Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand...

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Research & Development at Con Edison 1 BNL Smart Grid Workshop 10.9.15 Margarett Jolly Director R&D

Transcript of Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand...

Page 1: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Research & Development

at Con Edison

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BNL Smart Grid Workshop

10.9.15 Margarett Jolly

Director R&D

Page 2: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Research & Development

for Con Edison/O&R

Vision

Drive timely innovation technological solutions addressing strategic and

operational needs of the corporation

1969 Chartered

$15 Million

Budget

100 Patents

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Research & Development

A Shared Services Organization

Sergo Sagareli

Margarett Jolly

Brenda Hill

Frank Doherty

Jade Wong

Serena Lee

Rick Trieste Nick Cuomo

Andrew Reid

Josephine Aromando

Alejandro Jaramillo

Philip Fowles Britt Reichborn-Kjennerud

Steve Labudzinski

Bill Fairechio

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Peak Load Reduction Challenges

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2016 Peak Load Curve for Network Feeders

Load (

MW

)

750

770

790

810

12 pm 6 pm 12 am 3 pm 9 pm

Transmission Feeder Capacity

Projected Loading

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Current R&D Battery Demonstration &

Development Projects

• Development support for CUNY Zinc Manganese Dioxide

Battery

– Commercialized by Urban Electric Power

• EOS Zinc Air Battery Demonstration at Van Nest

– 6 kW system

– Evaluation of key performance metrics, benefits

• Transportable Energy Storage Demonstration (TESS)

– 800 kWh, 500 kW system

– Fully integrated system

– Mobile load relief application

– Provide connection at customer Vault

HVAC

Battery

Room Electrical

Control Room

(contains PCS

and

transformer)

Trailer

Bed

4’ x 8’ x 12.5’ trailer, 6,000 lb

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Collaboration With the FDNY and DoB

• Nov 2014: FDNY/Con Edison collaboration and project scoping

– Con Edison team: EE & DM, R&D, Emergency Response

• Mar 2015: NYSERDA and NYC DOB formally join the project

• True Information Gap Exists: First responders’ safety guidelines needed to

inform training and response procedures

• FDNY Primary Concerns:

– Identification of effective and safe suppression agents (avoid exotic ones or ones

requiring special equipment)

– Gasses released in burn – material and rate

– Current leakage through suppression agent to extinguisher nozzle

– Propagation of fires within a rack and between racks

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Page 7: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Other Battery Activities – None Provide First

Responder Operational Guidelines

• Storage procurements and installations in other States

– California: 1.325 GW utility and customer sided required by CPUC by 2024; staged

procurement process underway

– Texas: 5 GW utility sided proposed

• Private Lab Testing

– Underwriters Laboratories, Factory Mutual, DNV GL, Exponent, and other private

testing laboratories

• Government and private organizations

– DOE and National Labs: Sandia and Pacific Northwest National Labs (ESS Strategic

Plan—very general)

– EPRI (Energy Storage Integration Council (ESIC))

– State Organizations: NYBEST/NYSERDA, ESA, CESA

– Firefighting Associations: NFPA, Fire Research Foundation (Lithium Ion Hazard

Assessment RFP) 7

Page 8: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Project Deliverables and Timeline

• Testing and modeling reports

• First Responders Guidelines Document

• Supporting information for FDNY

– Operational procedures

– Training documents

• Expect to complete project activities by early 2016 to support BQDM project

timeline

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The First Gas Detector - Canaries!

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Infrared Controlled

Interference Polarization

Spectrometry

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Hydrogen supply Sample inlet

Collector

electrode

Igniter Polarizing

voltage

Flame Ionization Tunable Diode Laser Absorption

Spectroscopy

Cavity Ringdown Spectroscopy

Present and future Gas Detectors

Differential Absorption Lidar

Schlieren Optics Methodology

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Manhole Event - Origin

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What can cause an event

1. Salt

2. Salt Water

3. Heat

4. Gas, smoke

5. Spark

6. Explosion

Page 12: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Current R&D Efforts To Enhance Manhole

Safety

• Secondary Network Arcing Fault Detection

• Alternative Cover and Vault Designs

• Enhanced Voltage Scanning

• Sparking Gas Detection

• Alternative Deicing

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Prevention of Cascading Event

Using the DG Plug and LV Switch

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• Stop a cascading from propagating through

the network by isolating 1.2MVA

• Portable DG can be utilized to pick up

isolated demand

• 5 locations, each of which can be isolated

independently

– 750 customers

– 27 low voltage switches

– 39 DG quick connect plugs

• Worked with DE, R&D and vendor to develop

Low Voltage Switch and DG Plug

G Distributed Generator

Open LV Switch

PROSPECT

PARK

FLATBUSH

G

Isolated Load Pocket

Network Fringe

400 kVA Generator 12 Required 6 Required

Page 14: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Gamification of Residential Demand Response

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• Demand Response (DR) goal: Reduce customer load during

times of peak electrical use

• coolNYC targets the ~6 million window air conditioners in our

territory

• During a DR event Con Edison can increase the set point of

the air conditioner ~few degrees for about 4 hours.

• The customer can opt out and override the utility control

Page 15: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Residential Demand Response at Con

Edison: coolNYC

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Customer

Modlet allows the customer to:

• View energy used by ACs

• Control ACs by time or temperature

Modlet Makes window ACs

controllable

View and control remotely

via Internet

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Earning Points…

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Participating in the

coolNYC program

– Signing up for the

program

– Setting up AC

controlling modlet

with wifi

– Participating in each

DR events (the

longer the better)

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What Did Our Customers Think about the

Behavioral Incentives?

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• Customer participation in

events increased by 20%

(even on hottest days)

• Program cost decreased

by 20%

• Next steps: Expand use

of the behavioral

incentives in

• coolNYC program and

• Possibly other EE

programs

* Note: Summer of 2014 was unseasonably cool

Outside Air Temperature (degrees F)*

Avera

ge P

art

icip

ation in D

R E

vent

(hours

)

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Integration of Microgrids and Distributed Energy

Resources (DER) - Goals & Objectives

• Customers Needs

– Secure & reliable energy that is sustainability & resiliency

– Energy efficiency & demand reduction

• Main objective

– Create a dynamic grid system that can accommodate increased

penetration of Microgrids & DER.

• Engineering Study

– Explore the challenges and opportunities in defining and

implementing Microgrids

– Explore the potential benefits of using real-time monitoring and

advanced control of Distributed Energy Resources (DER)

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Page 19: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Use Cases – Carved Out Network

Microgrid

• DER Technologies

– CHP

– Solar PV

• Load Types

– 3-5 story multi-fam.

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SW SW SW

SW SW

G

G G G

Load

DER

Microgrid

Boundary

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Use Cases – Overhead 13kV Autoloop

Microgrid

• DER Technologies

– Battery

– Solar PV

– Combustion

• Load Types

– Residential

• Single

• Multi-family

– Commercial Properties

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Use Cases – Facility/Campus Microgrid

• DER Technologies

– CHP (High Tension)

– Solar PV (Low Tension)

• Load Types

– Multi-Story Mix

• Residential Tenants

• Commercial Tenants

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Low Tension

Loads

Microgrid

Boundary

CB

CB

CB

CB

CB CB CB CB

CB CB CB CB

CB

SW

G

High Tension

Generator

SW SW SW

SW

SW

SW

SW

Page 22: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Project Deliverables

• Requirements Specifications

– Microgrid Resources, Platform Design & Architecture

• Use Cases

– High level functional description of use cases & solutions concepts

• Control & Power Systems Modelling and Simulation

– Power Systems & Marginal Cost Benefit Analysis

– Disconnect & Connect methodologies and protection

• Deployment Specification Options (NYSERDA)

– Integrate of existing telecommunications systems, substation devices,

control center and enterprise applications

– Functional architectural considerations

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R&D/DE Andrew Reid

Page 23: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Geomagnetic Disturbance Phenomenon

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Page 24: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Geomagnetically Induced Current Modeling

Objective: Evaluate and address modeling gaps and practices through real world

application of advanced GIC modeling techniques through calibration of the

Con Edison GIC network model.

Z(w)E(t)

● GICn(t)

Magnetic Field

MeasurementsGeoelectric Field

Earth Conductivity

Model Sn System GIC Model

Sn = Sx,n + jSy,n

GIC at Location n

B(t)*Project Tasks

• System data collection

• Component model development

• Network model calibration

• Software tool verification

• Model validation assessment

• Parametric sensitivity analyses

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UAVs – Military and Civilian

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NASA weather drone

Emergency

response

Commercial

delivery

Assessment

Inspection

Page 26: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

UAV Lidar Imaging for Corridor Inspection and

Vegetation Management

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Page 27: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Damage assessment of the future

Work order generation

and compilation / integration

Work scheduling and

dispatch

Computer Vision

Synchronizing and Job Creation

Damage Assessors Dispatched

Field crews repair, restore

and report work done & ERT

Severe weather –

utility assets impacted

Post-Storm

Damage

Assessment

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UAV, Satellite, & ground Imagery

dispatched

Page 28: Research & Development at Con Edison · Gamification of Residential Demand Response 14 14 •Demand Response (DR) goal: Reduce customer load during times of peak electrical use •coolNYC

Research & Development

at Con Edison

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BNL Smart Grid Workshop

10.9.15 Margarett Jolly – 212-460-3098 [email protected]

Director R&D

Thank You!