This presentation reviews Schneider Electric's collaboration avec Burbank Water and Power, a cutting-edge utility company in Burbank, California, to achieve challenging renewable energy requirements and provide reliable, safe, and affordable power to its customers using advanced technology solutions. To prepare for increased renewable energy requirements, Burbank Water and Power sought a system to manage load, distributed energy resources, distributed storage systems, generation, and variable renewables in order to balance supply and demand and avoid undesirable voltage, power flow, and power quality problems. Burbank’s Integrated Automated Dispatch System (ADS) includes Schneider Electric’s advanced Power Control System (PCS) - for automatic generator control, load forecasting, and renewable forecasting - integrated with Schneider Electric’s OASyS SCADA and WeatherSentry system. The Integrated ADS will allow Burbank to co-optimize scheduling and dispatch of conventional supply resources, distributed generation, and demand-side resources, enable better control of inadvertent interchanges, and reduce reliance on external generation. Through the Integrated ADS, Burbank’s system operators will be able to manage the available system resources to optimize system reliability while achieving the most economic and sustainable energy supply portfolio.

1. C t l C t f Mi idControl Center for Microgrid
and Renewable Integrationand Renewable Integration
at Burbank Water and Power
John Dirkman P EJohn Dirkman, P.E.
Sr. Product Manager, Smart Grid Global
http://www.slideshare.net/SchneiderElectric

2. Burbank Water and PowerBurbank Water and Power
●Started in production with ArcFM v8.0 in 1999
●Miner & Miner customer #10 of over 600 total customers
●Long-time user of Schneider Electric products
● ArcFM GIS ● Fiber Manager● ArcFM GIS
● Responder OMS
● ConduitManager/UFM
● Fiber Manager
● OASyS SCADA
● SAGE RTU’s
●Working to implement:
● OASyS Upgrade, 100% virtualized, including IPsec for RTUs (completed)
Schneider Electric’s Power Control System (PCS) with integration to OASyS● Schneider Electric’s Power Control System (PCS) with integration to OASyS
SCADA, WeatherSentry, and OATI (ongoing)
● Schneider Electric’s Advanced Distribution Management System (proposed)
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3. Burbank Water and PowerBurbank Water and Power
●Serves 45,000 households and 6,000 businesses in Burbank, California
ith ater and electricitwith water and electricity
●22 Substations, 150 feeders, 320MW peak load
●Extensive fiber optic networkExtensive fiber optic network
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4. ArcFM with Substation InternalsArcFM with Substation Internals
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5. BWP Smart Grid Program Overview
$60 million$60 million –– 3 year Capital Program3 year Capital Program
BWP Smart Grid Program Overview
BWP Smart Grid Core Systems:BWP Smart Grid Core Systems:
• Cisco powered fiber optic network
• Tropos City-wide wireless mesh network
• Trilliant / General Electric AMI meter systemTrilliant / General Electric AMI meter system
• eMeter Meter Data Management System (MDMS)
Command and ControlCommand and Control
S O S S SC
Security SuiteSecurity Suite Distribution/Station AutomationDistribution/Station Automation
S• Schneider Electric OASyS SCADA
• Integrated Automated Dispatch System (IADS)
• New Power Operations Center
• Physical security
• Cyber security
• Policy, procedures,
standards
I d B i S tI d B i S t
• Static Power Flow Model
• Digital Relays / Auto-Reclosers
• Station Automation projects
• Feeder Automation projects
Improved Business SystemsImproved Business Systems
• Geographical Information System (GIS)
• Outage Management System (OMS)
• Enterprise Service Bus
C t I f ti S t (CIS)
Customer Smart ChoiceCustomer Smart Choice
• OPower Home Energy Reports
• Customer Web Portal
• Time of Use Rates
Demonstration ProjectsDemonstration Projects
• Electric Vehicle Chargers
• Black Start Project (Micro Grid)
• Customer Information System (CIS)
• Virtualized Server Environment
• Time of Use Rates
• Smart Appliance Demonstration
• Demand Response and Load
Management Analysis
j ( )
• Energy Storage
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6. Renewable Resource CommitmentRenewable Resource Commitment
I J 2007 th B b k Cit●In June 2007, the Burbank City
Council adopted BWP's
recommendation that 33% of
electricity be procured from
renewable resources by 2020.
●Burbank was the first city in the
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●Burbank was the first city in the
United States to step up to this
ambitious goal.

7. BWP’s Current Renewable ResourcesBWP s Current Renewable Resources
●Wyoming Wind – 5MW maxy g
●Milford Wind – 10MW max
●Pebble Springs (small hydro) – 10MW max●Pebble Springs (small hydro) – 10MW max
●Tieton (small hydro) – 7MW max
●Wild Rose Geothermal – 2MW in Jan 2014
●Copper Mountain (solar) – 40MW in Jan 2015
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8. Renewable Resource VariabilityRenewable Resource Variability
185 MW
170 MW
20 MW
10 MW
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9. Innovating a Smarter Grid at BWP
G T D L
Innovating a Smarter Grid at BWP
The first time a single integrated system will be used to automatically
control generation manage forecasting s stem oltage/VAR s itchingcontrol generation, manage forecasting, system voltage/VAR, switching,
and customer DR/DER equipment to maintain an optimal balance
between available resources and customer load demand.
Provides
power from
external
power
Magnolia Power Plant Lake Power Plant Jay Leno’s Garage
Interties
power
plants and
wind farms
310 MW peak 47 MW peak 54kW peak
Interties
Generation: Controlled via SE’s Power Control System and OASyS
SCADA Automatic Generator Control Load Forecasting RenewableSCADA - Automatic Generator Control, Load Forecasting, Renewable
Forecasting - and OATI WebDistribute for economic scheduling.
Forecasting uses data from SE‘s WeatherSentry system and a local SE
id d th t ti i d d t ti l f ti
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provided weather station using advanced computational forecasting
methods like Support Vector Machines and Particle Swarm Optimization.

10. IADS System Components and Interfaces
(Schneider Electric)
SCADA/PCS
webDistribute/
webDispatch
(Schneider Electric)
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11. Integrated ADS Business ObjectivesIntegrated ADS Business Objectives
●Integrate Demand and Supply side resources into the real time and
da ahead operation of the electric tilitday-ahead operation of the electric utility
●Automate and Optimize dispatch of resources:
● Generation
● Renewable energy resources (solar and wind)
● Energy and ancillary service purchases
● Demand response● Demand response
● Direct load control
● Load shifting
● Energy storage
● Distributed generation, PV, and EV charging systems
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12. PCS FunctionalityPCS Functionality
●Automatic Generation Control
●Economic Dispatching
●Interchange Transaction Scheduler
●Unit Commitment●Unit Commitment
●Load Shedding
● Fast Load Shedding
● Underfrequency Load Shedding
● Maximum Demand Control
●Load Forecast●Load Forecast
● Near–term Load Forecast
● Short–term Load Forecast
●Renewables Forecast
● Solar generation forecast
● Wind generation forecast
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● Wind generation forecast

13. PCS DashboardPCS Dashboard
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14. Automatic Generation ControlAutomatic Generation Control
●AGC Overview window
M i i f ll i l d● Monitoring of all crucial system data
● Selecting AGC control mode and control status
AGC d●AGC modes
● Tie-Line Bias
● Constant
Frequency –
frequency
regulation
● Constant Net
Interchange –
interchangeg
regulation
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15. Automatic Generation ControlAutomatic Generation Control
●Generator control
C fi i d i i f i i l● Configuration and monitoring of critical generator parameters
●Parameters
● AGC Set Point● AGC Set Point
● Active and
Reactive
PowerPower
● Production
Cost
R● Reserves
● Fuel Mixture
● Ramp Rates
● Prohibited
Zones
● Derating
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Derating

16. Load ForecastLoad Forecast
●Short and near term load forecast
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17. Renewables ForecastRenewables Forecast
●Solar short and near term renewable forecast
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18. Renewables ForecastRenewables Forecast
●Wind short and near term renewable forecast
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19. WeatherSentry
● Weather imposes the largest external impact on the Smart Grid
● Demand, renewable energy supply, and outages are heavily influenced by weather
WeatherSentry
Demand, renewable energy supply, and outages are heavily influenced by weather
● Intelligent weather integration is the key factor in efficient Smart Grid management
Transmission Distribution
Load Forecasting
90% of demand variation
due to weather
Transmission
Temperature,
humidity and wind
impact line capacity
Distribution
Weather is largest cause of
outages (lightning, high winds,
ice, transformer failures due to
high load, etc.)
Wind Power
Highly variable difficult to predict
Distributed Generation
H l t ib ti
Trading
Improved prediction of load
and renewable energy
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Highly variable, difficult to predict.
Causes increases in spinning reserve
generation and risk of grid instability
Home solar contributions can cause
system instability due to rapid cloud
cover changes
and renewable energy
contribution improves trading
decisions
Wind Power Forecasts

20. Demand ManagementDemand Management
●Identify largest contributors to system peak among
B b k’ tBurbank’s customers
●Quantify their individual kW contribution to Burbank’s
demand peaks during summer months (July September)demand peaks during summer months (July-September)
●Quantify the potential kW reduction available from each of
these largest customersthese largest customers
●Rank / prioritize these largest customers by kW contribution
to Burbank’s system peaks and by total potential kWto Burbank s system peaks and by total potential kW
reduction, and
●Provide direction and rational to Burbank about which
customers should be included first in their DR program
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21. Demand ManagementDemand Management
●Preliminary findings indicate opportunities fory g
reductions from:
●coordinated cycling of AC unitsy g
●increasing number of electric vehicle charging stations
so that fewer vehicles need to charge during peak
afternoon times
●testing emergency generators during peak times to offset
li dsupplied power
●virtualizing servers
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22. ADMS DG/DER Operation & OptimizationADMS DG/DER Operation & Optimization
●Dispatch (reliability, economic)
● Dispatch entire network or localized areasDispatch entire network or localized areas
● Increase or decrease generation (automatically/manually)
●Operation Validation
● Prevent operation on adjacent feeders
● What-if analysis in simulation mode
●Volt/VAR OptimizationVolt/VAR Optimization
● Manage VVO in the presence of DERs
● Utilize DERs as VVO resource
R l P t ti C di ti●Relay Protection Coordination
● Adaptive relay protection and transfer trip settings
●Microgrid IslandingMicrogrid Islanding
● Islanded networks with reliable service
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23. ADMS DG/DER Operation PlanningADMS DG/DER Operation Planning
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24. Voltage Profiles with DG/DERVoltage Profiles with DG/DER
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25. SummarySummary
●Burbank Water and Power and Schneider Electric have a
long history of collaboration on advanced technology projects
●Advanced systems like those provided by Schneider Electric
b l d ti i l d d d d idcan balance and optimize supply and demand and provide
reliable, safe, and affordable power in the presence of highly
variable renewable resourcesvariable renewable resources
●Integrations between applications are an integral part of
these advanced systemsthese advanced systems
●Sophisticated Load Forecast and Renewable Forecast
algorithms are a critical component of advanced Powerg p
Control Systems
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26. Thank You!
http://www.slideshare.net/SchneiderElectricp
John Dirkman P EJohn Dirkman, P.E.
Sr. Product Manager, Smart Grid Global