ABSTRAK (I NDONESIA-ENGLISH) PENELITIAN UNGGULAN …

ABSTRAK (I NDONESIA-ENGLISH) PENELITIAN UNGGULAN PERGURUAN TINGGI (T AHUN I) TEMA: SUMBER ENERGI TERBARUKAN ... system can be improved by research and...

0 downloads 0 Views 61KB Size
ABSTRAK (INDONESIA-ENGLISH) PENELITIAN UNGGULAN PERGURUAN TINGGI (TAHUN I)

TEMA: SUMBER ENERGI TERBARUKAN

PENGEMBANGAN SIMULATOR REAL-TIME UNTUK PELACAK TITIK MAKSIMUM PANEL SURYA BERBASIS SISTEM CERDAS TIM PENGUSUL: Ketua: Dr.Eng. Syafaruddin, S.T, M.Eng (NIDN: 0030057407) Anggota-1: Dr. Ir. AnsarSuyuti, M.T (NIDN: 0031126723) Anggota-2: Ir. Zaenab, M.T (NIDN: 0001026601) Anggota-3: ZulkifliTahir, S.T, M.Sc(NIDN: 0003048403)

UNIVERSITAS HASANUDDIN NOVEMBER 2013

ABSTRAK Dalambidangaplikasisistemphotovoltaik,

terdapattantangan

yang

sangatkrusialberkaitandenganpeningkatanefisiensisistemphotovoltaikdanpengembangankeandalans istemkontroldalampembangkitanlistrik

yang

berbasisenergisurya.Secaraumum,

terdapatduacarapeningkatanefisiensipembangkitanenergilistriksistemphotovoltaik. pertamaadalahpengembangan

material

penyusun

Yang

solar

sel

yang

mempunyaitingkatanefisiensikonversienergi yang tinggisekaligusdenganbiayafabrikasiselsurya yang murah.Kemudian

yang

keduaadalahmengoperasikansistemphotovoltaikpadatitikoperasioptimalnya.Akan

tetapi,

sistemphotovoltaiktidakbisadioperasikan

optimal

denganhanyamengandalkantegangankeluaranpadasatutitiktertentudanjugadayakeluarannyasangatb erfluktuasipadakondisiintensitascahayamataharidantemperatursekeliling panel surya.Sementaraitu di

sisilain,

tentunyasangatsulitdantidakakuratmelakukanpengetesankinerjasistemkontroluntukpelacakantitikop erasidayamaksimumdenganasumsikondisicuaca yang sama. Dan jugapengetesanlangsung di lapangansangatlahmembutuhkanbiaya

yang

besardanmenyitabanyakwaktu.Olehkarenaitupenelitianinibertujuanmengembangkan simulator realtime

untukpelacakantitikmaksimumdenganmengutiliasansistem

berbasisdSPACE.

Konfigurasisistemterdiridaripemodelan

jaringansyaraftiruandankontrollogika

interface

real-time

panel

fuzzy

yang surya,

denganinformasi

polar.Metodeinipadadasarnyasangatbarudalambidangaplikasisistemkontrolpelacakantitikmaksimum photovoltaikterutamapadaimplementasitipelogika fuzzy

yang digunakan real-time

system.Sedangkanjaringansyaraftiruandigunakanuntukmenentukantitikoperasi

interface

optimum

yang

nantinyadijadikansebagai set-point darisistemkontrol yang dikembangkan.Jenisteknologimodul yang diinvestigasidengan simulator real-time iniadalahjenisteknologimonocrystalline Silicon, thin-film Cadmium

Telluride

dan

triple

junction

amorphous

Silicon

solar

cells.

Hasilverifikasiberkaitandenganstabilitasdankemampuankinerjaperancangansistemmenunjukkanbah wa

simulator

real-time

inibisamemberikanrespon

yang

akuratterhadapbeberapaskenariopenginputan yang bervariasidanjenisteknologimodulphotovoltaik yang berbeda.

ABSTRACT In photovoltaic (PV) system applications, there are crucial challenges in the efficiency improvement and control system reliability enhancement. In general, the efficiency of photovoltaic generation system can be improved by research and development of material composing solar cell technology with low cost material. Another approach in energy efficiency improvement is by operating the PV system in the optimal operating points. However, the photovoltaic system cannot be merely operated depending on single voltage operating point only due to the fluctuation of sunlight intensity and ambient temperature. In addition, the performances of conventional control systems are difficult to be measured and less accurate under assumption of similar weather conditions. Similarly, the field testing requires high cost and time-consuming. For these reasons, the research aims to develop real-time simulator for tracking the optimal operating point by means the maximum output power and energy using dSPACE real-time interface systems. The main configuration of our proposed method consists of mathematical modeling of photovoltaic system, artificial neural network and polar coordinated fuzzy controller. The proposed method is quite new in the maximum power point tracking control systems, especially in fuzzy logic implementation in real-time interface systems. Meanwhile, the artificial neural network is used to determine the optimal operating points as the reference point for developed controller. The PV module technologies, such as monocrystalline Silicon, thin-film Cadmium Telluride and triple junction amorphous Silicon solar cells are investigated in this research. The verification of proposed method related to stability and performance capability shows that the proposed real-time simulator responds accurately to different input weather scenarios and different photovoltaic modules technology.