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Journal : Jurnal Ilmiah Kursor

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DESIGN OPTIMIZATION OF MICRO HYDRO TURBINE USING ARTIFICIAL PARTICLE SWARM OPTIMIZATION AND ARTIFICIAL NEURAL NETWORK Lie Jasa; Ratna Ika Putri; Ardyono Priyadi; Mauridhi Hery Purnomo
Jurnal Ilmiah Kursor Vol 7 No 3 (2014)
Publisher : Universitas Trunojoyo Madura

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Abstract

DESIGN OPTIMIZATION OF MICRO HYDRO TURBINE USING ARTIFICIAL PARTICLE SWARM OPTIMIZATION AND ARTIFICIAL NEURAL NETWORK aLie Jasa, bRatna Ika Putri, cArdyono Priyadi, dMauridhi Hery Purnomo a,b,c,d Instrumentation, Measurement, and Power Systems Identification Laboratory Electrical Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia a Electrical Engineering Department, Udayana University, Bali, Indonesia b Electrical Engineering Department, Politeknik Negeri Malang, Malang, Indonesia. Email: liejasa@unud.ac.id Abstrak Turbin digunakan mengkonversi energy potensial menjadi energy kinetik. Kapasitas Energy yang dihasilkan dipengaruhi oleh sudu-sudu turbin yang dipasang pada tepi. Sudu turbin dirancang seorang ahli dengan sudut kelengkungan tertentu. Efisiensi dari turbin dipengaruhi oleh besarnya sudut, jumlah dan bentuk sudu. Algoritma PSO dapat digunakan untuk komputasi dan optimasi dari design turbin mikro hidro. Penelitian ini dilakukan dengan; Pertama, Formula design turbin dioptimasi dengan PSO. Kedua, Data hasil optimasi PSO diinputkan kedalam jaringan ANN. Ketiga, training dan testing terhadap simulasi jaringan ANN. Dan yang terakhir, Analisa kesalahanr dari jaringan ANN. Data PSO sebanyak 180 record, 144 digunakan untuk training dan sisanya 40 untuk testing. Hasil penelitian ini adalah MAE= 0.4237, MSE=0.3826, dan SSE=165.2654. Error training terendah didapatkan dengan algoritma pembelajaran trainlm. Kondisi ini membuktikan bahwa jaringan ANN mampu menghasilkan desain turbin yang optimal. Kata kunci: Turbin, PSO, ANN, Energi Abstract Turbines are used to convert potential energy into kinetic energy. The blades installed on the turbine edge influence the amount of energy generated. Turbine blades are designed expertly with specific curvature angles. The number, shape, and angle of the blades influence the turbine efficiency. The particle swarm optimization (PSO) algorithm can be used to design and optimize micro-hydro turbines. In this study, we first optimized the formula for turbine using PSO. Second, we input the PSO optimization data into an artificial neural network (ANN). Third, we performed ANN network simulation testing and training. Finally, we conducted ANN network error analysis. From the 180 PSO data records, 144 were used for training, and the remaining 40 were used for testing. The results of this study are as follows: MAE = 0.4237, MSE = 0.3826, and SSE = 165.2654. The lowest training error was achieved when using the trainlm learning algorithm. The results prove that the ANN network can be used for optimizing turbine designs. Keywords: Turbine, PSO, ANN, Energy
Co-Authors Abella Novatna Anjarsari Achmadiah, Mas Nurul Adhisuwignjo, Supriatna Adhisuwignjo, Supriatna Adi Candra Kusuma Adi Candra Kusuma Afrian Wahyu Utama Agus Pracoyo Agus Setiawan Agus Setiawan Agus Suhardono Aji Nugroho Amalia Amalia, Zakiyah Andre Dwi Syahrul Kirom Ardyono Priyadi Ardyono Priyadi Artahsasta Bima Prafista Arwin Datumaya Wahyudi Sumari Athifah, Rula Bambang Priyadi celvin fachreza setiawan Dewatama, Denda Diah Meilany Doddy Maulana Donny Radianto Edi Sulistio Budi Edi Sulistio Budi Eka Mandayatma Eka Mandayatma Erfan Rohadi Fahrul Maulana Fenza Maulana Fratama, Rizza Ade Hapsari, Ratih Indri Hari Kurnia Safitri Haries Fadhilah Karim Hariyadi Singgih Hariyadi, Herman Herijanto, Pudji Herman Hariyadi Herman Hariyadi Ari Murtono Herman Haryadi Ikrar Hanggara, Ikrar Ilham Agung Wicaksono Indrawan Nugrahanto, Indrawan Indrazno Siradjuddin Isac Ilham Akbar Habibi Ivan Fadhila La Choviya Hawa Lie Jasa M. Rifa'i M. Zainal Arifin Mas Nurul Achmadiah Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mila Fauziyah Mila Fauziyah Moechammad Sarosa Mohammad Noor Hidayat Mohammad Zulfi An-nizar Eprijusy Muhamad Rifa'i Muhamad Rifa'i Muhamad Rifa'i Muhammad Luqman Muhammad Rifa'i Muhammad Rifa'i Muhammad Rifa’i Muhammad Sholeh Munir, Abdullah Faiq Nanik H Nihayatun Nafisah Nugraeni Ratna Widiastuti Nurhalim, Kubad Nurwicaksana, Wahyu Aulia Parastiwi, Andriani Permatasari, A.A Intan Purwanto, Rizqy Amrullah Risdhayanti, Anindya Dwi Riskitasari, Septyana Rizky Agita Indrawan Rizqy Amrullah Purwanto Ronilaya, Ferdian Rosyidin, Arif Anwar Sapto Wibowo Sapto Wibowo Sapto Wibowo Sembiring, Rinawati Septriandi Wirayoga Setiawan, Budhy Setiawan, Hendra Mars Sidik Nurcahyo Siradjuddin, Indrazno Siswoko Siswoko Sunu Hasta Wibowo, Sunu Hasta Supiyono . Supriatna A.S Supriatna Adhisuwignjo Syamsiana, Ika Noer Syarifatul Izza Tarmukan Tarmukan Tyanggoro, Lif Wijaya Kusuma Wijaya, Wildan Surya Winarno, Totok Wirawan Yoga Setiono Yogi Sulistyopambudi Yulianto Yulianto Yulianto Yulianto Zaliyah Amalia