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Nicholas Batt, Ecoult: Hampton Project - Utilising storage technologies to smooth ramp rates,...

Date post: 27-Jun-2015
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Nicholas Batt, Electrical Engineer, Ecoult delivered this presentation at 2013 Australian Wind Energy Conference. The event gave conference attendees key insights into how the new Abbott Government may impact future developments in the industry. The conference has a long-standing history of bring together key policy stakeholders, government representatives, project developers, energy companies and regulators. For more information about the annual event, please visit the conference website: https://www.informa.com.au/windenergyconference.
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Nicholas Batt Utilising Storage Technologies to Smooth Ramp Rates, Moderate Peaks and Troughs in Wind Output and Variability
Transcript
Page 1: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Nicholas Batt

Utilising Storage Technologies to Smooth Ramp

Rates, Moderate Peaks and Troughs in Wind

Output and Variability

Page 2: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Separator

Pb PbO2

Lead-Acid Cell

+ -

Separator

PbO2 Carbon Electrode

Ultracapacitor

- +

i i1

i2 + -

UltraBattery® Technology

Page 3: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

New Lead-Acid

Market

PSOC

UltraBattery

1881

0%

100%

80%

20%

1960 1980 Today

The New Dimension in a Lead Acid World

Market Size:

$15B

Starter Battery

State of Charge

Market Size:

$3.5B

Motive Battery

Market Size:

$6B

Standby Battery

Page 4: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

PSoC Throughput Testing

50%

60%

70%

80%

90%

100%

110%

120%

130%

140%

150%

0 5000 10000 15000 20000 25000 30000 35000 40000

Axis

Title

Sandia Test Cycles

UltraBattery Regulation Services PSoC Throughput Testing

Standard VRLA

Sandia UB 12 UltraBattery

Li-ion (Li-FePO4)

Ecoult 95-7 Test

EPM UB12

EPM 31UB4000

$/Life

Throughput

Page 5: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

*Courtesy of Furukawa Battery

Peak Shifting*

Load Levelling* Reg. Services

Wind Smoothing Solar Smooth. & Shift.

Diesel Hybrid Support

Page 6: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Diesel Hybrid Support

Solar Smoothing

*Courtesy of Furukawa Battery

Load Levelling*

Wind Smoothing

Reg. Services

Peak Shifting* Solar Shifting

Hours Seconds

Page 7: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Wind Smoothing

Page 8: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Power Smoothing –Containerized VRLA UltraBattery Cells (2 x CUBS)

1MW DC Converter with Power Regulator

1MW Grid-Tied Inverter

BESS Master

Controller

BES SYSTEM

SUPPLIED BY

EPM/ECOULT

660 kW WIND TURBINE

11 kV

Of Hampton Wind Farm Energy Storage System

Page 9: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

-30

-20

-10

0

10

20

30

40

0

100

200

300

400

500

600

700

0:00 2:24 4:48 7:12 9:36 12:00 14:24 16:48 19:12 21:36 0:00

kW

time (hh:mm)

storage.powerIn storage.powerOut storage.targetPowerOut

5 min Ramp rate In 5 min ramp rate out

5 min Ramp rate Chart 2010-12-26_to_2010-12-27

Ra

mp

ra

te k

W p

er

5 m

in

Of Wind Output and Ramp Rate Reduction with Fixed-Parameter Controller Algorithm

Page 10: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Source & System State

Offline Machine Learning Fitting Engine

(Compute intensive)

Real Time Machine Learning Execution Engine

(Fast)

Controller Algorithm

Objectives

Costs

Electrical limits

Physical constraints

History Real Time

Equation Parameters

Variable PI Coefficients

-50

0

50

100

150

200

0:00 4:48 9:36 14:24 19:12 0:00

kW

time (hh:mm)

storage.powerIn

storage.powerOut

storage.targetPowerOut

Of Wind Smoothing Algorithm Development System

Page 11: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

20

25

30

35

40

45

50

55

60

65

70

-20

0

20

40

60

80

100

120

140

160

180

22/03/2011 7:12 22/03/2011 7:19 22/03/2011 7:26 22/03/2011 7:33 22/03/2011 7:40 22/03/2011 7:48 22/03/2011 7:55

SO

C (

%)

kW

or

kW

/5m

in

20

25

30

35

40

45

50

55

60

65

70

-20

0

20

40

60

80

100

120

140

160

180

22/03/2011 7:1222/03/2011 7:1922/03/2011 7:2622/03/2011 7:3322/03/2011 7:4022/03/2011 7:4822/03/2011 7:55

SO

C (

%)

kW

or

kW

/5m

in

Wind

Output

RampRate

Storage

Anticipates wind

rise – lowers SOC

Reduces 5 min

ramp rate

Reduces HF noise

in output

Standard fixed parameter PI algorithm Adaptive PI algorithm

Optimised against ramp rate only Very short term forecasting

Advanced Algorithm Results

Page 12: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Of Wind Output and Ramp Rate Reduction

Page 13: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Regulation Services

Page 14: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

PJM Request and BESS Response

Po

we

r (M

W)

N

eg

ative

fo

r C

ha

rge

& P

osi

tive

fo

r D

isc

ha

rge

3:00:00 6:00:00 9:00:00 12:00:00 15:00:00

PJM Request (MV) BESS Response(MV) 4

3

2

1

0

-1

-2

-4

-3

Accuracy of Signal

Page 15: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

String SOC

SO

C

60

55

50

45

40

String 1 (%) String 2 (%) String 3 (%) String 4 (%)

3:00:00 6:00:00 9:00:00 12:00:00 15:00:00

State of Charge

Page 16: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Solar Smoothing & Shifting/Firming

Page 17: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

2 Clear Days & 1 Cloudy Day

4 Hour Window

15 Minute Window

PV Output

Battery Output

System Output

Cloudy Day

Page 18: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Clear Day Blue – PV

Yellow – Battery

Red – Primary Meter

Magnified

Cloudy Day - Altocumulus

Stored PV Energy

Firm PM Energy Output Firm AM Output

Manual Shifting

Firm PM Energy Output

Automated Shifting Service Starts

Firmed PV - Clear Days Firmed PV - Cloudy

Days with Simultaneous

Smoothing

Refined Automated Shifting Service Starts

Stored PV Energy

PV Output

Battery Output

System Output

Page 19: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Load Levelling Load Levelling* Peak Shifting* Wind Smoothing Solar Smooth. & Shift. Diesel Hybrid Support Reg. Services

MW kW *Courtesy of Furukawa Battery

Page 20: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

large small

Page 21: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

MW kW

Page 22: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’
Page 23: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Ecoult &

Flexible Storage

Solutions With

Low $/Life

Throughput

Recyclable Safe

Globally

Successful

Australian

Technology

The Energy Storage Solution of Choice

Page 24: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

The Energy Storage Solution of Choice

Nicholas Batt, Electrical Engineer

www.ecoult.com

Page 25: Nicholas Batt, Ecoult: Hampton Project  - Utilising storage technologies to smooth ramp rates, moderate peaks and troughs in wind output and variability’

Nicholas Batt

Utilising Storage Technologies to Smooth Ramp

Rates, Moderate Peaks and Troughs in Wind

Output and Variability


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