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TRANSCRIPT
Optimal Planning and Operation Management of a Ship Electrical
Power System with Energy Storage System
Amjad Anvari-Moghaddam, Tomislav Dragicevic, Lexuan Meng, Bo Sun, and Josep M. Guerrero
Department of Energy Technology, Aalborg University
Outline
2
Introductiono Shipboard Microgridso Key Topics
System Overviewo Optimal planning and economic dispatch of a shipboard
power system
Test Scenario and Results
Conclusion
IECON 2016
Shipboard Microgrids
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Maritime Vessels
Efficiency & Emissions
Electric Propulsion
Fuel Cells
Gas Turbines
Renewables
Reliability & Survivability
Redundant Design
New Architectures
Energy Storages
Control & Automation Energy Management
Generation Scheduling
System Overview
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DCDC
ACDC
Econ
omic
Pow
er D
ispat
ch
Energy Storage System
Drilling Drive
AzimuthThruster
Electric Power Plant
DC Load
AC Load
System Load
Mission Profile
Shipboard Section
Plant Configuration
Units Specifications
Electric Layout
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Shipboard electric power plant
, , ,( ) ;min maxDG i DG i DG iP P t P i N
2 1 1, ,( ) ( ) ( ) ( ) ( ( )) ( ) ( )offi
i
i i
t
i oi oi G i oi G i i si si i i
FC SUSDC
OC t P t P t u t e u t u t
1 , ,( ) ( ) ( ) ( ) /ESS ESS ESS ch ch ESS dch dchE t E t P t T P t T
00 10
, ,max
, ,max
,max
,max ,max ,max
( ) ( )( ) ( )
( )
ESS ch ch ESS
ESS dch dch ESS
ESS ESS
ch dch ESS
P t P u tP t P u tE t E
P P P
AC Side
DC Side
Chronological Load Curve
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0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 806
7
8
9
10
11
12
13
14
15
Time (minutes)
Pow
er [M
W]
Total Load
Measured LoadAverage Demand
Case A
Case B
Case C
Case D
Electrical load demand of the drill-ship for several mission profiles: • Case A- normal DP & normal drilling; • Case B- heavy DP & normal drilling, • Case C- heavy DP & heavy drilling; • Case D- survival
1
1 2(t). ( ). ( ) ; , ,...,j
j
t
D Dtp dt P j T j j M
Optimal Design and Operation
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,max ,max,max ,max( )ESS ESSi E ESS P ESS
t T i NMin OC t C E C P
, , ,( ) ( ) ( ) ( ) ( ) ;DG i ESS dch ESS ch D OLi NP t P t P t P t P t t T
• Costs for installing ESS based on flywheel technology: 1600$/kWh and
600$/kW.
Simulation Results
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(a) Plant #1- DG 1&2 (b) Plant #2- DG 3&4 (C) Plant #3- DG 5&6
Economic dispatch of DGs (in MW) during 5-minute intervals (Ti) for the given load profile
DGi
αoi
(¢) βoi
(¢/kW) γoi
(¢/kW2) αsi
(¢) βsi
(¢) ,
minDG iP
(MW) ,
maxDG iP
(MW)
Plant #1 1 450 10 13.5 10 20 0 7 2 430 12 13.0 12 24 0 7
Plant #2 3 460 12 13.5 12 18 0 7 4 390 58 5.6 11 19 0 7
Plant #3 5 370 57 5.4 11 21 0 7 6 340 52 5.2 12 20 0 7
Optimal operation of ESS
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0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
-4
-2
0
2
4
6
8
10
12
14
16
1 3 5 7 9 11 13 15
SOC
(%)
Dem
and
& E
SS O
utpu
t Pow
er (M
W)
Time Intervals
Load P_ESS SOC
• During off-peak times (e.g., 0-15 min. in normal DP and drilling mode), the storage unit mainly operates in charging mode to increase the back-up power for critical periods.
• During heavy DP or drilling times, the ESS is switched into discharge mode and shaves the peaks off of the load giving the DGs smoother operation and better performance.
• Optimal values for PESS,max and EESS,max were found to be 1.407 MW and 2.579 MWh, respectively.
Conclusion
10
• Compared to the conventional approaches, the proposed method:
addressed the question of how much energy storage to
install,
provided insight into the scheduling of different electric
power plants in a drilling vessel thorough various loading
levels and mission profiles.
IECON 2016
Thank Youfor
Your AttentionAmjad Anvari-Moghaddam, Tomislav Dragicevic, Lexuan Meng, Bo Sun, and
Josep M. [email protected]
The 42nd Annual Conference of IEEE Industrial Electronics Society