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

2

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

3

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

4

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.

8

Reliability and Safety

10

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

11

• 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

12

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

16

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)

17

• 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

tbialek@semprautilities.com

www.sdge.com/smartgrid/