Thomas Bialek, PhD PE Chief Engineer – Smart Grid
San Diego Gas & Electric
Data Management and Analytics for Utilities
Defining a Technology Strategy
• Where we have come from
• Where we are going
– Establishing interoperability and the future architecture vision of data and analytics
– System Integration: Finding ways to correlate data and optimize data feeds to run analytics and improve operational efficiencies
– Choosing a standard data format for your company for moving data, dealing with legacy systems and deciding between one database and many
– What issues have utilities faced in implementing available technologies? Why existing analysis tools are often inadequate
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Historical
• System planning driven by the one peak hour of the year
• Electro-mechanical meter
– Hourly consumption
• Siloed operation
– Minimal data sharing
– Customized solutions
• Proprietary solutions
– Vendor lock-in
• Analysis paralysis
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Roadmap to the Future
• Probablistic system planning for every hour of the year
• Digital meter
– 15 minutes C&I, Hourly residential
– Power off notifications
– Voltage reads
• Breaking down siloes – Data shared across organizations
– Single source of the truth
– Common language
• Standards based enterprise solutions
– Open interfaces
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Smart Grid Roadmap
Deployment Roadmap | San Diego Gas & Electric
Electric Vehicle Growth
Security
Renewable Growth
Customer Empowerment
SMART
GRID
Integrated & Cross Cutting
Systems
Smart Grid RD&D
Reliability & Safety
Operational Efficiency
Workforce Development
Are we done yet?
Customer Empowerment
Smart Meters – Data Volume
• Previously, over 350 million data points (consumption reads) were taken annually from manually read analog meters and a small number of remotely read digital meters.
• Now we remotely read nearly 15 billion electricity usage data points annually from Smart Meters.
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Reliability and Safety
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Yesterday Future State
Manually Design Switching plans to
resolve un-planned outages using
manually maintained operating
maps
Select Switching Plan from
automatically calculated scenarios.
Uses Real Time Information from
SCADA and CBM monitors
Outage Management System (OMS) Distribution Management System (DMS)
Phasor Measurement Units
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• Range of 0.2 – 2 GB/day/PMU
• Range of 73 – 730 GB/year/PMU
Synchrophasors • Time-
synchronized high speed measurements taken throughout the grid
• Improve situational awareness
• Multiple applications including microgrids
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Image: Schweitzer Engineering Labs
SDG&E Weather Network (144 Stations)
29 Cameras
Borrego Springs, Creelman, Loveland, Rincon,
Rough-Acres, Warner Springs & other fire-prone areas
Monitor the weather
Impacts (vegetation, structures)
Flying Debris
Fire Preparation and Safety Monitoring Santa Ana’s
Wireless Faulted Circuit Indicators
Purpose
• Installation of wireless fault indicators (WFIs) to expedite location of distribution faults, using On-Ramp Wireless communication network.
Scope • Install roughly 3,600 WFIs at 1200 locations • Integrate with new OMS/DMS
Status • Over 2,850 WFIs were installed in 2012
Smart Isolation and Reclosing
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Purpose
• Application of pulse closing technology when reclosing onto faulted circuits to limit the energy into the fault, improving public safety
Scope • Install 18 intellirupters in 2012
Status
• 2009-2011 installations = 157
• 8 installations occurred in 2012
Outage Management System (OMS) Distribution Management System (DMS)
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• Aggregates display of
overall Summary of
outages in progress
and historical trend of
outage and restoration
activity for the
distribution operator.
• Real Time as-switched view of distribution
system.
• Integrated with AMI to more quickly detect
outages. Average of 10 minutes before first
customer call and 25 minutes before customer
calls would predict same outage location.
• Integrated with mobile dispatch system to
dispatch work and track crew status.
Operational Efficiency: Condition Based Maintenance
LTC energy is measured at
the control cabinet on the
other side of the bank
TRANSFORMER
COOLING
ANALYSIS
DISSOLVED
GAS
ANALYSIS
TRANSFORMER
ANALYSIS
TRANSFORMER
BUSHINGS
ANALYSIS
Research, Development, and Demonstration
Customer Energy Management
Substation Energy Storage
Community Energy Storage
Distributed Energy Resources
Home Energy Storage
Microgrid Controller
Feeder Automation System Technology
Description In cooperation with the US Department of Energy and the California Energy Commission, SDG&E along with public and private sector partners are developing a “microgrid” project – a small version of its smart electric grid.
Benefits: • Integrate and leverage various generation and storage configurations and other smart grid technologies • Reduce the peak load of feeders and enhance system reliability • Enable customers to become more active participants in managing their energy use
Research, Development & Demonstration: SDG&E Borrego Springs Microgrid Project
Secure, 2-way Communications
Home Area Network
Integrated and Cross-Cutting Systems
Forecasting Engine(s) Flow
Integrated
Forecasts
Weather
Forecast
Intermittent
DER
Forecast
Customer
Demand
Forecast
ISO Forecast
& Schedule
Prices
Forecast
A common, shared
reference model is
needed to align
forecasts to our
system topology
DERMS
DMS
EMS
System Operations • Forecasts
• Weather
• Load
• Generation
• Time scales
• Day ahead
• Hour ahead
• Real time
• Network models
• 3 phase unbalanced load flow
• GIS information
• Load data
• Generation data
• State estimation
• Contingency planning
• Optimization algorithms
• Match load and generation
• Maintain voltage, frequency and power factor within limits
• Economic dispatch
Strategy
• Sempra Analytics Center of Excellence
• Establish a Community of Practice for analytics professionals
• Enable the development of competencies
• Exchange information and knowledge about analytics solutions, tools and
systems
• Increase our abilities as a company to leverage data to run our
business better
• Blending of IT and OT
• Multi-variable analysis too difficult to perform manually
• Visualization tools
• Present actionable information
• Require interoperability between systems
• Avoid proprietary interfaces and systems
• Develop a smart grid enterprise architecture vision
• Allow management and project owners to see touch points
Tools
Questions ?
Thank you.
Thomas Bialek
Chief Engineer, Smart Grid
www.sdge.com/smartgrid/