Electrical Engineering DepartmentReliability Assessment of Power Systems EE-

527Term Paper Presentation

Title: RELIABILITY ASSESSMENT OF A WIND-POWER

SYSTEM WITH INTEGRATED ENERGY STORAGE

Supervisor: Dr. M. AlMuhaini

By:Ibrahem M. Hussein

G201405220

May-2015

• Introduction. - Motivation. - Related Work. - Problem Statement. • Problem Formulation. - System Description. - Analysis Flow Chart. • Simulation and Analysis Results. - Four topologies. • Conclusion. - Comparison - Recommendations and improvements.

Outline

Motivation

One man said - in the period from 1962 to 1986 – that “ The stone age did not end for lack of stone, and the oil age will end long before the worlds runs out of oil”. This is the Saudi Arabia minister of oil and minerals resources.

•Due to environmental and energy resources issues RE

• WE is one of those fastest growing RE resources.

• Global annual installed wind power capacity between 1997 and 2014 is about 369553 MW [1].

•Many countries prompt RE to be the main source of power CEI Sustain on RE including WE for 75 day on RE including WE.

Related Work

Problem Statement

• In this paper, the effect of integration of WTG corroborating storage unit will be simulated using Monte Carlo simulation method for one year chronological sampled data for wind generated power and load in different topologies ( four cases in PF)

• Specified load point from Bonneville Power Administration (BPA) transmission and distribution electrical network will be taken into account.• The contribution to this paper are to consider an important

constrains they real available in real life such as :

Contribute to reliability issues in planning process : A wide comparison in term of availability versus the BTS along with changing the WTG capacity allow us to select the required availability lever, battery size and WTG size appropriate for system design (Performing sensitivity analysis ).

Problem Formulation

• SLD:

WTG

Battery Banks

Load bus

Wind Speed

Loads

Reliability Indices G

Grid connection

Battery efficiency, charging rate . vanadium redox flow battery technology [1]

[1]: http://www.redtenergy.com/products#mw (Accessed on May 2015)

Problem Formulation

• Analysis Flow Chart:

Perform sensitivity analysis

Simulation Start

BPA data

WTG+ST WTG+Grid WTG+ST+Grid

Simulate the data with load, get the indices

Compare results

Grid

Impose random outages

Availability

AIDIAIFI

WTSST size

Simulation and Analysis ResultsA. Grid Connected Load

The inverse transform method depends on the failure rate per year and repair rate per hours

(4)

Simulation and Analysis ResultsA. Grid Connected Load

(4)

0 1000 2000 3000 4000 5000 6000 70000

5

10

15

20

25

30

Time in Hours

Load d

em

and in K

W

CaseBattery size

[KWh]Availability

AIFI [f/y]

AIDI [hours]

A - 0.9982 7 12.833

Simulation and Analysis ResultsB. WTG with Storage

(4)

1000 2000 3000 4000 5000 6000 7000 8000 9000 100000.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Battery Size in KWh

Availability

50 KW WTG

100 KW WTG

150 KW WTG

200 KW WTG

250 KW WTG

500 KW WTG

Simulation and Analysis ResultsB. WTG with Storage

(4)

0 1000 2000 3000 4000 5000 6000 7000 80000

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

Time in hours

Batt

ery

Capacity in K

Wh WTS=50 KW

115 hours

Availability

AIDIAIFI

Depends on

planner !!

Simulation and Analysis ResultsC. WTG Without Storage and Combined with Grid

•Is the WTG can assess the system reliability level ? Availability

AIDIAIFI

Simulation and Analysis ResultsC. WTG Without Storage and Combined with Grid

0

10

20

30

40

50

60

11000 11050 11100 11150 11200 11250 11300

GRID LOAD WTG

Po

we

r in

KW

Time in Hours

Simulation and Analysis ResultsC. WTG Without Storage and Combined with Grid

CaseBattery size

[KWh]Availability AIFI [f/y]

AIDI [hours]

A - 0.9982 7 12.833

C - 0.9985 6 10.5

Case C Case A

Simulation and Analysis ResultsD. WTG with Storage Combined with Grid

WTG

Battery Banks

Load bus

Wind Speed

Loads

Reliability Indices G

Grid connection

Let us discuss this case !

•What about the reliability level ? It’s also depends on planner

Availability

AIDIAIFI

Simulation and Analysis ResultsD. WTG with Storage Combined with Grid WTG

Battery Banks

Load bus

Wind Speed

Loads

Reliability Indices G

Grid connection

1000 2000 3000 4000 5000 6000 7000 8000 9000 100000.975

0.98

0.985

0.99

0.995

1

1.005

X: 7000Y: 1

Battery Size in KWh

Ava

ilabi

lity

WTS 50KW

WTS 100KWWTS 150KW

WTS 200KW

WTS 250KW

WTS 300KW

WTS 350KW

WTS 400KWWTS 450KW

WTS 500KW

CaseBattery size

[KWh]Availability

D 6000 0.9998

Oversize !

Simulation and Analysis ResultsD. WTG with Storage Combined with Grid

1000 2000 3000 4000 5000 6000 7000 8000 9000 100001

1.5

2

2.5

3

3.5

4

4.5

5

5.5

6

Battery Capacity in KWh

AIF

I per

yea

r

50 KW WTS

1000 2000 3000 4000 5000 6000 7000 8000 9000 100000

2

4

6

8

10

12

14

Battery Capacity in KWh

AIDI

in H

ours

50 KW WTS

AIFI AIDICase

Battery size [KWh]

AIFI [f/y]

AIDI [hours]

D 6000 1 1.5Oversize !

ConclusionSummary

CaseBattery size

[KWh]Availability AIFI [f/y]

AIDI [hours]

A - 0.9982 7 12.833

B 6000 0.3497 268 4682

C - 0.9985 6 10.5

D 6000 0.9998 1 1.5

Recommendation for increasing the reliability level, Modularity ! As future Work, Integrate an ARMA model to this work and perform the analysis as well.

Results Summary :

Video !

References [1] Global Wind Energy Council, Global Wind Statistics 2014, pp. 3-4. http://spectrum.ieee.org/energywise/energy/renewables/costa-rica-runs-on-renewables-for-75-days (Accessed on April 2015). • [2] Jiang Cheng, Zhang Jianhua and Yu Lei, “Reliability probability evaluation of wind turbine based on Monte-Carlo simulation,” IEEE CICED Conf, Sep 5-6, pp. 1-4, 2012.•[3] Bagen and Roy Billinton , “Impact of energy storage on power system reliability performance,” IEEE Saskatoon Conf., 1-4 May 2005. pp 494-497, May 2005.• [4] Xinwei Wang, Jianhua Zhang, Cheng Jiang, Lei Yu, Dexian Liu and Yunkai Weng, “Reliability Assessment of Wind Farm Active Power Based on Sequential Monte-Carlo Method,” IJEE, vol.3 no.4, pp. 122-129, Aug 2013.•[5] Billinton, R, Bagen and Cui, Y., “Reliability evaluation of small stand-alone wind energy conversion systems using a time series simulation model,” IEE proceeding. vol. 150, no. 1, Jan 2003.•[6] Rajesh Karki, Po Hu and Roy Billinton, “A Simplified Wind Power Generation Model for Reliability Evaluation,” IEEE Trans. Energy Conv., vol.21, no.2, pp.553-540, June. 2006.•[7] R. Billinton and A. A. Chowdhury, “Incorporation of wind energy conversion systems in conventional generation capacity adequacy assessment”, IEE Proceedings—C, Vol. 139, no. 1, January, 1992, pp. 47-56. •[8] A. J. M. van Wijk, N. Halberg, and W. C. Turkenburg, “Capacity credit of wind power in the Netherlands”, Electric Power Systems Research, vol. 23, 1992, pp. 189-200. •[9] to [15], included in the paper.

Thank You !