Rifad Mubarak Bamatraf

(2206 100 081)

Pembimbing: Prof. Dr. Ir. Imam Robandi, MT

2

Sistem Rentan Gangguan

Gangguan menimbulkan osilasi dangangguan kestabilan

PSS [3-14]

Osilasi Interarea [5,6] FACTS [5-9]

Koordinasi Untuk Damping Optimal [5,6] CRPSO [19-20]

Nilai parameter PSS dan UPFC yang optimum.Perbandingan penalaan melalui PSS-UPFC dengan CRPSO,PSO, dan tanpa PSS-UPFC terhadap kestabilan sistem.

Gangguan pada sistem bersifat dinamik.

Beban pada sistem dianggap statik.

Sistem dimodelkan linier .

Letak PSS dan UPFC pada sistem ditetapkan.

Osilasi subsinkron diabaikan.

Pengaruh harmonik diabaikan.

3

4

START

Data Saluran, Pembangkit, dan

Parameter Mesin pada Sistem

Jawa Bali 500 kV

Proses Loadflow

Pemodelan Linear Sistem Jawa Bali 500 kV

State Space

Cek Controllability, Observability, dan

Stability

A

Koordinasi PSS dan Kontroller UPFC

menggunakan CRPSO

Plotting Output Sistem

Analisis

Kesimpulan

STOP

A

G

PSS

G

PSS

Cilegon

Bekasi

20

Bandung Maduracan

G

G

Ungaran

Krian

Cirata

Gresik

Muara TawarCibatu

G

G

Pedan Kediri

Grati

Paiton

Gandul

Kembangan

Cibinong

Cawang

Suralaya

PSS

PSS

PSS

PSS

G

PSS

2

1

143

19181617

15

4

911

9

12

13

810

6

5

7

Saguling

UPFC

5

refV

sT

K

A

A

1

tV fdEmaxRV

minRV

7

Governor merupakanpengendali yang berfungsiuntuk mengatur nilai torsi mekanik Tm yang menjadimasukan dari generator [10].

1

1

TgsKg

d

GSC

mT

Exciter berfungsi untuk mengaturtegangan, arus, dan faktor dayapada generator [4].

PSS menghasilkan komponen redaman tambahan melalui produksi torsi elektris yang sesuai dengan deviasi pada kecepatan rotor [3].

8

w

w

s

s

1 C

A

s

s

1

1

D

B

s

s

1

1STABK

wi sV

9

iii j

22ii

ii

n

i

iCDI1

1

10

Start

Inisialisasi konstanta

CRPSO pada PSS

dan UPFC

Perhitungan eigenvalue pada

sistem dengan PSS dan FACTS

Inisialisasi current position

dan velocity tiap partikel

Random

current position

Ya

Tidak

i=0

BA

0i

Partikel Terbaik Lokal

Partikel Terbaik

Global (i)=Partikel

Terbaik Global (i-1)

Partikel Terbaik Global

(i)=Partikel Terbaik

Lokal(i)

min CDI

partikel (i) < min

CDI partikel(i-1)

i < i maks

i=i+1Update Weight… Pers (3.11)

Update Position…Pers(3.10)

Update Velocity…Pers(3.13)

Ya

Tidak

BA

Ya

Tidak

C

Pers (2.99)

Pers (2.100)

Min CDI

Kpss & Kupfc=Current Position

Plot Output

Stop

C

11

PembangkitKPSS

PSO

Kpss

CRPSO

Suralaya 3.6193 4.2945

Muaratawar 40.2869 22.7627

Cirata 3.0721 3.0097

Saguling 11.0727 10.8756

Paiton 14.2550 17.7475

Grati 3.0015 3.1230

Gresik 30.9228 29.7099

Parameter PSO CRPSO

Kp1 1.3207 1.0905

Kp2 1.3849 3.0000

Ki1 0.0051 0.0091

Ki2 0.0028 0.0028

12

No PSS, No UPFC PSS -UPFC (PSO) PSS-UPFC (CRPSO)

-0.0779 ± 5.4777i -0.0700 ± 5.4830i -0.0650 ± 5.4850i

-0.1648 ± 4.8427i -0.1560 ± 4.8592i -0.1563 ± 4.8486i

-0.1183 ± 4.4690i -0.1181 ± 4.4723i -0.1199 ± 4.4740i

-0.0688 ± 4.0616i -0.0729 ± 4.0631i -0.0743 ± 4.0624i

-0.0282 ± 3.8923i -0.0283 ± 3.8924i -0.0284 ± 3.8927i

-0.0061 ± 0.0727i -0.0067 ± 0.0691i -0.0070 ± 0.0690i

-0.1395 ± 2.4238i -0.1398 ± 0.0105i -0.1397 ± 0.0106i

No PSS, No UPFC PSS-UPFC (PSO) PSS-UPFC (CRPSO)

-1.4051 + 0.1081i -1.3977 + 0.1054i -1.3973 + 0.1056i

-0.0124 + 0.0888i -0.0841 + 0.1102i -0.0779 + 0.1106i

-0.0094 + 0.1010i -0.0443 + 0.1251i -0.0464 + 0.0785i

-0.0061 + 0.0727i -0.0067 + 0.0691i -0.0074 + 0.0692i

-0.0092 + 0.1048i -0.0332 + 0.0716i -0.0334 + 0.0625i

No PSS, No UPFC PSS-UPFC (PSO) PSS-UPFC (CRPSO)

-0.1889 + 2.0064i -0.6067 + 2.2348i -0.6540 + 2.2319i

KRITIS(e+002)

LOKAL(e+002)

INTERAREA

13

PSS

Berbasis CRPSO

PSS dan UPFC

Berbasis CRPSO

-1.3970 + 0.1080i -1.3973 + 0.1056i

-0.0777 + 0.1106i -0.0779 + 0.1106i

-0.0464 + 0.0786i -0.0464 + 0.0785i

-0.0074 + 0.0690i -0.0074 + 0.0692i

-0.0336 + 0.0625i -0.0334 + 0.0625i

PSS

Berbasis CRPSO

PSS dan UPFC

Berbasis CRPSO

-0.6273 + 2.1958i -0.6540 + 2.2319i

14

Pembangkit No PSS

No UPFC

PSS-UPFC

PSO

PSS-UPFC

CRPSO

Suralaya 0.0220 pu 29,4 s 0,0052 pu 22,5 s 0,0045 pu 18,1 s

Muaratawar 0.0120 pu 34,0 s 0,0000 pu 25,1 s 0,0000 pu 18,5 s

Cirata 0.0120 pu 34,0 s 0,0080 pu 26,4 s 0,0075 pu 26,7 s

Saguling 0.0200 pu 32,4 s 0,0110 pu 17,6 s 0,0105 pu 21,0 s

Paiton 0.0100 pu 37,3 s 0,0022 pu 29,2 s 0,0018 pu 25,0 s

Grati 0.0098 pu 37,3 s 0.0102 pu 11.9 s 0.0082 pu 9,2 s

Gresik 0.0090 pu 37,3 s 0.0002 pu 33,4 s 0.0000 pu 25,0 s

Perbaikan Parameter 0 % 0 % 60.91% 31,14% 66,12% 40,28%

15

Pembangkit PSS

CRPSO

PSS-UPFC

CRPSO

Suralaya 0,0049 pu 16,5 s 0,0045 pu 18,1 s

Muaratawar 0,0000 pu 22,5 s 0,0000 pu 18,5 s

Cirata 0,0068 pu 24,6 s 0,0075 pu 26,7 s

Saguling 0,0100 pu 22,0 s 0,0105 pu 21,0 s

Paiton 0,0016 pu 29,3 s 0,0018 pu 25,0 s

Grati 0,0100 pu 15,6 s 0.0082 pu 9,2 s

Gresik 0.0002 pu 32,1 s 0.0000 pu 25,0 s

Perbaikan Parameter 0 % 0 % 14,05% 11,7 %

16

Perbaikan pada lima dari tujuh eigenvalue kritis, dan empat eigenvaluemenunjukkan hasil penalaan CRPSO lebih baik dibandingkan PSO.

Eigenvalue mode lokal dan interarea menunjukkan perbaikansignifikan dengan CRPSO.

Penerapan CRPSO mempercepat settling time respon variasi frekuensiuntuk seluruh pembangkit.

Penerapan PSS dan UPFC sebagai peralatan peredam osilasi sebaiknyajuga diuji untuk kondisi gangguan transien.

Penalaan PSS dan UPFC dapat diuji dengan metode optimisasi lain untuk mengamati perbandingan dengan metode CRPSO yang digunakan.

17

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[20] Krishna Teerth Chaturvedi, Manjaree Pandit, Laxmi Srivastava, Particle Swarm Optimization with Crazy Particle for NonconvexEconomic Dispath, Applied Soft Computing Journal, 2008.

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Rifad Mubarak Bamatraf

(2206 100 081)

Pembimbing: Prof. Dr. Ir. Imam Robandi, MT