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All Journal International Journal of Electrical and Computer Engineering Rotasi ELKHA : Jurnal Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Techne : Jurnal Ilmiah Elektroteknika JAREE (Journal on Advanced Research in Electrical Engineering)
Mohammad Zaenal Efendi
Program Studi Teknik Elektro Industri, Departemen Teknik Elektro, Politeknik Elektronika Negeri Surabaya
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Temperature and Humidity Control System for Pole-Mounted Metering Circuit Breaker with Artificial Neural Network Methods Ahmad, Mirza Ghulam; Efendi, Moh. Zaenal; Eviningsih, Rachma Prilian
ELKHA : Jurnal Teknik Elektro Vol. 15 No.2 October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v15i2.67933

Abstract

Pole-mounted Metering Circuit Breaker (PMCB) is a medium voltage protection device. Problems in the PMCB because operating at medium voltage causes insulation problems. The isolation problem that arises is due to partial discharge. Partial discharge can trigger the risk of flashover. In addition, corona discharge causes corrosion of the conductor, the effect is a failure and disconnection of electricity. This control system aims to maintain the temperature and humidity of the PMCB at the nominal values according to the standard. Based on SPLN D3.021-1:2020, it is known that under normal service conditions, the ambient air temperature does not exceed 40 °C and the average temperature for 24 hours does not exceed 35 °C and the highest relative humidity is 100% RH. The control system uses an AC voltage controller which is used to control the input voltage of the heater and exhaust fan so that the temperature and humidity can reach nominal operating conditions. The control method used is an artificial neural network (ANN) to find the ignition angle of the AC voltage controller as a TRIAC control. The test results using the ANN control method, system simulation produces a temperature error of 1.029% and humidity error of 2.48% and the hardware system produces a temperature error of 2.364% and humidity error of 8.673% compared to the set point temperature of 35 °C and humidity of 50% RH. It can be concluded that the ANN control method can maintain the PMCB temperature and humidity according to standards
MPPT algorithm based on modified remora optimization algorithm for photovoltaic systems under partial shading conditions Efendi, Moh. Zaenal; Adnaurrosyid, Akhmad; Habibi, Muhammad Nizar; Eviningsih, Rachma Prilian; Windarko, Novie Ayub; Jati, Mentari Putri
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1257

Abstract

The increasing electricity demand, driven by the growing human population, has led to the need for efficient backup power sources. Solar panels are one of the renewable energy sources that have been widely developed because they only require solar energy as their primary source. However, the phenomenon of partial shading is often a problem in solar panels because it can reduce the output power of the solar panel system, which is caused by shadows from trees or clouds. In this condition, conventional maximum power point tracking (MPPT) algorithms are often limited to the local maximum power point (LMPP). To effectively attain the global maximum power point (GMPP), it is imperative to devise more efficient algorithms. The modified remora optimization algorithm (MROA) has been proposed as a potential solution to this challenge. MROA is an adaptation of the remora optimization algorithm (ROA), inspired by the behavior of remora fish. The results indicate that the algorithm achieves an average accuracy of approximately 99.13 % in both simulation and hardware implementations. Furthermore, when comparing the results of the MROA with those of the original ROA method and particle swarm optimization (PSO), the MROA exhibited superior accuracy, tracking time, and power gain, suggesting that the MROA algorithm effectively circumvents the limitation of the local maximum power point.
AC-DC PFC Converter Using Combination of Flyback Converter and Full-bridge DC-DC Converter Efendi, Moh. Zaenal; Rizal, Abdul; Erzanuari, Aldi; ., Suryono; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 2 No 1 (2014)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6864.867 KB) | DOI: 10.24003/emitter.v2i1.21

Abstract

This paper presents a combination of power factor correction converter using Flyback converter and Full-bridge dc-dc converter in series connection. Flyback converter is operated in discontinuous conduction mode so that it can serve as a power factor correction converter and meanwhile Full-bridge dc-dc converter is used for dc regulator. This converter system is designed to produce a 86 Volt of output voltage and 2 A of output current. Both simulation and experiment results show that the power factor of this converter achieves up to 0.99 and meets harmonic standard of IEC61000-3-2.Keywords: Flyback Converter, Full-bridge DC-DC Converter, Power Factor Correction.
Co-Authors Abdul Rizal, Abdul Adnaurrosyid, Akhmad Ahmad Firyal Adila Ahmad Zidan Falih Ahmad, Mirza Ghulam Akhmad Puryanto Aldi Erzanuari, Aldi Annas Budi Prastyawan ARSANDI, FEBY CHANDRA Bambang Sumantri DWIRANTONO, MOCHAMMAD RODY Eka Prasetyono, Eka Evi Nafiatus Sholikhah Farid Dwi Murdianto Fito Ardli Fitri Habibi, Muhammad Nizar Hazlie Mokhlis Lucky Pradigta Setiya Raharja Lucky Raharja Luki Septya Mahendra Luluk Badriyah Lutfiah, Nabila Mentari Putri Jati MOCHAMMAD RODY DWIRANTONO Moh. Faisal Amir Moh. Faisal Amir Moh. Ifaldi Akbar Mohammad Fajar Setyawan Novie Ayub Windarko Nugraha, Syechu Dwitya Prakoso, Rifqi Noviantono Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Ramadhan, Mochammad Berliano Putra Romadloniyah, Nur Shinta Sony Junianto Suhariningsih Suhariningsih Suryono . Syechu Dwitya Nugraha Taufik Hidayat WATI, DEWI KUSUMA Wicaksana, Ragil Wigas