– RT Power system visualization

– Online event detection and replay

– Early warning of potential angular instability

Predictive Tools for Forecasting Weather Impact

Post Event Analysis

Emerging Technologies

Smart Tags

Wearable

Technology

Visualization

Prioritized Data-Oriented Applications

Year One Update Available

• Project Overview

– Update & Activities in 2014

• 6 Key Deliverables Highlighted

– Description & Key Take-Away

– Helping you Apply Results

• Data Analytics Priorities from 14 Utility Members

– Transmission Applications

– Distribution Applications

– Enabling ICT Infrastructure

• Product ID: 3002003997

In summary…

• Challenge for the electricity industry:

– getting more value from their data resources

• Emerging applications and technologies are being

developed:

– value proposition to be demonstrated

• EPRI collaborative model designed to address the issue

• Some exceptional collaborative results through unique and

non-duplicative efforts:

– results so far reveal potential

Overview of EPRI Data Analytics for Transmission ... · PDF fileShanshan Liu, Country Manager...

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