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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) ELINVO (Electronics, Informatics, and Vocational Education) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control SENTIA 2015 INTEK: Jurnal Penelitian Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Indonesian Journal of Electrical Engineering and Computer Science Abdimas Galuh : Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Pengabdian kepada Masyarakat POLIGRID Jurnal Rekayasa elektrika
Farid Dwi Murdianto
Politeknik Elektronika Negeri Surabaya
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Journal : JAREE (Journal on Advanced Research in Electrical Engineering)

 1 
Maximum Power Point Tracking Interleaved Boost Converter Using Cuckoo Search Algorithm on The Nano Grid System Taufik Hidayat; Mohammad Zaenal Efendi; Farid Dwi Murdianto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 1 (2021): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i1.160

Abstract

The problems of using solar panels include the power and efficiency that can be achieved by solar panels during conditions where the surface of the solar panel is covered by shadows, because the performance of the solar panels is affected by the amount of sunlight received and the temperature of the solar panels. Then, a solution appears to overcome the problem, called Maximum Power Point Tracking or a technique to get the maximum output power from solar panels. Initially, MPPT worked with conventional methods, one of which was Perturb and Observe. Furthermore, the MPPT method on solar panels continues to develop to solve problems during partial shade conditions. The development of this conventional method is called the metaheuristic method, an example of which is the Cuckoo Search Algorithm method implemented in this research. This method is characterized by the Levy Flight equation in generating duty cycle values so that it can reach the maximum peak power of solar panels. The system built in this research is also supported by the highly efficient Interleaved Boost converter. Based on simulation results show that the power that can be generated by the MPPT Cuckoo Search Algorithm is higher than the MPPT Perturb and Observe, which is 121.23 W compared to 72.38 W.Keywords: automatic, humidity sensor YL-69, microcontroller, mint leaves, nourishing system, watering system, RTC.
MPPT Full Bridge Converter using Fuzzy Type-2 Annas Budi Prastyawan; Mohammad Zaenal Efendi; Farid Dwi Murdianto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.197

Abstract

Renewable energy application using Photovoltaic (PV) is developed as a conversion from solar energy into electrical energy. PV produces output power according to irradiation and temperature conditions. PV has a Maximum Power Point or MPP based on P-V characteristic curve. In certain conditions, PV has an unstable output power then the accuracy of the power generated is not maximum. MPPT method with conventional control is not optimal to resolves power inaccuracies in the system. When the system has a circuit problem, the conventional power converter will be damage. To achieve accuracy and maximize PV output, the Maximum Power Point method will find MPP. Using MPPT Fuzzy Type-2 method on the converter can reliably overcome the inaccuracies and tracking speed of PV power. Full Bridge Converter topology is used as a safety circuit with a high-frequency isolation transformer. Implemented on MATLAB/Simulink software, Simulation results in Model 1 show that the average power accuracy with Fuzzy Type-2 is 91.40% compared to Fuzzy Type-1 with an average power accuracy of 80.64%. In Model 2, Fuzzy Type-2 is 87.63% compared to Fuzzy Type-1 of 77.93%. MPPT method using fuzzy type-2 is better than using fuzzy type-1 in terms of power accuracy.Keywords: full bridge converter, fuzzy type-2, MATLAB/Simulink, maximum power point tracking, photovoltaic.
Balancing Charging System Using Adaptive Neuro-Fuzzy Inference System Based On CUK Converter Mohammad Fajar Setyawan; Mohammad Zaenal Efendi; Farid Dwi Murdianto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.199

Abstract

In a battery set, there is always a voltage difference caused by charging and discharging. Therefore, it is necessary to pay attention to the condition of the battery or State of Charge (SOC) so that it is in a balanced state between the batteries. Unbalanced battery conditions result in decreased performance of the battery. For that we need a balancing circuit that works actively with the help of a DC-DC converter. DC-DC converters generally have a principle like a buck-boost converter to increase and decrease the output voltage, however the output still has a fairly large ripple in the waveform. Therefore, the CUK converter is used which is a development of the buck-boost converter topology, where the output of this CUK converter has smaller ripples because it uses two capacitors and two inductors. Of the various methods used to adjust the duty cycle of the CUK converter, a precise and accurate algorithm is needed to overcome the instability of the converter output. The method used to adjust the duty cycle uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm as the development of the Fuzzy method. The system is implemented using MATLAB Simulink software. The simulation results show that the output of the CUK converter with the ANFIS method has a faster response speed reaching a set point of 1.95 × 10-4 seconds and the accuracy of the output voltage with ANFIS is 99.94% while the accuracy of the output converter current using ANFIS is 65.7%.Keywords: ANFIS, balancing, battery, CUK converter, state of charge (SOC).15
CC-CV Controlled Fast Charging Using Fuzzy Type-2 for Battery Lithium-Ion Ahmad Zidan Falih; Mohammad Zaenal Efendi; Farid Dwi Murdianto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.200

Abstract

Energy dependency is increasing along with the increase in population growth rate, while the fossil energy is decreasing. Alternative energy such as solar energy is one solution to provide renewable energy, but solar energy cannot provide an intense supply of energy. Therefore, the equipment needs an energy storage. The battery has important role in energy storage with the performance of the battery that need an attention. The method and type of battery used  must be considered to maintain battery lifetime and  reduce overcharging. The purpose of this research is to understand the process of fast charging the CC-CV (Constant Current Constant Voltage) method on Lithium-Ion battery which is expected to reduce battery overcharging. In this method, the current is maintained constant until certain conditions then followed by constant voltage to prevent overcharging. The voltage from the solar panel is very high, voltage reduction is needed as the charging voltage for the battery. The DC-DC Converter used is Buck Converter which is given Fuzzy Type-2 algorithm to maintain a current of 10 Ampere during CC conditions and  a voltage of 14.4 Volt during CV conditions with switch of CC conditions to CV conditions on SoC 99.25%.Keywords: battery charging, buck converter, CC-CV, lithium-ion, type-2 fuzzy.
Co-Authors -, Irianto -, Suryono -, Sutedjo Ahmad Firyal Adila Ahmad Zidan Falih Amir Muhyidin Anang Budikarso, Anang Andraeni, Azzahra Farah Annas Budi Prastyawan Arman Jaya Arman Jaya Ayu Wulandari Ayu Wulandari Diah Septi Yanaratri Dimas Okky Dui Agusalim, Imam Dwi Lastomo Eka Prasetyono, Eka Eko Hadi Suharyanto, Hendik Endro Wahjono Endro Wahjono, Endro ENI WULANDARI Epyk Sunarno Era Purwanto Ferdiansyah, Indra Fito Ardli Fitri Hendik Eko Hadi Suharyanto Hendra Ari Winarno Imam Dui Agusalim Imam Robandi Indhana Sudiharto Indra Ferdiansyah Irianto Irianto Irianto Irianto Karso, Anang Budi Lavia Isnani Lucky Pradigta Lucky Pradigta Setiya Raharja Luki Septya Mahendra Luluk Badriyah M Chaninul Fuad Mentari Putri Jati Misbah MOCHAMAD ARI BAGUS NUGROHO Mochamad Ashari Mohammad Fajar Setyawan Mohammad Zaenal Efendi Mufa’ary, Neily Itsqiyah Nizar, Ahmad Hisam Ontoseno Penangsang Ontoseno Penangsang Ony Asrarul Qudsi Pressa Perdana Surya Saputra Prilian Eviningsih, Rachma Proboningtyas, Dewinta Dwi Putri, Berliana Rahma Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih Rakhmawati, Renny Ramadani, Fahri Renny Rakhmawati, Safira Nur Hanifah, Renny Rakhmawati, Rusli, Muhammad Rizani Septi Yanaratri, Diah Setiya Raharja, Lucky Pradigta Soedibyo Soedibyo Soedibyo Soedibyo Suryono Suryono Sutedjo Sutedjo Suyanto Suyanto Syechu Dwitya Nugraha Taufik Hidayat Taufika, Putri Wahdjono, Endro Widyasavitta, Vena Chika Yeheskiel Rante Payung Zulfa, Wildana