ww

w.inl.gov

NSF Workshop

Real Time Data Analytics for the Resilient

Electric Grid

Data Driven Measuring and Enabling

Resiliency of the Community Grids

Rob Hovsapian, Ph.D.

Manager, Power and Energy Systems

Idaho National Laboratory

August 3rd, 2018

Integrated Multi-Scale Real-Time Simulation Test-bed

2

Real world PHIL & CHIL testing capabilities.

1 - INL Utility Scale Microgrid Project – Red Cross Evacuation

▪ Funded by California

Energy Commission’s

Electric Program

Investment Charge

▪ PON-14-301

▪ Program Goal:

Demonstration of Low

Carbon-Based Microgrids

for Critical Facilities

▪ Partners – INL, Siemens,

Tesla (Utility scale Storage)

Humboldt University, PG&E

Blue Lake Rancheria – CEC Project

• Microgrid provides resilience to the power supply in the area, a Red Cross evacuation route.

• Operating and troubleshooting complex systems in a test environment.

• Developers could safely conduct fine-tuning and de-risk transitions to the end-user’s live systems.

• Partners included the California Energy Commission ($5M with 20% cost share), Siemens, Tesla and Humboldt State University.

California Energy Commissioner – ProjectFuture & Existing Energy Infrastructure

Digital Blue Print, Rapid Prototyping Design Environment and Functionality Testing via CHIL

Microgrid Modes of Operation:

1. Grid connected 2. Black start transition3. Off-grid operation4. Resynchronization to

PG&E network

PG&E Power System Network

INL

Blue Lake Rancheria , CASiemens

MGMS

Modbus/DNP3.0 connection

BLR – Benefits / Awards

Energy Savings

First year savings were 563 MWh.

Greenhouse Gases

159 metric tons of CO2 were abated during the first year.

Job Creation

This project has resulted in the creation of four permanent, new jobs at

BLR. This is a 10% increase in the tribal government workforce.

Public Safety

The BLR campus now has a supply of locally generated green power,

which together with battery storage, provides emergency power to

support their role as a Red Cross shelter in times of need.

Awards:• FEMA’s 2017 Whole Community Preparedness Award

• DistribuTECH 2018 Project of the Year for DER Integration

Idaho Falls Power - Smart Reconfiguration of Idaho Falls Power Distribution Network for Enhanced Quality of Service

Idaho Falls Power Regional Distribution Network

microPMUs

PMUs

SEL HIL

(to be extended)

Protection devices

and

Switches Hard

ware P

MU

Analog/digital output

Analog/digital output

Measurement

Measurement

Control action

Analog output

Software PMU

Va

Vb

Vc

q

d

INL Energy Systems Laboratory

Priority Description

1 – 4

Very High Priority Loads

(Examples: Hospitals, Control/Command

center, Emergency Response/Dispatch)

5 – 9

High Priority Loads

(Examples: Airport, Correctional Facilities,

Police Department, Fire Station)

10 – 12 Medium Priority Loads

(Examples: Fire Station, State Services)

13 – 16

Low Priority Loads

(Examples: Water Treatment, Community

Care)

2 - Resilience Metrics Approach to design a Community Grid

Next Generation Microgrid Design

• Next generation of microgrid design tools– Communication emulation

– Co-simulation of • communication,

• power electronics (including SiC-based devices),

• power systems (including real-time emulation of protection system)

9

NS3-based Communicat ion Layer

Cont rols

I nterface

Cont roller HI LHardware Protect ion Relays

I nterface

V,I -AMPs

Resilience Based Reconfiguration/Operation

10

Example

Priority

Example

Load Description

1 – 4

Very High Priority Loads

(Examples: Hospitals,

Control/Command center,

Emergency

Response/Dispatch)

5 – 9

High Priority Loads

(Examples: Airport,

Correctional Facilities,

Police Department, Fire

Station)

10 – 12 Medium Priority Loads

(Examples: Fire Station,

State Services)

13 – 16

Low Priority Loads

(Examples: Water

Treatment, Community

Care)

Example Critical Loads (priority numbered)

3

4

10 12

13

14

1 2

11

15

8 9

5 6

7

16

Real-time Integrated HIL Testing

Idaho Falls Power Regional Distribution Network

microPMUs

PMUs

SEL HIL

(to be extended)

Protection devices

and

Switches Hardw

are PMU

Analog/digital output

Analog/digital output

Measurement

Measurement

Control action

Analog output

Software PMU

Va

Vb

Vc

q

d

INL Energy Systems Laboratory

11

• Black Start of IFP grid and re-synchronization to transmission grid• One scenario is investigated to test synchronization of City Bulb generator to a

T-grid source while City Gen is serving the local command center critical loads

Black Start – Preliminary HIL Testing March ‘17

Out of

Synchronis

m

In

Synchronis

m

► Synchronization controls are modeled in RTDS-RSCAD for seamless

resynchronization

► SEL 700GT+ Relay is used as Hardware-in-the-Loop (HIL) simulation with

analog and digital interfacing with RTDS

T-grid kept at

46kV, 60Hz,

20degrees

Total load

~ 874 kW

Station Transformer

4.16kV/12.47kV/46kV

City Bulb: 8.9MVASEL

700G

12

13

3 - Resilience By Design – Resilient Alaskan Distribution system Improvements using Automation, Network analysis, Control, and Energy storage (RADIANCE)

Goals and Objectives (cont’d.)Technical Approach: Integrated and iterative

field validation of resilience-based design and

operation to goals

Figure is modified directly based on GMLC Lab Call document

Project OverviewResilience Metrics Framework for Design and

Operation

Field validation of increasing resiliency of the overall distribution system by

leveraging resources from multiple networked microgrids

Leverage rotational and virtual inertia of microgrids assets including hydro,

diesel, energy storage, and micro PMU-based sensing to enhance

resilience of the overall regional distribution network

Develop and demonstrate practical use of resilience metrics for

coordinated operation, design to minimize outages, financial losses

Multiple Networked Microgrids in Distribution System

Cyber-security Architecture and Rapid Prototyping of

Controls

Field Validation of Resiliency Enhancement Methods

Rapid prototyping of controllers as HIL and cyber-vulnerability testing in a

real-time cyber-secure environment

1

2

3

4

• Storm Hardening

• Installation of backup

generator

Recovery

Resources strategically

placed

Request backup

Services and crew

Smart Load

Shedding

Process Validation

Critical Load

survival

Automated restoration

Smart recovery and

Repair-based restoration

Initial Forecast

Stage 2 Stage 3 Stage 4Stage 1

Event characterized Precede Event During Event Aftermath Recovery Phase

Resiliency enabling process is dynamic

Anticipate Withstand Recover

Develop a threat modelKnow the infrastructure

Anticipate impact of threat on the infrastructure

Building upon software tools developed in GMLC 1.3.9, CANVASS, resiliency

metrics will be calculated based on threat at a nodal as well as a network level.

Calculating Resiliency Metrics

Ability of an infrastructure component or

infrastructure to endure an high-impact event, may be

storm hardening, or backup individual

generators

Minimum spanning tree and critical-first restoration

strategies and resource optimization to enable

maximum resilience and minimum downtime

Architecture Design – Resiliency Framework

• Operational Resilience Metrics Computation Flowchart

Real-time Inputs

(weather, power grid)

Historical

Data

Probabilistic

Analysis

Physical

and

Communication

Infrastructure

Design

Operation

and

Controls

Real-time computation

of Resilience Metric

Thank you

rob.hovsapian@inl.gov850-339-9432