Role of Geographic Planning in Smart Grid Deployment Abhinav Dehariya – Senior Consultant, Infosys Jafrullah Mohammed – Senior Technical Architect, Infosys

Grapevine, Texas April 10 - 13, 2011

Agenda • Smart Grid Deployment – A Snapshot • Key Smart Grid Application Areas from a Geospatial Perspective • Role of GIS in Smart Gird Deployment • A Few Examples • Summary

Smart Grid Deployment – A Snapshot Fault Anticipation

Value Realization

Dynamic Pricing

Full Load Participation

Smart Grid Vision2030

Network Optimization

Micro-grids

Integrated OMS HAN / IHD

Distribution Automation

Smart Meters & AMI Intelligent Devices

Energy Storage

Demand Response Distributed Generation,PHEV

Decentralized Control & Intelligence

Smart Appliances

Cyber & Grid Security

Phase-1: 2009-2012 (Infrastructure)

Phase-2: 2009-2019 (Instrumentation & Grid Automation)

Phase-3: 2012-2021 (Grid Intelligence & Customer Enablement)

Phase-4: 2020-2030 (Intuitive Grids & Participatory Networks)

Implementation Source:  Infosys  Analysis;;  DOE’s  Grid  2030  Vision  Document;;  California  Smart  Grid  Policy  Timeline;;  NIST’s  roadmap  for  Smart  Grid Interoperability

Key Application Areas in a Smart Grid from a Geospatial Perspective

Indicates areas where GIS / Spatial intelligence can be leveraged

Note: GIS could also be leveraged in the remaining areas as well, though not much market information or published literature is available currently.

Role of GIS in Smart Grid Deployment Key Areas

• Smart Meters / AMI Rollout Planning • Installation of Communications Infrastructure • Installation of IEDs • Rollout/Monitoring of Demand Response Programs • Integration of Distributed Generation

Others • Deployment Progress Tracking and Reporting (internal + external)

• Spatial Business Intelligence & Analytics

Deployment Tracking/Reporting†

Spatial BI / Analytics†

• Customer Education Program Planning * Primary Role, †Supporting Role

Example1: Leveraging Geographic Planning for Smart Meter/AMI Roll-out •

Locations where to install smart meters can be identified and mapped within a service area

•

The Service Area can be divided into several smart meter zones (depending on parameters such as communication technology, location of meters, performance requirements)

•

The optimum location for placing a meter collection unit can be obtained through spatial analysis. The optimum location of repeaters or signal boosters can also be determined.

•

Specific rules can be defined for constraints such as tall buildings, noentry zones, remote areas etc.

•

Can be interfaced with EAM, WMS and CIS for an integrated workflow

Illustration of Typical AMI Communication Network

Image Source: PowerGrid International Magazine

Example2: Leveraging Geographic Planning for Demand Response Programs •

Locations of customers (R / I /C) signed up for DR programs can be mapped on the network displaying attributes such as KWh commitment, total load, peak/off-peak usage times etc.

•

Demographic datasets can be leveraged for customer marketing/education campaigns (e.g. done by retail companies!)

•

Information such as Energy Efficiency of buildings (large commercial / residential customers) can be mapped along with load information etc.

•

Access DR contract information through GIS integration with CIS and EDMS etc.

•

Demand response analysis - Spatial analysis for customer type, criticality of interruption, financial impact, energy saving, interruption duration etc.

Image Source: www.greentechmedia.com

Example3: Leveraging Geographic Analysis for Grid Operations Optimization

Operational Parameters

Figure Source: Electric Power Institute 2008

Example3: Leveraging Geographic Analysis for Grid Operations Optimization (contd.) Geospatial Visualisation Spatial Business Intelligence

Critical for new generation of workers!

Multi-layered Situational Awareness

Grid Operations

Transmission Management

Emergency Management

Summary • Geographic planning / geospatial intelligence can help in the deployment of the multiple Smart Grid initiatives such as • Smart meters / AMI rollout

• Demand Response initiatives • Grid Optimization

• Utilizing geographic planning / geospatial intelligence can help utilities in increasing speed and quality of the Smart Grid deployment process, and beyond.

Thank you Abhinav Dehariya is a Senior Consultant with Infosys. He specializes in GIS-enabled business process analysis and transformation for Energy & Utilities clients.

Jafrullah Mohammed is a Senior Technical Architect with Infosys. He specializes in GIS solution design, architecture and implementation for Energy and Utility clients.

Contact us at Abhinav: [email protected]

(M: +91-91600-16990)

Jafrullah: [email protected]

(M: +91-91600-02375)