Sizing optimization tool for Wind/Photovoltaic/Battery plant ...yeniturkiye.com/Conference2016/Present/2_1_5_2__Nabiha_Brahmi.pdf · The output power of the generator is determined

1

Sizing optimization tool for Wind/Photovoltaic/Battery

plant considering potentials assessment and load profile

Dr. Nabiha BRAHMI, Prof. Maher CHAABENEUniversity of Sfax, Tunisia

Introduction

System configuration and modeling

Sizing algorithm

Simulation results

Conclusions

1

2

3

4

IntroductionSystem Configuration and modeling

Sizing Algorithm Simulation results

Conclusions

5

Plan

2



Conclusions

3

Our goal is to optimize the sizing of a standalone hybrid system.

•Fuel prices have raised.

•Fuel will break off in the following few decades.•Plants become decentralized.

Covering the energy demand of typical consumers in remote

area on the basis of maximizing the renewable energies

exploitation

Introduction

Introduction


Sizing algorithm

Simulation results

Conclusions

1

2

3

4



Conclusions

5

4

Plan



Conclusions

System configuration

PMSG

Electrical load

Block diagram of a hybrid PV/Wind generators and storage system

Renewablegenerators

Battery bank

DC bus AC bus

Tank

Loads

5

mP

eP

PMSG

m

t

mP e

P

Where is the nominal power of the PMSG and presents the mechanical

power of the turbine. It is expressed by the following equation:

The output power of the generator is

determined as follows:

0.0140.87e m n

P P P

2 2

2

p

m

m

. .R .C .vP

m gear tG

18,4( )

2,14( , ) 0,73 13.2 ipC e

Where

nP

6



Conclusions

Wind generator model

mP



Conclusions

PV cells are combined in serie and parallel to form PV array.

ns : number of cells in series. np : number of module in parallel.

( )exp 1

pv pv s pv pv spv p ph p rs

s sh

q V I R V I RI n I n I

kTAn R

7

The equivalent circuit of PV cell is:

PV model



Conclusions

8

Introduction


Sizing algorithm

Simulation results

Conclusions

1

2

3

4

5

Plan



Conclusions

Sizing

approach

Estimation of

renewable potentials

Load demand

profile WECS

PV Array

Battery

Models baseApproach description

9

Optimal sizing of plant

components

Sizing Appraoch



Conclusions

10

( KWh / month / m²)

30

1000h

solar _ monthly

( G )E

hG

The monthly average of solar energy is given by:

Where is the global solar radiation provided by the National

Meteorological Institute (INM).

Solar potential



Conclusions

11

( KWh / month / m²)The monthly wind energy is expressed by:24 30

1000wind

wind _ monthly

( P )E

2 31 3

(1 3 ) (1 )2

wind airP I c

k

Where is the turbulence intensity, and are the two parameters

of the Weibull distrubution which is given by:

I k c

1

( )

( )k

kv

ck v

f v ec c

The corresponding cumulative distribution function is given by:

( )

( )kv

cF v e

Wind potential



Conclusions

12

Parameters estimation of Weibull :

Least squares method

Maximum likelihood method

Modified maximum likelihood method

Rayleigh distribution

(NRMSE) Normalized Root Mean Square error

k

c

Wind potential

Classified speed:

Meteorological

database

Selection

Approach

Algorithm initialization

1. Solar potential estimation

2. Wind potential estimation

3. Load profile

)

max( )1Sini_ 2 ( )

max( )1Sini_ 2 (

i

wind i

Ploadi

PPV mean PPV

Ploadi

Pwind mean P

0Difference

_ ini_

_ ini_

S =S 0.5

S 0.2

new PPV PPV

new Pwind PwindS

_ ini_

_ ini_

S =S 0.5

S 0.2

new PPV PPV

new Pwind PwindS

Calculation of the battery

capacity and of the tank

volume

End

_ ini_

_ ini_

S =S 0.5

S 0.2

new PPV PPV

new Pwind PwindS

13

( )Loss mean Need

tank maxV V

No

NoYes

Yes

Yes

No

14

d

bat max

Daut.EC

V DOD

60maxDOD DOD % Guarantee to protect the battery against excessive discharge



Conclusions

Battery Sizing

E

1r

2r

CbV

bI

E

15

3 6 excesstank

water

. EV

gH



Conclusions

Tank volume sizing

Introduction


Sizing algorithm

Simulation results

Conclusions

1

2

3

4



Conclusions

5

16

Plan



Conclusions

0 50 100 150 200 250 300 3500

1

2

3

4

5

6

7

8

9

10

Days

V(m/s)

Measured wind speed at height of

1 2 3 4 5 6 7 8 9 10 11 120

2

4

6

8

10

Month

Receiv

ed irr

adia

tion [

KW

h/m

²]

Daily monthly solar irradiation

17

12m

18

1 2 3 4 5 6 7 8 9 10 11 120

20

40

60

80

100

Month

Month

ly e

nerg

ies[K

Wh/m

²]

PPV

Wind

Renewable potentials in Sfax



Conclusions

19

Daily farm energetic consumption



Conclusions

0 5 10 15 2010

20

30

40

50

60

70

80

90

100

Hours

Pow

er(

Kw

h)

agriculture dairy farming rest of farmer

1 2 3 4 5 6 7 8 9 10 11 120

1000

2000

3000

4000

5000

6000

7000

8000

Month

Mon

thly

ene

rgie

s[K

Wh/

m²]

PPV Wind renewable Needs

Monthly generated and consumed energies

Following the achievement of iterations, the obtained rounded surfaces for PV

panels and wind blades are: 92

46

final_ppv

final_wind

S m²

S m²

20



Conclusions

1 2 3 4 5 6 7 8 9 10 11 12-2

-1.5

-1

-0.5

0

0.5

1

1.5x 10

6

Month

Mon

thly

ene

rgy[

KWh/

mon

th]

Difference between monthly renewable generations and load demand

21

12

1

( ( ) ( ))

0.005%12

Monthly

ienergy

Energy i Needs i

Balance



Conclusions

By computing the luck of energy during all the year, the plant needs a battery

bank of a capacity equal to . The obtained tank volume is . 1200Ah3700

tankV m



Conclusions

22

Introduction


Sizing algorithm

Simulation results

Conclusions

1

2

3

4

5

Plan



Conclusions

23

Optimal plant components sizes are computed thanks to an iterative approach based on the meeting of renewable generations to load profile supplying an autonomous agriculture farm

The sizing is based on the renewable potential, the generators models and the load profile.

A case study is considered in order to validate the obtained results.

Conclusions

24



Conclusions

Conclusions

Wind data, solar data and load data of an agriculture farm have been collected and studied.

Economical and feasible components of the hybrid power system have been selected so

that minimized system cost can be achieved.

Modeling of individual component has been done by using Matlab /Simulink.

Individual models have been combined to form the complete system.

Thank you

25

Documents

Sizing optimization tool for Wind/Photovoltaic/Battery plant ...yeniturkiye.com/Conference2016/Present/2_1_5_2__Nabiha_Brahmi.pdf · The output power of the generator is determined