Spatial Information - Enabler for Smart Grid

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© 2012 Infotech Enterprises. All Rights Reserved We deliver Global Engineering Solutions. Efficie June 27, 2022 Spatial Information - Enabler for Smart Grid Smart Data Services for the Smart Grid

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Spatial Information - Enabler for Smart Grid. Smart Data Services for the Smart Grid. Agenda. Smart Grid Initiatives – Tsunami of Data Smart Grid landscape from IT perspective Spatial Information – as a enabler Recommended Approach Case Studies. Author Santosh Reddy P - PowerPoint PPT Presentation

Transcript of Spatial Information - Enabler for Smart Grid

Page 1: Spatial Information - Enabler for Smart Grid

© 2012 Infotech Enterprises. All Rights Reserved

We deliver Global Engineering Solutions. Efficiently.April 21, 2023

Spatial Information - Enabler for Smart Grid

Smart Data Services for the Smart Grid

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© 2012 Infotech Enterprises

Smart Grid Initiatives – Tsunami of Data

Smart Grid landscape from IT perspective

Spatial Information – as a enabler

Recommended Approach

Case Studies

Agenda

AuthorSantosh Reddy PAssistant General ManagerInfotech Enterprises [email protected]

Co-AuthorSunil KotagiriConsultantInfotech Enterprises [email protected]

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Smart Grid

• Saves energy, reduces cost, and increases reliability

• Minimizes carbon footprint and reduces emissions

• Increasing focus on renewables• Peak load management• Reduces outages, improving

efficiency• Reduction of aggregate technical

and commercial (AT&C) losses• Consumerizing energy technology

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Spatial Information – Smart Grid Enabler

Capital Expenditure: Smart-grid spending to hit about $200 billion by 2015

The potential of spatial information is unleashed

How do we leverage existing investments and reduce expenditures?

Smart Grid Market Growth 2009-2015

Source: Zpryme, GIA

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Smart Grid – Tsunami of Data

• Tsunami of data from various systems (smart meters, sensors…)

• Multiple independent systems

• Need to convert data into valuable information

• Establish single source of truth

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Spatial Information Foundation for Smart Grid

• Complete, positionally accurate, connected, consistent, up-to-date geospatial information

• Traditional way of looking at spatial information needs to change

InformationInformation

OperationsOperations

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Example – Completeness Issue

Incomplete information – assets, planimetric base, etc.

Street Network

Service Network

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Example – Positional Accuracy Issue

Accurate placement of asset features with respect to their field position

Cable Inside ROW Cable Outside ROW

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Example – Consistency Issue

Correct information across multiple systems – street address

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Example – Connectivity Issue

Topological property referring to the inter-relationships between geographical assets – graphical, logical

Wrong Connectivity - Industrial Consumers

Connected to S/S no.1394 Instead of S/S

no. 655

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Recommended Solution

Assessment

• Review ‘as-is’ State• Gap Analysis• Business Case• Road Map

• Review ‘as-is’ State• Gap Analysis• Business Case• Road Map

Transformation

• Workshops• Source Data Acquisition• Tools Configuration• Data Consolidation

• Workshops• Source Data Acquisition• Tools Configuration• Data Consolidation

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Case Study – Network Planning & Operations

An award winning EGIS project helped a utility to reduce design cycle times and improve meter-to-cash collections

• Helped reduce aggregate technical and commercial losses from 48.1% to 18.5% • Direct savings derived out of this project: $323,000 in the first year

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Case Study – Asset Management

Spatial data consolidation helped improve the asset management of a US-based Fortune 500 energy services company

• Centralized access to asset data resulting in increased productivity and reduced costs

• Estimated savings on a one call ticket management of $1,000,000 per year

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Case Study – Outage Management

Integration of GIS with OMS, DMS and mobile applications enabled a major power utility to:

• Deploy field crews faster • Reduce restoration after supply complaints

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Case Study – Demand Response

Developed a spatially enabled DR dashboard by integrating MDM, ERP and GIS systems for:

• Demand response monitoring• Load relief signals

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Conclusion

• Huge investments to realize Smart Grid

• Explosion of information that is predominantly geospatial

• GIS has evolved over the years

• GIS system has the potential to be an enabler

• Utilities need an interoperable, accurate and intelligent spatial database

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