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

#GridInterop

Bert [email protected] Corporationwww.versant.com

Rolf [email protected] Alliance

http://www.openadr.org/

Grid-Interop 2012

Agenda

• Problem Statement• OpenADR and NoSQL Background• OpenADR Roles and Data Sources• OpenADR Roles and Data Sources• Data Sources and Data Access• NoSQL Demand Response Automation

Grid-Interop 2012

Problem Statement

• Demand Response (DR) programs represent a very efficient way to cope with rising energy needs

However, DR is more effective if at least partially automated A large amount of data must be processed to effectively

control DR• Transport, storage, and access of data is a key element of the Smart Grid and • Transport, storage, and access of data is a key element of the Smart Grid and

becomes even more critical for real-time systems.

VTN executesGrid DR Strategy

VEN executesResource Strategy

Tariffs

G&T status

Renewables

Weather

Price

OpenADR 2.0 Link

Resources

Locations

Load Control

Comfort

Reports

Grid-Interop 2012

OpenADR

Open Automated Demand Response (OpenADR) provides a non-proprietary, open standardized DR interface that allows electricity providers to allows electricity providers to communicate DR signals directly to existing customers using a common language and existing communications such as the Internet.

Grid-Interop 2012

OpenADR Roles and Data Sources

Entities –VTN – Virtual Top NodeVEN – Virtual End Node

1. Utility or ISO2. Aggregator3. End User3. End User

- Great number of data sources- Large amount of data- Significant analysis

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Energy Data ChallengesEnergy Data Challenges

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Energy Data Diversity Challenge

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Energy Data Integration Challenge

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Interoperability Challenge

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OpenADR Scenarios andOpenADR Scenarios andBig Data Challenges

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OpenADR Power Producer & ISO/RTO

Power Generation

Pricing

ISO/RTO Behavior

(Energy Demand)

Power Transmission

Control(ISO/RTO)

Power Transmission

(Power consumed by ISO/RTO)

P (t)* *E (t)

P(t) E(t)

Energy provided by Power ProducerAutomated Demand Response in Energy Wholesale Process (Open ADR between Power Producer and ISO/RTO)

Power Metering

+ +- -

Real-Time Energy Pricing Analytics

(Power Producer)

Big Data Challenges in ADR Wholesale – PP & ISO

P – Energy PriceE – Energy Consumed

Actual Price Calculation(based on Energy consumed)

Real-Time Energy Demand Analytics

(ISO/RTO)

Grid-Interop 2012

OpenADR ISO/RTO & Utility

Power Transmission

Pricing(ISO/RTO)

Utility Behavior(Energy Demand)

Power Distribution

Control(Utility)

Power Distribution

(Power consumed by Utility)

P (t)* *E (t)

P(t) E(t)

Energy provided by ISO/RTOAutomated Demand Response in Energy Wholesale Process (Open ADR between Power Transmission (ISO/RTO) and Utility

Power Metering

+ +- -




(ISO/RTO)

Big Data Challenges in ADR Wholesale – ISO & Utility


(Utility)

Grid-Interop 2012

OpenADR Utility & Consumer

Power Distribution

Pricing(Utility)

Consumer Behavior

(Energy Demand)

Load Control(Consumer)

Load(Residential, Commercial,

Industrial)+ -

P (t)* *E (t)

P(t) E(t)

Energy provided by UtilityAutomated Demand Response in Energy Retail Process (Open ADR between Utility and Consumer)

Power Metering

+ -




(Utility)

Big Data Challenges in ADR Retail – Utility & Consumer


(Consumer)

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Meter Data Analytics – Data Volume

Source: Presentation by AutoGrid

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OpenADR Scenarios andOpenADR Scenarios andNoSQL Big Data Solution

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Big Data Solution Framework (IDSM/ADR)

Utility Backend Information System

CIS

GIS

Versant’s NoSQL Based Open ADR Real-Time

Big Data Solution

DR Program Design

DR Event Management

DR Load Forecasting

DR Program Optimization

Versant’s Object-Based, Real-Time Big Data Management & Analytics Solution

Development Framework

NoSQL Based Real-Time Data Ingestion

NoSQL Based Real-Time Data Management

MDMS

OpenADRServer

Management

DR Data Management

DR Data Analytics

Forecasting

DR Custom. Management

DR Data Visualization

NoSQL Based Real-Time Data Visualization

NoSQL Based Real-Time Data Analytics

NoSQL Based Real-Time Data Output

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OpenADR Load Analysis & Forecasting

Grid Load and EnvironmentUtility Backend Information System (Control Center)

Smart Meters

Load Environment

Commercial Infrastructure Load

Smart Meters

Load Environment

Industrial InfrastructureLoad

OpenADR Server

GISVersant

GISInterface

VersantOpenADRInterface

Versant Big Data Solution

Load Analysis

Load Modeling

AMI Communication Infrastructure

OpenADR CommunicationInfrastructure

Environmental Information Communication Infrastructure

Load

Smart Meters

Load Environment

Residential InfrastructureLoad

AMI Head-End

System MDMS

Utility Communication Infrastructure

VersantMDMS

Interface

Load Simulation

Load Forecasting

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Big Data Solution – Versant Linked NoSQL

JPA 2.0 compliant

JBoss application server compliant

Zero application downtime

(for schema modifications)

Foundation for real-time

analytics with very large data

sets

Use of existing Programming

skills

Seamless integration with

Hadoop, R, Graph Analytics

Grid-Interop 2012

Conclusion

Automated Demand Response requires Big Data Management & Analytics

Standardized Interfaces, Object Data Models &

Processes

Connectivity & Interoperability for

OpenADR solutions based on Object Data Models &

NoSQL Architecture

Reduced time-to-market for standardized OpenADR solutions using Object

Model Big Data Architecture

Integrated Big Data Management and Analytics in Real Time for OpenADR

Substantially reduced total cost of ownership through

NoSQL Big Data Management and Analytics

for Open ADR Solutions

Grid-Interop 2012

Thank You!

Questions?

Grid-Interop 2012

advanced data management and analytics for … · advanced data management and analytics for...

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