Big Data in Smart Grid. Guangyi Liu China Electric Power Research Institute



Similar documents
System stability through cloud-enabled energy automation An essential building block for the digitalization of distribution networks

Best Practices for Creating Your Smart Grid Network Model. By John Dirkman, P.E.

White Paper. Convergence of Information and Operation Technologies (IT & OT) to Build a Successful Smart Grid

I. TODAY S UTILITY INFRASTRUCTURE vs. FUTURE USE CASES...1 II. MARKET & PLATFORM REQUIREMENTS...2

Agenda do Mini-Curso. Sérgio Yoshio Fujii. Ethan Boardman.

Smart Grid Demonstration Lessons & Opportunities to Turn Data into Value

Mobile Workforce Management (MWM) By Samant Nagpaul

Industry Data Model Solution for Smart Grid Data Management Challenges

Utilities the way we see it

Big Data Analytics Applications in Distribution Operations and Risk Assessment

Demand Response Management System Smart systems for Consumer engagement By Vikram Gandotra Siemens Smart Grid

Acting on the Deluge of Newly Created Automation Data:

GENe Software Suite. GENe-at-a-glance. GE Energy Digital Energy

Office of Electricity Delivery & Energy Reliability ANALYSIS AND REPORTING OF METRICS AND BENEFITS FOR ARRA SMART GRID PROJECTS

Network Digitalisation Enel Point of View

OUTAGE MANAGEMENT SYSTEMS What, How, Why. Steven E Collier Director, Smart Grid Strategies MILSOFT Utility Solutions

ADMS(Advanced Distribution Management System ) in Smart Grid

Solving Big Data Challenges US Electric Utility Industry

Project Management for Implementing the Smart Grid By Power System Engineering, Inc. Abstract PM Methodology Using a Repeatable Project Management

INTELLIGENT DISTRIBUTION NETWORK ANALYSIS AND INFORMATION ARCHITECTURE DESIGN

Utility Analytics, Challenges & Solutions. Session Three September 24, 2014

How To Integrate Firstenergy'S Integrated Grid

Investor day. November 17, Energy business Michel Crochon Executive Vice President

Naperville Smart Grid Initiative

Smart Metering for Automatic Demand Response

Getting Outage Management Systems Ready for Outage Events

DOE Wind Consortium Project. Wind Energy Research and Development. Jay Giri. IIT, Chicago July 20 th, Copyright ALSTOM Grid

The utility of the future

Next Generation Distribution Management Systems (DMS) and Distributed Energy Resource Management Systems (DERMS)

Building Customer Programs Through AMI and Effective Data Management

ABB smart grid Intelligent business

Enterprise Approach to OSIsoft PI System

Weather-readiness assessment model for Utilities. Shy Muralidharan Global Product Manager Energy Solutions Schneider Electric

DMS - Breakthrough Technology for the Smart Grid

Future of Electric Distribution Dialogue

emeter- MDM General Overwiew April 19 th, CEER Workshop on Meter Data Management Alicia Carrasco, Regulatory Director

Redefining MDM for a Smart Grid Enabled

Big data revolution Case LV Monitoring

Tender offer to acquire. June 1, 2011

Global outlook on the perspectives of technologies like Power Hub

Risk Management, Equipment Protection, Monitoring and Incidence Response, Policy/Planning, and Access/Audit

CenterPoint Energy Robert B. Frazier Director of Electric Technology

Schneider Electric DMS NS. Company Profile. Commercial Documentation

Implementing the Smart Grid: Enterprise Information Integration

Digital Metering: a key enabling factor to foster RES development

SMART ASSET MANAGEMENT MAXIMISE VALUE AND RELIABILITY

Pennsylvania Summer Reliability

Update On Smart Grid Cyber Security

Medium voltage products. Technical guide Smart grids

Advanced Data Management and Analytics for Automated Demand Response (ADR) based on NoSQL

ARRA Grant Case Studies SMUD s Smart Grid Program

Substation Automation and Smart Grid

Improving Distribution Reliability with Smart Fault Indicators and the PI System

Empowering intelligent utility networks with visibility and control

End Point Devices to be Deployed for Each. AC Independence

Grid IQ. Solutions as a Service. GE Energy Digital Energy. Why Solutions as a Service? Subscription based integrated Smart Grid solutions

AMI and DA Convergence: Enabling Energy Savings through Voltage Conservation

The Future of Grid Control: Smart Grid and Beyond John D. McDonald, P.E. Director Technical Strategy & Policy Development

Big Data: Using Smart Grid to Improve Operations and Reliability. LaMargo Sweezer-Fischer Power Delivery Grid Automation Manager FPL July 2014

Preparing for Distributed Energy Resources

The Smart Grid in 2010

San Diego Gas & Electric Company FERC Order 717 Transmission Function Employee Job Descriptions June 4, Electric Grid Operations

MarketsandMarkets. Publisher Sample

Jim Sheppard, Director of Business Processes CenterPoint Energy, Texas, USA

ADVANCED DISTRIBUTION MANAGEMENT SYSTEMS OFFICE OF ELECTRICITY DELIVERY & ENERGY RELIABILITY SMART GRID R&D

Scroll. An MDM (Metering Data Management) platform

Advanced Metering Information Systems

San Diego Gas & Electric Company FERC Order 717 Transmission Function Employee Job Descriptions August 10, Electric Grid Operations

BIG (SMART) DATA ANALYTICS IN ENERGY TRENDS AND BENEFITS

Case study: Real Time Decision Making with Smart Data Analytics. Thomas Doggett Co-founder & Chief Marketing Officer Calico Energy

Achieving high performance with smart meter data management systems. A leading practice approach for utilities

Seven-Year Electric Service Reliability Statistics Summary

AMI Data Management and Analysis

Transforming industries: energy and utilities. How the Internet of Things will transform the utilities industry

Smart Cities An Industry Perspective

-Alicia Ballesteros Smart energy sales manager INDRA. -Roberto Gómez Crespo Business Development Manager Southern Africa IBERDROLA Ing.

Active Smart Grid Analytics Maximizing Your Smart Grid Investment

How To Manage Assets In Utilities

Smarter Utilities. Transforming the Industry. Antonio Pires Santos IBM Corporation

& benefits. Indian context

ENERGY EFFICIENCY: A GROWING UTILITY-BUSINESS SOLUTION TO RELIABILITY, AFFORDABILITY, & SUSTAINABILITY

Vattenfall Eldistribution AB, Sweden Project AMR Automatic Meter Reading

Melding Big Data and CIM for Bold Power Systems Insights. Dr. Siri Varadan, PE UISOL, An Alstom Company

METER DATA MANAGEMENT LESSONS LEARNED LIFE AFTER GO LIVE Insight on Leveraging Integration While Preserving Technical Investment

Technical Advisory Committee on Distributed Generation and Storage Pat Egan - Senior Vice President, Customer Operations

APS Solar Partner Program

How the distribution management system (DMS) is becoming a core function of the Smart Grid

Transcription:

Big Data in Smart Grid Guangyi Liu China Electric Power Research Institute 1

Outline 一 二 Sources and Feature of Big Data in Smart Grid Use Scenarios of Big Data in Smart Grid 2

Sources of Big Data in Smart Grid Creating New Opportunities to Improve Business Performance Data Sources DMS EMS Work Mgmt Asset Mgmt Meter/Device CIS/CRM ERP ETRM Weather GIS/Spatial Other 800TB 600TB 400TB 200TB Expected Data Volume Growth of a Tier 1 IOU RTU Upgrade Mobile Data Goes Live Advanced Distribution Automation New Devices in the Home enabled by smart metering OMS Upgrade Mobile Workforce Project Time GIS Upgrade Substation Automation System End-User Data Requirements PCT s Come On line AMI Deployment Distribution Management Rollout Source: Electric Power Research Institute RTU: remote terminal unit PCT - Programmable Communicating Thermostat

Whole Picture of Big Data in Smart Grid All data from multi sources describe a whole picture for the smart grid, need smart grid unified data model.

Smart Grid Unified Data Model Volume of Data Operational Systems Seconds Minutes Hours Days Months Business Systems Years Movement Relational Analysis in the control c room Decision Support in the officeo ffices Real Time Network Management EMS GMS SCADA DMS Non Real Time Information Systems Unified Data Model Data with various resolutions maintained for on-line access for several years ERP AMS BMS CIS

Challenges of Smart Grid Big Data Availability of Data is Increasing Example: From 1 Meter Read/mo to Hourly (720/mo) =71,900% increase Data Sources Not Fully Utilized Data from Disparate Sources Not Integrated Combining Data into Information & Beneficial Applications? What Information is Actionable? (vs. just interesting) How to organize these data? Management of the Grid = Management of Data 6

Outline 一 二 Sources and Feature of Big Data in Smart Grid Use Scenarios of Big Data in Smart Grid 7

Impacts of Big Data on Smart Grid Connected Customers, Connected Networks, Connected Assets New Sensors / Distributed Computing on Transmission and Distribution Lines alert operators, fix problems, integrate large-scale renewables generation Smart Meters and Home Networks help customers use energy wisely, mitigate peak demand, integrate local renewables

Use Scenarios of Smart Grid Big Data ADN Situational Awareness Active Service Active Control Active Management Active Planning Active Participation Active Adaption 9

Use Case of Big Data in Smart Grid Situational Awareness Geospatial and visual analytics that offer a centralized view of multiple technologies Using AMI and Sensor Data for Distribution State Estimation (DSE) Active Management Outage restoration analytics Using AMI Data to Find Transformer Voltage Problems Revenue protection (including theft and nontechnical loss analytics) Active Control Grid optimization and power quality (including voltage control and conservation) Renewable energy and storage analytics and optimal control Home signature and thermostat control analytics Active Service Peak load management (via demand side management analytics) and energy portfolio management analytics Consumer behavioral analytics (including comparison to neighbors/peers) Time of use pricing analytics Service quality analytics Active Planning Customer planning: Voltage analysis Long term load and renewable energy forecast

Situational Awareness: Network Data Analytics & Visualization

Situational Awareness: Using AMI and Sensor Data for Distribution State Estimation (DSE)

Active Management: Using AMI Data to Find Transformer Voltage Problems

Active Management: Using AMI Data to Auto- Generate Secondary Circuit Models

Active Control: Fault Location

Active Control: Using AMI Data to Detect Stressed Assets and Control

Active Service: Demand response: Non-operational Peak Rewards (PR) device analysis

Active Planning: Customer planning: Voltage analysis

Conclusion The sources and features of big data in smart grid are discussed The impact big data on smart grid and the unified data model are given The common use scenarios of big data in smart grid are identified The application of big data in smart grid is just the beginning, but there is a great future 19

Thanks! 20