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1
ELECTRIC POWER GRID INTERDICITION
Javier Salmeron and Kevin Wood, Naval Postgraduate School
Ross Baldick, University of Texas at Austin
Sponsored by DoJ, Office of Domestic Preparedness
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Purpose
In this presentation we will...
• Show the importance of analyzing vulnerabilities of electric
power systems to terrorist attacks
• Present our models, and exact and heuristic algorithms to
carry out this analysis
• Present results on standard IEEE Reliability Test Networks
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“One can hardly imagine a target more ideal than the U.S. domestic
energy” (A.B. and L.H. Lovins, 1983)
“Any U.S. region could suffer lasting and widespread blackouts if three or
more substations were targeted.” (OTA, 1990)
“The U.S. is at, or is fast approaching, a crisis stage with respect to
reliability of transmission grids.” (NERC, 2001)
“The U.S. electric power systems must clearly be made more resilient to
terrorist attack.” (Committee on Science and Technology for Countering
Terrorism, NRC, 2002)
A Long-Recognized Issue (I)
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(On Ahmed Ressam) “They were specifically trained to attack critical
infrastructure, including electric power plants.” (CNN, 2002)
“And the threat isn't simply academic. U.S. occupation forces in
Afghanistan discovered Al Qaeda documentation about the facility that
controls power distribution for the eastern U.S., fueling fears that an attack
on the power grid may one day become a reality.” (Energy Pulse, 2003)
“Blue Cascades” project (simulated terrorist attack on the Pacific
Northwest's power grid). The study showed that such an attack, if successful,
could wreak havoc on the nation's economy, shutting down power and
productivity in a domino effect that would last weeks. (Energy Pulse, 2003)
A Long-Recognized Issue (II)
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Terrorist Threat
Potential targets:
Generating plants
Transmission and distribution lines
Substations
Easy disruption + Widespread damage + Difficult recovery
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• Assumes Information Transparency: Same information is available to both sides
• Uses optimization to assess worst-case disruptions
• Goal:
To provide insight on physical vulnerabilities and protective plans that proactively hedge against disruption caused by terrorist attacks
Our Approach
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In order to better defend the electric grid it is valuable to understand how to attack it!
- Optimal power flow model (minimizing load shedding)
- Interdiction model (maximize disruption)
Additional features of the problem are:
- Time scale: Very short-, short-, medium- and long-term
- Customer types; ability to “share the pain”
- Uncertainty about terrorist resources
- Assumptions on protection resources
Mathematical Analysis of the Problem
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, , ,min
Gen Line
Gen Shedic ic
g i cP P S
c c
Geng i cP SDC-OPF:
i: bus, l: line, g: generator, c: customer sector
PLine, PGen: power (MW) S: power shed : bus phase
Power Flow Model (DC Approx.)
( ) ( )( ),Linel o dl l lB P l L
| ( ) | ( )
( ),i
i cg G l o l i l d l i c
d
Gen Line Lineg l l i cP P P S i
,Line Linel lP P Line
lP l L
,Gen Geng gP P Gen
gP g G
0 ,i cd i cS ,i c
s.t.
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, ,max ( )
Gen Line BusG
Gen Line Busδ ,δ ,δI-DC-OPF:
* * *i
Line Busl
Gen Line Busg l i
i I g G L i Ii
l
M M M M
Gengδ δ δ
All {0,1}δ
, , ,( ) min
Gen LineP P S
Gen Shedic ic
g i c
G c c
Geng i cP SGen Line Busδ ,δ ,δ
Line Linel lP P Line
lP
Etc...
Where:
DC-OPF
Interdiction Model
s.t.
( ) ( )( )Linel o l d llB P
after
interdiction
(1 ) (1 ),Line Linel l δ δ
( ) ( )(1 )(1 )Bus Buso l d l δ δ(1 )Line
l δ
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Solve the DC-OPF Power Flow Model given the
current grid configurationBased on the current and previous flow patterns, assign a “Value” (V) to each interdictable asset Interdict the assets that
maximize “Total Value”
Heuristic
* * * *, ,
, , , ,
L I S,
maxGen Line
Bus Sub
Gen t Line t Gen tGen Line Gen Subg l i s
Sub tg l i s
g l i s
V V V V
δ δδ δ
* *
, ' , '
, ' , '
| |ˆ ˆ1 1
1, 1, ....
ˆ ˆs.t. ( ) ( ) ...... 1,
Line t Bus til
Line Bus Bus Subl i
Line t Bus t
i s
Line Busll i
l ii t t
L I
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Exact Linearization of the Modelmax min
( ) 0s.t.
0
,P
c
g
P
P
P
12 1 2( )(1 )(1 )a bP B 12 1 2
12 1 2
( ) ( ) ( )
( ) ( ) ( )
a b
a b
B
B
P
P
MM
(1 )
0
0
v
v
v v
v
max max
s.t. A ( )
b
P
b
c
, ,MIP : max
A
s.t.
{0,1}
v
vb b
c
B v d
v
C D
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Salmeron, Wood and Baldick (2004), IEEE Transactions on Power Systems
Interdiction resource: 6 terrorists
Line x1
Single transformer x2
Bus or substation x3
Total load: 2,850 MW
Load shedding: 1,258 MW
Load shedding: 1,373 MW
IEEE Reliability Test System 96-99
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Salmeron, Wood and Baldick (2004), IEEE Transactions on Power Systems
Load: 5,700 MW12 terrorists
Shedding:
2,516 MW
IEEE Reliability Test System 96-99
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$ ($ / )t
MWh MW dt
t(Attack)
MW shedding
One to several days
No repairDays to one week
Lines Trafos with spares
>1 months
System Restoration
Weeks
Slow repair
7683YESSubstations
N/AN/ANOGenerators
3603YESBuses
7682YESTransformers
N/AN/ANOLines (underground)
721YESLines (overhead)
Outage Duration (h)
Resources M (no. of
terrorists)
InterdictableGrid Component
E.g.:
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Salmeron, Wood and Baldick (2004), IEEE Transactions on Power Systems
Total Load: 2,850 MW
Time Power Energy
Period Shed (MW) Shed (MWh)
0-72 h 1,373 98,856
Plan
Total: 98,856 MWh
2
t
MW
+72hAttack
0-72 h 902 64,944
72-768 h 708 492,768
Total: 557,712 MWh
3 3+768h
IEEE Reliability Test System 96-99
SubstationProtected
SubstationProtected
0-360 h 756 272,160
Total: 272,160 MWh
4+360h
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Results for the Linearized MIP
Case/Algorithm Directly Interdicted Components TimePeriod
PowerShed (MW)
EnergyShed (MWh)
RTS-Two-Areas (M=24)HEURISTIC
Buses: 116, 118, 215, 218Substations: Sub-A1, Sub-A2, Sub-B1, Sub-
B2
0-360 h 2,693 969,480
360-768 h 1,416 577,728
Total: 1,547,208
RTS-Two-Areas (M=24)
MIP
Lines: A30, A33-2Transformers: A7, B7
Buses: 115, 118, 215, 218Substations: Sub-A2, Sub-B2
0-72 h 3,164 227,808
72-360 h 2,716 782,208
360-720 h 1,416 577,728
Total: 1,587,744
Case/Algorithm Directly Interdicted Components TimePeriod
PowerShed (MW)
EnergyShed
(MWh)
RTS-Two-Areas (M=12)HEURISTIC
Substations: Sub-A1, Sub-A2, Sub-B1, Sub-B2
0-768 1,416 1,087,488
Total: 1,087,488
RTS-Two-Areas (M=12)
MIP
Lines: A23, B23Transformers: A7, B7
Substations: Sub-A2, Sub-B2
0-72 h 1,804 129,888
72-768 h 1,416 985,536
Total: 1,115,424