IEEE Presentation SDG&E

IEEE San Diego Power & Energy And Power Electronics Societies Joint Presentation

SDG&E Applications of PMUs – Handling of Big Data with PMU Applications

IEEE San Diego Power & Energy And Power Electronics Societies Joint Presentation

Bert Taube, Ph.D. Principal Consultant

DNV GL

December 3rd, 2014

Advanced Utility Analytics with Object-Oriented Database Technology

3

IEEE San Diego - Power & Energy and Power Electronics Societies

Overview

• Uniqueness of Utility Big Data Context and critical Use Cases requiring Advanced Data Management and Analytics Technologies

• Data Modelling Capabilities necessary for Advanced Utility Data Management and Analytics

• Integrated NoSQL Data Management & Analytics Solution Development Framework for Utilities/ISOs

• Total Cost of Ownership (TCO) and Performance: NoSQL vs. MySQL

• Examples of effective Performance of NoSQL Data Management & Analytics Solutions for Utilities/ISOs

• PMU Data Analytics: NoSQL-Based Big Data Solutions to create Wide-Area, Real-Time Situational Awareness

• PMU Data Analytics: NoSQL-Based Real-Time Simulation driven by PMU Data to recognize and avoid Wide-Area Blackouts

4


Uniqueness of Big Utility Data

Context and Critical Use Cases

describing the Need for

Advanced Utility Data

Management and Analytics

5


Utility Big Data Management & Analytics Data Diversity Challenge

6


Utility Big Data Management & Analytics Network Data Analytics Use Cases

7


Utility Big Data Management & Analytics The Solution Development & Deployment Process

PMU

AMI

RTU

Data Science

(DNV GL)

Solution Development & Deployment

(DNV GL & Technology Partner)

Power Delivery

Infrastructure

Systems

(internal)

Systems

(external)

Data

Discovery

Discover Develop

Discovery

Platform

Discovery

Report

(Discovered

Use Cases)

Offline

Analytics

Develop.

Develop.

Platform

Data

Analytics

(Developed

Algorithms)

Offline

Solution

Develop.

Develop.

Platform

Analytics

Solution

(Developed

Software)

Offline

Develop Deploy

Solution

Deploym.

Deploym.

Platform

Deployed

Solution

(Deployed

Software)

Online

8


Utility Big Data Management & Analytics Business Models

Business Model 1: Software as a Product (SaaP)

Data Science

(DNV GL) Software Development & Deployment

(DNV GL & Software Technology Partner)

Data Discovery Analytics

Development

Software Solution

Development

Software Solution

Deployment

Customer buys Software Product from DNV GL (Operation on Premise or in Cloud).

Customer owns, operates and maintains it. DNV GL may support operation & maintenance.

Business Model 2: Software as a Service (SaaS)

Data Science

(DNV GL) Software Development & Deployment

(DNV GL & Software Technology Partner)

Data Discovery Analytics

Development

Software Solution

Development

Software Solution

Deployment

Customer buys Result from running Software Product from DNV GL (Operation in Cloud or on

Premise). DNV GL owns, operates and maintains it.

9


Integrated NoSQL Data

Management & Analytics

Solution Development

Framework for Utilities/ISOs

10


Utility Big Data Management & Analytics Fundamental Dilemma of Database Software

11


Utility Big Data Management & Analytics NoSQL-Based Data Solution Development Framework

12


Utility Big Data Management & Analytics NoSQL-Based Data Solution Development Framework

13


Utility Big Data Management & Analytics NoSQL-Based Data Integration

Utilities need Object Database Solutions to accommodate Variety of

Data Models for effective Utility Data Analytics!

14


Utility Big Data Management & Analytics NoSQL-Based Data Visualization and Analytics

15


Integrated NoSQL-Based Utility Big Data Solution Development Framework - Benefits

16


Total Cost of Ownership and

Performance:

NoSQL vs. MySQL

17


Total Cost of Ownership & Performance: NoSQL vs. MySQL

18



19



20


21


NoSQL-Based Big Data Solutions - Examples for Technology Adoption by Industries

22


NoSQL-Based Big Data Solutions - Examples for Technology Adoption by ISOs

23


PMU Data Analytics:

NoSQL-Based Big Data Solutions

to create Real-Time, Wide-Area

Situational Awareness

in Power Transmission

24


Grid Analytics – PMU Data Challenge

25


Grid Analytics – PMU Data Analytics

Wide Area Grid Measurements

(Power Transmission) ISO Backend Information System (Control Center)

PMU/Synchrophasor

Communication

Infrastructure

PMU 1

PMU

Head-

End

System

PDMS

GIS

ISO/Utility Communication Infrastructure

NoSQL

GIS

Interface

NoSQL

PDMS

Interface

NoSQL Big Data

Solution

Phase Angular

Analysis

Damping Factor

Analysis

Frequency

Analysis

Power Quality

Analysis

PMU 1000

…

Environmental Information

Communication Infrastructure

26


PMU Data Analytics:

A NoSQL-Based Real-Time

Simulation driven by PMU Data

enabling Wide-Area Situational

Awareness to recognize and

avoid Blackouts

27


Need for Real-Time, Wide Area Situational Awareness driven by PMU Data – The 2003 Blackout Example

28


Need for Real-Time, Wide Area Situational Awareness driven by PMU Data – The 2003 Blackout Example

29


Need for Real-Time, Wide Area Situational Awareness driven by PMU Data – Change in Power Flow/Angular Δ

Changes in Direction of Power Flow during the Course of Blackout Events correlated with

severe Changes in Phase Angular Differences between Locations involved!

30


Need for Real-Time, Wide Area Situational Awareness driven by PMU Data – Effective Analytic Approach

31


Wide-Area Real-Time PMU Analytics Demo – More than 1 Hour prior to 2003 Blackout

32


Wide-Area Real-Time PMU Analytics Demo – More than 35 Minutes prior to 2003 Blackout

33



34


Wide-Area Real-Time PMU Analytics Demo – About 5 Minutes prior to 2003 Blackout

35



36


Need for Real-Time, Wide Area Situational Awareness driven by PMU Data – Real-Time PMU Analytics Demo

37



38



39


Thank You!

IEEE Presentation SDG&E

Documents

Transcript of IEEE Presentation SDG&E