TOWARDS a FEDERATIVE POLYGLOT ARCHITECTURE FOR MANAGING SMART GRID DATA

Introduction: Data Management Challenge in Smart Grid 3 6 • Taking long time to perform a data analysis • Mismatch between the database model and the programming model • Difficult to m

TOWARDS A FEDERATIVE POLYGLOT ARCHITECTURE FOR MANAGING SMART GRID DATA

Supervisor: Professor Christine Collet

Professor Christophe Bobineau Professor Binh Minh Nguyen Postdoctoral Researcher Houssem Chihoub

Performed at: Grenoble Computer Science Laboratory (LIG)

HADAS Team

Presented by: NHU QUYNH NGUYEN

20112648 – SIC PFIEV 56

1

I Introduction: What is the Smart Grid?

Many Definitions – But One VISION

I Introduction: Data Management Challenge in

I Introduction: Data Management Challenge in

Smart Grid (2)

• Five separate classes of smart grid data, each with

its own unique characteristics

5

I Introduction: Data Management Challenge in

Smart Grid (3)

6

• Taking long time to perform a data analysis

• Mismatch between the database model and the

programming model

• Difficult to modify a relational schema

• Increasing the amount of data

II Polyglot Solution: Concept

II Polyglot Solution: Architecture of proposed system

8

II Polyglot Solution: Data layer (1)

Meter

Data

Weather Data GeographicData

9

II Polyglot Solution: Data layer (2)

 Why using PostgreSQL for Client data?

• Client data stores contact details of customers

such as first name, last name, address

• Client data requires concurrency control

strategies, data uniqueness, data security and

read-only access

• A relational database provides more control and

guarantees over data

• PostgreSQL is powerful, a open source

object-relational database system

• PostgreSQL supports CSV file, more reliability,

can run in Linux, BSD, Windows…

10

II Polyglot Solution: Data layer (3)

 Why using Cassandra for Meter data

• Meter data stores measurements of customers

are recorded by smart meters, time series data

• Data arrives from many locations, requires read

and write scalability

• Cassandra is an excellent fit for handling data in

sequence regardless of datatype or size

• Cassandra is highly performant with tables

that have thousands of columns

11

II Polyglot Solution: Data layer (4)

 Why using MongoDB for Weather and Geographic data

• Geographic data: stores location of smart meters,

geospatial queries, simple model

• Weather data: stores weather conditions such as wind

speed, dry bulb temperature…

• MongoDB: provides scale-out capabilities along with

smoother and faster data access

III Architecture Implementation: Technologies

comprehensive infrastructure support for developing Java

applications

comprehension tool based on the concept of a project object model (POM)

based web services and uses HTTP Protocol for data

communication.

13

III Architecture Implementation: Data layer (1)

 Client data modeling and loading

14

III Architecture Implementation: Data layer (2)

 Configuration PostgreSQL

15

Architecture Implementation: Data layer (3)

 Meter data modeling and loading

16

III Architecture Implementation: Data layer (4)

 Configuration Cassandra

17

III Architecture Implementation: Data layer (5)

 Geographic and Weather data modeling and

loading

18

III Architecture Implementation: Data layer (6)

 Configuring MongoDB

19

III Architecture Implementation: Benchmarking

Queries (1)

 Query 1: Search highest electricity consuming

measured by smart meter of client that have

registered a specific address in the city of Lyon

20

III Architecture Implementation: Benchmarking

Queries (2)

21

 Query 2: Calculate the total amount of electricity

consumption by clients in Lyon at minimum

temperature below than an input temperature

III Architecture Implementation: Benchmarking

Queries (3)

22

 Query 3: Calculate the electric bill using during one month of electricity consumption based on a specific meter ID of client

IV Conclusion and Future work

23

and storage data with high-performance – Polyglot

solution

model simulation for Smart Grid management system

24