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

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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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