Smart Grid Projects NSTAR - PowerPoint PPT Presentation

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Smart Grid Projects NSTAR

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Smart Grid Projects ... we re able to restore power ... the approach to DA has changed to provide more interoperability and flexibility --RTU and radio ... – PowerPoint PPT presentation

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Title: Smart Grid Projects NSTAR


1
Smart Grid Projects NSTAR
  • Larry Gelbien
  • New England Restructuring RoundTable
  • December 4, 2009

2
AGENDA
  • Overview of Three Smart Grid Projects
  • Grid Self-Healing Project
  • Urban Grid Monitoring and Renewables Integration
    Project
  • AMR Based Dynamic Pricing Project
  • Questions

3
Grid Self-Healing ProjectDOE ARRA Deployment
Project

4
Automated Sectionalizing Unit Program
Cumulative Number of Averted Sustained Customer
Outages Due to ASU Operations Through 10/31/09
Slide Updated November 9, 2009
4
5
Top Decile
Restoration
Reliability
Avg. months between interruptions
Avg. time to restore service
5
6
Smart Grid Distribution Automation
  • Over 1,300 SCADA Switches with over 7,500 smart
    sensors installed through the service
  • 40 to 60 new devices with 120 additional smart
    sensors annually

6
7
Smart Switch Equipment
7
8
Self-Healing Distribution Grid
With State-of-the-Art Technology
  • Electric delivery network using modern sensing,
    communications, and information processing based
    on digital technologies
  • Microprocessor-based measurement and control
    using remote sensors
  • Current, voltage, KVA, temperature
  • Circuit self-healing implementation
    (Auto-Restoration) 900 circuits
  • Supervisory controlled overhead and underground
    switches with voltage and current sensors 220
    switches
  • Interoperability standards using PI interface
  • SCADA interface to recloser control cabinet 20
    reclosers

8
9
Three Operational Modes
  • Mode 1 Supervisory mode
  • Leverages remote control of switches
  • Operator controlled sequences
  • Mode 2 Operational Acknowledgement mode
  • Computer-simulated restoration sequences
  • Operator validation and execution
  • Mode 3 Self-Healing mode
  • Computer-determined restoration sequences
  • No human intervention

9
10
NSTAR Grid Improvement Example of how ASUs work
10
11
Self-Healing Auto-Restoration
11
12
GWAC Interoperability Checklist for Project
12
13
DOE Funding Approved
  • 20 million deployment project with 50 DOE
    funded
  • NSTAR to fund 50 as capital project
  • DOE grant agreement to be executed

14
Urban Grid Monitoring and Renewables
IntegrationEnablers to Test Distributed
Resource Integration
15
Project Objectives
  • Improve visibility into secondary area network
    grid
  • Deploy sensors on the underground secondary
    network methodology
  • Refine methods suitable to scale broadly across
    urban areas nationwide
  • Develop model to safely examine small
    inverter-based distributed resource integration
  • Solar PV integration from downtown customers
  • Potential for integration anywhere on the test
    grid
  • Pave the way for other, inverter-based DER in the
    future
  • Received DOE Smart Grid demonstration grant,
    pending DPU approval

15
16
Demonstration Grid Location (Shown in Red)
16
17
Functionality Deployed in Layered Approach
Layers provide the data collection, monitoring,
and analysis required for safely testing
distributed resource integration
17
18
Metering and Analysis
  • Distributed resource interconnection on secondary
    networks
  • IEEE 1547 examined
  • Approach submitted for comment at August 2009
    IEEE meeting
  • Additional metering capability
  • kWh smart metering on customers with PV
    integration
  • Enhanced feeder data metering including V A
    phase info
  • Customer PV interconnection
  • Power flow monitored
  • Remotely controlled to disconnect on unsafe
    condition
  • Engineering analysis
  • All sensor data to be collected at Collection
    Server
  • Information forwarded to SCADA system and plant
    information system for Engineering, Operations,
    and Planning access

18
19
Project Topology View
19
20
Key Questions to be Answered
  • What significant deployment and installation
    challenges were encountered?
  • What is the percent of load from participating
    customers?
  • From PV vs. other sources
  • How effective was the mixed data collection
    methodology?
  • What is the frequency of disconnect due to grid
    stability concerns?
  • Will a higher percent of minor-node be effective
    in the future?
  • How durable is the sensing equipment, especially
    minor-nodes?

20
21
AMRBased Dynamic Pricing Project
  • Pilot requirements
  • Cover at least 2,750 customers (0.25 of
    subscribers)
  • Integrated two-way communications
  • Smart meters
  • Real-time measurements and communications
  • Embedded automated load management
  • Remote monitoring and operation of distribution
    system
  • Time-of-use or hourly pricing
  • Rate treatment of incremental program costs
  • Minimum 5 load reduction (peak and average)
  • Received DOE Smart Grid demonstration grant,
    pending DPU approval

21
22
Consumer Behavior Provide Accurate Information
to Make Informed Decisions
  • Load Control
  • Pricing Options
  • Energy Efficiency (CFL, Load Control, Solar, DG,
    PHEV)

22
23
Near Real-Time Information for Customers and
Utilities
  • Communication Options
  • Least Cost Options
  • Minimize Stranded Costs

Mesh
AMR/AMI over Customers Broadband Service
Broadband over Power Line
Cellular
23
24
QUESTIONS?
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