operation and sizing of energy storage for wind power plants in a market system magnus korpås...

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Operation and sizing of energy storage for wind power plants in a market system s Korpås gian University of Science and Technology (NTNU) s: se energy storage for grid-connected wind farms? uling and operation of the energy storage ts from a simulation study al project financed by Statkraft SF and rwegian Research Councile

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Page 1: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Operation and sizing of energy storage for wind power plants in a market system

Magnus KorpåsNorwegian University of Science and Technology (NTNU)

Contents:• Why use energy storage for grid-connected wind farms?• Scheduling and operation of the energy storage• Results from a simulation study

Doctoral project financed by Statkraft SF and the Norwegian Research Councile

Page 2: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Local energy storage can increase thepenetration of wind power

v

local load

external grid

dump load (possible)energystorage

transmissionline

time

local load

transmission line capacity

powe

r

Page 3: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Local energy storage can increase thepenetration of wind power

v

local load

external grid

dump load (possible)energystorage

transmissionline

time

wind power

powe

r

Page 4: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Local energy storage can increase thepenetration of wind power

v

local load

external grid

dump load (possible)energystorage

transmissionline

time

powe

r

exported power

Page 5: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Operation strategy in a market system

19:00 24:00 01:00 02:00 23:00

Measure storage level

Read wind, load andprice forecasts

Determine the hourly trading of electricity which maximizes the expected profit over the scheduling period

Operate energy storage in order to follow the production

plan for each hour

Page 6: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

The operation strategy is demonstrated in a simulation study

v

local load

external grid

dump loadenergystorage

transmissionline

Transmission line capacity 4.0 MWMean local load 2.6 MWWind power capacity 10.0 MWAverage wind speed 8.2 m/sRMSE of wind forecasting 2.6 m/sEnergy storage efficiency 75%Power capacity of storage 4 - 8 MWEnergy capacity of storage 50 - 150 MWh

Page 7: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Purchase price in the regulating power market.Purchase and sales price in the spot market.Sales price in the regulating power market.

Electricity price profile used in the simulation study

5 10 15 2010

20

30

40

50

time [hours]

elec

tric

ity

pric

e [$

/MW

h]

Page 8: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

wind powerforecasted wind powerpower exportscheduled power export

Demonstration of the daily operation

storage levelestimated storage level

30 40 50 60 700

20

40

60

time [hours]

stor

age

leve

l [M

Wh]

30 40 50 60 700

5

10

pow

er [

MW

]

Page 9: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

The impact of storage sizing on yearly revenue

150100

50

310

320

330

340

350

4

6

8

year

ly r

even

ue

[100

0 $]

Power

cap

acity

[MW

]

Energy capacity [MWh]

Page 10: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

The system manages to follow the scheduling plan

50100

150

0

2

4

6

8

10

12

8

6

4

Dev

iati

on

fro

m p

rod

uct

ion

pla

n [

%]

Power

cap

acity

[MW

]

Energy capacity [MWh]

Page 11: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

System performance is sensitive to the wind forecasting error

perfect forecasting persistence method

200

250

300

350

400

RMSE of wind velocity [m/s]

reve

nue

[100

0 $]

0 m/s 2.57 m/s

3.16 m/s

4.84 m/s

Page 12: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

System performance is sensitive to the wind forecasting error

improved schedulingmethod

200

250

300

350

400

RMSE of wind velocity [m/s]

reve

nue

[100

0 $]

0 m/s 2.57 m/s

3.16 m/s

4.84 m/s

Page 13: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

System performance is sensitive to the wind forecasting error

scheduling at 23:00

200

250

300

350

400

RMSE of wind velocity [m/s]

reve

nue

[100

0 $]

0 m/s 2.57 m/s

3.16 m/s

4.84 m/s

Page 14: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Conclusions and further work

With a properly sized energy storage, owners of wind powerplants can take advantage of electricity price variations

The operation strategy shows good performance,but is sensitive to the wind forecasting accuracy

The simulation method is suitable for any energy storage device and intermittent energy source

System simulation and economic analysis of relevant siteswill be carried out

Page 15: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Only a small amount of power is dumped due to overproduction

50100

150

0

1

2

3

4

5

4

6

8

Am

ou

nt

of

du

mp

ed w

ind

po

wer

[%

]

Power

cap

acity

[MW

]

Energy capacity [MWh]

Page 16: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Cost comparison

Alternative Total yearly income

wind + storage 1.1 Mill $

wind + new grid 1.0 Mill $

wind + downregulation 0.9 Mill $

Cost of Regenesys pilot plant 20 Mill.$Power capacity 10 MW Energy capacity 120 MWhEfficiency 70 %

Page 17: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Several promising fuel cell consepts exists for energy storage

Hydrogen-Oxygen

2 H2 + O2 2 H2O

efficiency 50-60 %

Hydrogen-Bromine

H2 + 2 Br 2 HBr

efficiency 70-80 %

Hydrogen-Chlorine

H2 + Cl2 2 HCl

efficiency 70-80 %

Redox flow cells

Regenesys, Vanadium and more

efficiency 70-80 %

Page 18: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Benefits of energy storage for a grid-connected wind farm

• increase the penetration of wind power

• utilize extisting grid capacity

• power smoothing

• sell electricity at peak hours, charge at off-peak hours

• voltage and frequency control

• improve reliability (line faults, generator outtakes etc.)

Page 19: Operation and sizing of energy storage for wind power plants in a market system Magnus Korpås Norwegian University of Science and Technology (NTNU) Contents:

Demonstration of the daily operation

30 40 50 60 700

2

4

6

8

10

time [hours]

real

pow

er [

MW

]

wind powerforecasted wind powerpower exportscheduled power export

30 40 50 60 700

20

40

60

time [hours]

stor

age

leve

l [M

Wh]

storage levelestimated storage level