iecon amjad optimal planning and operatoin management of a ship electrical power system with ess

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

(aam@et.aau.dk)

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

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

System Overview

4IECON 2016

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

5IECON 2016

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

6IECON 2016

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

7IECON 2016

,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

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

(¢) ,

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

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

(%)

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. Guerreroaam@et.aau.dk

The 42nd Annual Conference of IEEE Industrial Electronics Society