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Optimal Planning and Operation
Management of a Ship Electrical Power
System with Energy Storage System
Amjad Anvari-Moghad...
Outline
2
Introduction
o Shipboard Microgrids
o Key Topics
System Overview
o Optimal planning and economic dispatch of a s...
Shipboard Microgrids
3IECON 2016
Maritime
Vessels
Efficiency &
Emissions
Electric Propulsion
Fuel Cells
Gas Turbines
Renew...
System Overview
4IECON 2016
DC
DC
AC
DC
EconomicPowerDispatch
Energy Storage System
Drilling
Drive
Azimuth
Thruster
Electr...
Electric Layout
5IECON 2016
Shipboard electric power plant
, , ,
( ) ;min max
DG i DG i DG i
P P t P i N   
 2
1 1, ...
Chronological Load Curve
6IECON 2016
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80
6
7
8
9
10
11
12
13
14
15
Time (minu...
Optimal Design and Operation
7IECON 2016
 ,max ,max
,max ,max
( )
ESS ESS
i E ESS P ESS
t T i N
Min OC t C E C P
 
 ...
Simulation Results
8IECON 2016
(a) Plant #1- DG 1&2 (b) Plant #2- DG 3&4 (C) Plant #3- DG 5&6
Economic dispatch of DGs (in...
Optimal operation of ESS
9IECON 2016
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(%)...
Conclusion
10
• Compared to the conventional approaches, the proposed method:
 addressed the question of how much energy ...
Thank You
for
Your Attention
Amjad Anvari-Moghaddam, Tomislav Dragicevic, Lexuan Meng, Bo Sun, and Josep M.
Guerrero
aam@e...
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IECON Amjad Optimal planning and operatoin Management of a ship Electrical Power System with ESS

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IECON Amjad Optimal planning and operatoin Management of a ship Electrical Power System with ESS

  1. 1. 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 EnergyTechnology,Aalborg University (aam@et.aau.dk)
  2. 2. Outline 2 Introduction o Shipboard Microgrids o Key Topics System Overview o Optimal planning and economic dispatch of a shipboard power system Test Scenario and Results Conclusion IECON 2016
  3. 3. Shipboard Microgrids 3IECON 2016 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
  4. 4. System Overview 4IECON 2016 DC DC AC DC EconomicPowerDispatch Energy Storage System Drilling Drive Azimuth Thruster Electric Power Plant DC Load AC Load System Load Mission Profile Shipboard Section Plant Configuration Units Specifications
  5. 5. Electric Layout 5IECON 2016 Shipboard electric power plant , , , ( ) ;min max DG i DG i DG i P 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 4 4 4 4 2 4 4 4 4 3 1 4 4 4 4 4 4 44 2 4 4 4 4 4 4 4 43  1 , , ( ) ( ) ( ) ( ) /ESS ESS ESS ch ch ESS dch dch E t E t P t T P t T            0 0 1 0 , ,max , ,max ,max ,max ,max ,max ( ) ( ) ( ) ( ) ( ) ESS ch ch ESS ESS dch dch ESS ESS ESS ch dch ESS P t P u t P t P u t E t E P P P            AC Side DC Side
  6. 6. Chronological Load Curve 6IECON 2016 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 6 7 8 9 10 11 12 13 14 15 Time (minutes) Power[MW] Total Load Measured Load Average 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 Dt p dt P j T j j M     
  7. 7. Optimal Design and Operation 7IECON 2016  ,max ,max ,max ,max ( ) ESS ESS i E ESS P ESS t T i N Min OC t C E C P              , , , ( ) ( ) ( ) ( ) ( ) ;DG i ESS dch ESS ch D OL i N P t P t P t P t P t t T        • Costs for installing ESS based on flywheel technology: 1600$/kWh and 600$/kW.
  8. 8. Simulation Results 8IECON 2016 (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 (¢) , min DG i P (MW) , max DG i P (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
  9. 9. Optimal operation of ESS 9IECON 2016 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(%) Demand&ESSOutputPower(MW) 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.
  10. 10. 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
  11. 11. Thank You for Your Attention Amjad Anvari-Moghaddam, Tomislav Dragicevic, Lexuan Meng, Bo Sun, and Josep M. Guerrero aam@et.aau.dk The 42nd Annual Conference of IEEE Industrial Electronics Society

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