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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Majalah Ilmiah Teknologi Elektro Jurnal Teknik ITS IPTEK The Journal for Technology and Science Proceeding of the Electrical Engineering Computer Science and Informatics INTECOMS: Journal of Information Technology and Computer Science JAVA Journal of Electrical and Electronics Engineering JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Sewagati Majalah Ilmiah Teknologi Elektro
I Made Yulistya Negara
Teknik Elektro Institut Teknologi Sepuluh Nopember
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

 1 
Economic Dispatch Using Quantum Evolutionary Algorithm in Electrical Power System Involving Distributed Generators Ni Ketut Aryani; Adi Soeprijanto; I Made Yulistya Negara; Mat Syai’in
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 5: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.9 KB) | DOI: 10.11591/ijece.v7i5.pp2365-2373

Abstract

Unpredictable increase in power demands will overload the supply subsystems and insufficiently powered systems will suffer from instabilities, in which voltages drop below acceptable levels. Additional power sources are needed to satisfy the demand. Small capacity distributed generators (DGs) serve for this purpose well. One advantage of DGs is that they can be installed close to loads, so as to minimise loses. Optimum placements and sizing of DGs are critical to increase system voltages and to reduce loses. This will finally increase the overall system efficiency. This work exploits Quantum Evolutionary Algorithm (QEA) for the placements and sizing. This optimisation targets the cheapest generation cost. Quantum Evolutionary Algorithm is an Evolutionary Algorithm running on quantum computing, which works based on qubits and states superposition of quantum mechanics. Evolutionary algorithm with qubit representation has a better characteristic of diversity than classical approaches, since it can represent superposition of states.
Influence of metal particles shape on direct current voltage electric properties of nanofluids Fahmi, Daniar; Akbar, Muhammad Fadlan; Yulistya Negara, I Made; Hernanda, I Gusti Ngurah Satriyadi; Asfani, Dimas Anton; Zaidan, Risyad Alauddin; Fadhilah, Arkan
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp56-66

Abstract

It is widely recognized that the application of nanoparticles has the potential to improve the dielectric properties of transformer oil. Nevertheless, there is a scarcity of studies that have utilized pure nanofluids, and in practical applications, it is inevitable for transformer oil to become contaminated. Therefore, this study conducted tests to investigate how the shape and size of metal contaminants impact the dielectric performance of Fe3O4 nanofluids. The findings from the levitation voltage test indicate that as the size and diameter of the particle increase, the levitation voltage value measured also increases, and conversely. Moreover, a higher concentration of nanoparticles leads to a higher measured levitation voltage value. On the other hand, the breakdown voltage test results demonstrate that larger and sharper particles result in lower measured breakdown voltage values, and vice versa. The simulation outcomes regarding electric field distribution reveal that larger and sharper particles correspond to higher measured electric field values, while the opposite is true for smaller and less sharp particles.
Co-Authors A A Gd Dharma Putera Achmad Affandi Adi Soeprijanto Aditya Dwi Nugraha Affandi Afif, Yusrizal Agung Wicaksono Akbar, Muhammad Fadlan Ali Musyafa Ardyono Priyadi Arief Budi Ksatria Arwindra Rizqiawan Aryono, Nur Aryanto Aulidina Dwi Nur Andriyanti Azmi Wicaksono Bambang Sugiyantoro Damara, Dio Randa Daniar Fahmi, Daniar Dedet Candra Riawan Devy Kuswidiastuti Dianti, Dwie Vannia Dicky Wahyu Darmawan Dicky Wahyu Darmawan Dimas Anton Asfani Dwi Krisna Cahyaningrum Fadhilah, Arkan Feby Agung Pamuji Gilang Adityasakti Hadwim Septiawan Heri Nugraha Hermawan, Asep Dadan Husnah, Nurul I Gusti Ngurah Satriyadi Hernanda Imam Robandi Indra Sidharta Irmawati, Novia Ayu Ksatria, Arief Budi Liga Primabaraka M, Arief Made Yudha Pranadiksa Giri Made Yudhi Setyawan Mat Syai’in Mochammad Wahyudi Mubarok, Abdul Fattah Muhammad Eko Septiawan Muhammad Sulthon Novera Rega Musthofa, Arif Nandar, Cuk Supriadi Ali Neisya Islamey Rifma Ni Ketut Aryani Noor Akhmad Setiawan Nugraha, Yurid Eka Prajanuarto, Bimo Prastawa, Andhika Puji Handayani R. Wahyudi Rajavalens, Muhammad Roikhana Farista Dewira Rony Seto Wibowo Rukmana, Maman Ryan Nurdianto Satria Seventino Simamora Setijadi, Eko Siti Sudatul Aisyah N Sitorus, Philip Nathanael Erlangga Soedibyo Soedibyo Subekti, Hakim Sudatul Aisyah N, Siti Surya Dwi Kisdarmawan Suwadi Suwadi Titiek Suryani Tri Desmana Rachmildha, Tri Desmana Wildan Rahadian Putra Winanda Riga Tamma Yoga Uta Nugraha Yuniarto, Muhammad Nur Zaidan, Risyad Alauddin