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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Teknik Elektro Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Prosiding Seminar Nasional Hasil Penelitian Sains, Teknik dan Aplikasi Industri Fakultas Teknik Universitas Lampung Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Teknik Ilmu dan Aplikasi
Osea Zebua
University of Lampung
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Other

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Journal : International Journal of Electrical and Computer Engineering

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Transient response mitigation using type-2 fuzzy controller optimized by grey wolf optimizer in converter high voltage direct current Ginarsa, I Made; Nrartha, I Made Ari; Muljono, Agung Budi; Zebua, Osea
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1274-1286

Abstract

Long high voltage direct current (HVDC) transmission link is commonly used to transmit electrical energy via land or under-sea cable. The long HVDC avoids reactive power losses (RPL) and power stability problems (PSP). On the contrary, the RPL and PSP phenomena occur in long high voltage alternative current-link (HVAC) caused by the high reactive component in the HVAC-link. However, the HVDC produces a high and slow transient current response (TCR) on the high value of the up-ramp rate. Interval type-2 fuzzy (IT2F) control on converter-side HVDC is proposed to mitigate this TCR problem. The IT2F is optimized by grey wolf optimizer (GWO) to adjust input-output IT2F parameters optimally. The performance of IT2F-GWO is assessed by the minimum value of integral time squared error (ITSE), peak overshoot, and settling time of the TCR. The IT2FC-GWO performance is validated by the performance of IT2F control that is optimized by genetic algorithm (IT2F-GA) and proportional integral (PI) controller. Simulation results show that the IT2F-GWO performs better with small ITSE, low peak overshoot, and shorter settling times than competing controllers.
Co-Authors Agung Budi Muljono Aldiansyah, Aldiansyah banjar nahor, kevin elvredo Eliza , Dona Elnizar, Hendri Endah Komalasari Endah Komalasari, Endah Fernanda, Imam Ghozali Firmansah, Danu Gusmedi, Herry Hamdani, Fadil Hasan, Khairudin Herri Gusmedi Huda, Zulmiftah Huda, Zulmiftahul I Made Ari Nrartha I Made Ginarsa Khairudin Lukmanul Hakim Noer Soedjarwanto Nurmalik, Luki Prayogo, Christopher Theophilus Seniari, Ni Made Sultan Sultan Syaiful Alam Syidiq, Muhammad Al Rasyid T Rausyan Hilmy