Con Edison Demonstration Project DE-OE0000197 Customer Sited Resource Management Tools
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Transcript of Con Edison Demonstration Project DE-OE0000197 Customer Sited Resource Management Tools
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Con Edison Demonstration ProjectDE-OE0000197
Customer Sited Resource Management Tools
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DERMS
• Distributed Energy Resource Management System – Siemens/TIBCO
• Demand Response & Distributed Generation resources integrated with distributed system
• Near real time status of DR and DG resources
• Control Capability: Demonstrated control of DR Resources via secure messages through NOC or directly to buildings (disabled initially)
• User Group – Distribution Engineering
DRMS
• Demand Response Management System– Alstom Grid
• Demand Response Program Management– Enroll– Event notification– CBL performance– Reporting– Settlement
• Near real time DR performance• User Group – Energy Efficiency
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Distributed Energy Resource Management System (DERMS)
Smart Grid Data Store
Load Flow
Interval Meters
Smart Meters
One Line Displays
TabularDisplays
ImpactAnalysis
Meter Data Processing
Demand Response
Complex Event ProcessingSOA Adapter SOA Adapter
Substation/Feeders/
Transformer Status
SOA Adapter SOA Adapter
SOA Adapter
SOA Adapter
SOA Adapter
SGDP Secure Interoperable Services
Distributed Energy
Resources/Demand
Response Participants
SOA Adapter
SOA Adapter
SOA Adapter
Con EdisonDERMSOthers
Logging Alerts Management/Monitoring Notification
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Distributed Energy Resource Management System• Con Edison Distributed System
Status integrated with Customer Resources
• Targeted Demand Response from the following:– Building Management System (BMS)
– Controller Connected to Standby Diesel Generator
– Controller Connected to Electric Vehicle Charger with Standby Battery and PV Generation
– ThinkEco Modlets DR resource mapping
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DERMS Resource Information
• Resource type
• Available Demand Response
• Current Generation
• Current Load Drawn
• Date / time of last status
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PVL Decision Aid Integration into DERMSPrioritizes DR resources to alleviate overloaded Feeder Sections or Network Transformers
• Enables Targeted curtailment to alleviate overload on feeder or transformer
• Recommends DR resources to alleviate overload condition
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SGDP Demand Response Diagram
SGDP Demand Response protocols provide better visibility and real-time dispatch of customer resources
Status Status
Curtailment Action
Start CurtailmentMessage
Lexington AveDR:100 kW
Software
Distribution Control Center
Demand response
Distributed generation
28 Facilities with20 MW of DG
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DERMS
• Distributed Energy Resource Management System – Siemens/TIBCO
• Demand Response & Distributed Generation resources integrated with distributed system
• Near real time status of DR and DG resources
• Control Capability: Demonstrated control of DR Resources via secure messages through NOC or directly to buildings (disabled initially)
• User Group – Distribution Engineering
DRMS
• Demand Response Management System– Alstom Grid
• Demand Response Program Management– Enroll– Event notification– CBL performance– Reporting– Settlement
• Near real time DR performance• User Group – Energy Efficiency
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DRMS Implementation Architecture and Functionality
ProgramManagement
EnrollmentProcesses
YieldForecasting
DispatchOptimization
DispatchStrategies
Device & LoadManagement
EventManagement
Meter DataRepository
BaselineCalculations
SettlementPreparation
DRBizNet Web-Services API
Email/IVR
User Access(Portal/LPAD)
LoadForecasting
Meter Data System(MDMS)
SettlementSystems
CustomerInformation
SystemsVisualization
Platform
Send Word
Now IVR
CustomerNotifications
EmailAgent
Send Word Now IVR
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Baseline Calculations
Baseline Calculations Engine
• Calculates recent historical usage to determine average usage prior to an event
• Calculates the actual performance during a DR event
Settlements Preparations Engine
• Calculates the payment due to a customer based upon their performance and the Program payment rules
• Calculates each hour / time segment separately
• Submits the credit/payment as a billing determinant to the Billing system
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Visualization of Pre-defined Event StrategiesImpact shown against the system load
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Optimization Module Modeling Dispatch Options • Targeted DR Reduction
• Peak Load Shifting
• Economic Pricing/Profit
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Con Edison Demonstration ProjectDE-OE0000197
Customer Sited Resource Management Tools