Secure-WAMS:Using Exo-GENI for Attack-Resilient Monitoring

and Control of Next-Generation Power Grids

US Ignite Application Summit

June 26, 2014, Sunnyvale, CA

Aranya Chakrabortty & Jianhua Zhang

North Carolina State University

Yufeng Xin

Renaissance Computing Institute

1 7 0 0 1 7 5 0 1 8 0 0 1 8 5 0 1 9 0 0

5 9 . 9 3

5 9 . 9 4

5 9 . 9 5

5 9 . 9 6

5 9 . 9 7

5 9 . 9 8

5 9 . 9 9

6 0

6 0 . 0 1

T im e i n s e c o n d s (s e c . ) w i t h o r i g i n a t : 1 6 : 2 4 : 0 0 E S T

Fre

quenc

y (

Hz

)

F r e q u e n c ie s in A E P - O c o n e e E ve n t

J F K R M F R K O R O S0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 2 5 0 0 3 0 0 0 3 5 0 0

0 .9 8

0 .9 9

1

1 .0 1

1 .0 2

1 .0 3

1 .0 4

T im e in s e c o n d s (s e c . ) w it h o rig in a t : 1 2 : 3 8 : 0 0 E S T

Volt

age M

agnitud

e (

pu)

P M U V o l t a g e M a g n i t u d e s in A E P - R ic h vie w E ve n t

J F K R M F R K O R O S

High-resolution voltage measurements

High-resolution frequency measurements

High-resolution PMU measurements from the US west coast grid

Facility Integration

Real-Time Digital Simulators

ExoGENIPhasorLab

Control Room

PDC PDC PDC PDC

PDC PDC

PMU PMU

PMU

PDC PDC PDC PDC

PDC PDC

PMU PMU

PMU

PDC PDC PDC PDC

PDC PDC

PMU PMU

PMU

Inter-area

Communication

Inter-area

Communication

Area 1

Area 2 Area 3

Communication Network

Centralized RLS Distributed Prony

0 2 4 6 8 10 12 14 16 18 20-35

-30

-25

-20

-15

-10

-5

0

5

10

Phase Angle Transience

Time (seconds)

Angle

(D

egre

es)

Inertia=1 MWs/MVA

Inertia=3 MWs/MVA

Inertia=6 MWs/MVA

Inertia=10 MWs/MVA

0 2 4 6 8 10 12 14 16 18 201.26

1.265

1.27

1.275

1.28

1.285

1.29

1.295

1.3x 10

5 Bus 9 Voltage Transience

Time (seconds)

Vo

ltag

e

Inertia=1 MWs/MVA

Inertia=3 MWs/MVA

Inertia=6 MWs/MVA

Inertia=10 MWs/MVA

Phasor Lab

Conclusions

1. WAMS is a tremendously promising technology for control researchers

2. Control + Communications + Computing (CPS) must merge

3. Plenty of new research problems – EE, Applied Math, Computer Science

4. Plenty of new distributed optimization and control problems

5. Both theory and testbed experiments must progress

6. Right time to think mathematically – Network theory is imperative electric grid

7. Needs participation of young researchers!

8. Promises to create jobs and provide impetus to power engineering

Thank You

Emails: achakra2@ncsu.edu yxin@renci.org

Homepage: http://engr.ncsu.edu/achakra2

www.exogeni.net