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<![CDATA[Rancang Bangun Pembangkit Listrik Photovoltaic 8x10 Wp Menggunakan Buck Converter Berbasis Arduino Sebagai Penggerak Motor Pompa ]]>
<![CDATA[Simarmata, Arjuna]]>;
<![CDATA[Rajagukguk, Antonius]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 2 Juli s/d Desember 2020 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[A photovoltaic (PV) system cannot generate maximum power automatically. The most important problems in solar technology are low conversion efficiency and the presence of I-V characteristics that are highly non-linear depending on solar radiation. To extract the maximum power, the PV array must be able to track changing maximum power points. Therefore, we need a method in order to obtain the maximum power generated by PV. In this study the author discusses the method of optimizing PV power using Maximum Power Point Tracking (MPPT) with the Perturbation & Observation (P&O) algorithm and Buck converter. The P&O algorithm is a method for tracking the highest power point generated by PV. The design was tested into four case, namely case, with no solar radiation, cloudy case, bright case, and very bright case. The design of the PV generator is used to charge 12 volt DC batteries and serve the 12 volt water pump motor. The battery charging process lasts for 4 hours. Building design test with pump motor load is carried out for 4 hours. The power consumed by the pump motor is 10 watts to 14 watts and the total water transferred by the water pump motor is 3188 liters. Keywords : Solar Cell, Buck converter, MPPT, Arduino]]>
<![CDATA[Algoritma Sistem Koordinasi Pembangkit Listrik Hibrid PV-Generator 3 Fasa ]]>
<![CDATA[wahyudi, Agus]]>;
<![CDATA[Rajagukguk, Antonius]]>;
<![CDATA[Rosma, Iswadi Hasyim]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 2 Juli s/d Desember 2021 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[The need for electrical energy is increasing along with population growth and increasing community activities, so it is necessary to add new energy sources to reduce fossil resources. One alternative renewable energy issolar energy using photovoltaic (PV). However, so that the load can still be supplied optimally, one alternative solution is to use a hybrid generator technique. Hybrid system is the concept of combining two or more energysources. One of the hybrid power plants that has the potential to be developed is a combination of PV and generator. This research makes a hybrid PV-generator generating system to serve the maximum load and complement each other's shortcomings and add a battery as an additional generator. This research creates a coordination of generators to interact with each other between generators to serve load patterns in a structuredand simulated manner in MATLAB 2016a. The design of the hybrid power plant is PV with 58 kwp power, 30 kAh battery and 25 kva generator. The results in this study show the performance of each generator whenserving the load. Loads of 10 kw, 20 kw and 30 kw are supplied by PV and batteries. At peak load, the load is supplied by a hybrid PV-generator or battery-generator. From the simulation results show that the generator isable to overcome any given load with a given coordination system.Keywords : Photovoltaic (PV), Hybrid, generator, load, Matlab 2016a]]>
<![CDATA[Perancangan Prototipe Pembangkit Photovoltaic 9x10 WP Berbasis Cluster String Menggunakan Algoritma Smart Controller ]]>
<![CDATA[Nuansa, Rangga Gilang]]>;
<![CDATA[Rajagukguk, Antonius]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 1 Januari s/d Juni 2020 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[There are several problems that can interfere photovoltaic performance in large scale. Shading effect on PV arrays causes reduced absorption of solar radiation and increased temperature on modules of PV arrays. The reduced absorption of solar radiation results decreaseing voltage on PV String and disrupts performance of PV array system. This study designs a small miniature of capacity PV farm consists of 10 wattpeak PV from 9 modules that arranged into 3 strings erach string consists of 3 PV modules. This study uses a series of bypass diodes and Blocking diodes. Using this bypass diode causes voltage among PV modules to be different while using Blocking diode causes the voltage among PV strings to be different. The aim of research is to increase power generated by PV farm circuit by Clustering the String PV farm area that is covered by shadows. This Clustering is based on classification of voltage readings on each PV farm String. Voltage in Cluster1 is 42V to 58V. While voltage in cluster2 is 21V to 41V and 9v in cluster3 From simulation combination of Shading 220, Shading 210 Shading 100 Shading 011 are 11.1%, 22.2%, 33.3% and 44.4%.respectively using dummy load in process sensing voltage on String is to ensure that electric current flows in a closed circuit so that bypass diode can work when one module is shaded. The results of this study indicate that using Cluster Method Combination can improve the harvesting of power in photovoltaics under shadow. It can be concluded that using Cluster string method can increase power up to 70%. Keywords: Shading , voltage, photovoltaic, clustering, dummy load, PV farm]]>
<![CDATA[Desain Pembangkit Listrik Tenaga Surya Tipe Rooftop On Grid – System Pada Gedung Laboratorium Teknik Elektro Universitas Riau ]]>
<![CDATA[Yakin, Khusnul]]>;
<![CDATA[Rajagukguk, Antonius]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 2 Juli s/d Desember 2020 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[Fossil resources will be depleted and not a sustainable option for the future. Fossil energy needs to be reduced in use and replaced by renewable energy sources. Solar energy is an alternative energy source with photovoltaic (PV) because of its unlimited availability. The PV system can be placed on top of a building and the maximum utilization of solar energy and utilizes the roof area to reduce investment costs in PV construction. This study designs and simulates a Rooftop PV On-Grid System in the Electrical Engineering Laboratory Building, Riau University. Design layout using Sketchup Pro 2017 software and PV mini-grid simulation using Marlab R2016a software. The results of this study resulted in 144 modules with a module power of 250 Wp from the total size of the roof of the building used and the total power was 36 kWp. The output of the PV module will be continued with the Buck Converter series to reduce the output as desired. Based on the results of the power test with 1000 W / m2 irradiation, the power obtained is 35,850 Wp. The resulting converter circuit efficiency is 98%. The system is designed to be connected and synchronous to the electricity network, when the load is greater than the PLTS power, the system regardless of the load is replaced by the PLN Electricity Network. Keywords: PLTS Rooftop, Grid-Connected, Buck Converter, Sketchup Pro 2017, Matlab R2016a]]>
<![CDATA[Perancangan Kendali Tegangan Dc-Dc Converter Berbasis Arduino Untuk Pembangkit Listrik Tenaga Bayu ]]>
<![CDATA[Wisanta, Hosea]]>;
<![CDATA[Rajagukguk, Antonius]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 1 Januari s/d Juni 2021 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[Wind Energy Power Plant is a type of renewable energy utilization. This plant has low emissions and is environmentally friendly. The principle of this energy is to convert wind energy into electrical energy with an electric generator rotated by a wind turbine. The problem with this energy is that the output from the generator is not always constant because of the changing nature of the wind. In addition, this generator has a low efficiency value. Therefore, the authors conducted research by designing a voltage control using by DC-DC converter. This voltage control is designed using two buck converters that run the Maximum Power Point Tracking (MPPT) based on the Perturb and Observe (P&O) algorithm and the voltage regulator algorithm which is controlled using the Arduino. The MPPT algorithm is used to find the highest power value in the generator so that it can increase power efficiency. The voltage regulator algorithm serves to maintain the voltage value at 12 volts. This research was conducted with a simulation method that was validated by the tool. In this study, it was found that the MPPT algorithm and the voltage regulator worked well. The overall efficiency of designed tool is 79.43% for the simulation and 43.41% for the actual tool. Keyword : Wind Turbine, DC-DC Converter, MPPT, Voltage Regulator]]>
<![CDATA[Analysis Of Power Generation Photovoltaic Array 9×10 Wp Under Shading Effect ]]>
<![CDATA[Utami, Dwi Prima Putri]]>;
<![CDATA[Rajagukguk, Antonius]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 3 No. 1 (2020): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.3.1.13-16
<![CDATA[There are several problems that can interfere with the performance of large-scale PV. One that enhances PV performance is shading on a PV module, that make interferes PV performance. This research studied about the effect of shading on the performance of large-scale PV systems through testing a 9 × 10 Wp miniature PV array and simulation using Matlab software. The use of diodes on a PV module can be done to prevent damage to the PV module due to shading. Through the power-voltage (P-V) and current-voltage (I-V) characteristic curves the effect of shading and the use of bypass and blocking diodes can be determined. Shading effect gave in a decrease in power in the PV module. From the results of this study note that the bypass diode and blocking diode output power generated by the PV module can be optimal.]]>
<![CDATA[Optimization of PV Power Capacity of 10 KWp Capacity Based on P&O Algorithm and Boost Converter ]]>
<![CDATA[Rajagukguk, Antonius]]>;
<![CDATA[Aritonang, Maryani]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 3 No. 3 (2020): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.3.3.57-64
<![CDATA[Using solar panels as a power plant can reduce the dependence of fuel oil. To work always on maximum power points (MPP), Photovoltaic (PV) requires optimization method. Therefore, the authors are interested in discussing the optimization method of the PV array model using Maximum Power Point Traking (MPPT) with the Perturbation & Observation (P & O) Algorithm and Boost Converter. In this case, PV capacity will be simulated on 10 kWp. That PV consists of 4 strings, which is each strings consist of 10 PV modules. The output of PV modules will be forwarded to the Boost Converter circuit. Boost Converter want is controlled by P&O Algorithm. The voltage and current generated from the PV array modeling will be used by the P&O Algorithm as a reference. The function of P&O Algorithm is to track the Maximum Power Point (MPP) of the PV model. The result of tracking power by P&O Algorithm will be forwarded to Pulse Width Modulation (PWM) circuit as a duty cycle generator. Duty cycle signal will be forwarded to the switching tool contained in the converter circuit. By that control system, PV model expected has maximum power according to the voltage. Based on the results of power test by 1000 W/m2 radiation, maximum power obtained is equal to 9967 Wp with 99.6 % efficiency at a voltage level of 400 volt. Therefore,it can be concluded that the design of the PV Array System using P&O Algorithm and the Boost Converter can work well.]]>
<![CDATA[The Design of Buck-Boost Converter With Arduino Based on 8x10 Wp Photovoltaic Power Plant ]]>
<![CDATA[Rajagukguk, Antonius]]>;
<![CDATA[Fadil, Jazuli]]>;
<![CDATA[Julianto, Jeffry]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 4 No. 2 (2021): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.4.2.145-153
<![CDATA[The use of solar panels through the Photovoltaic (PV) process is an efficient way to produce electrical energy. The main barriers to the use of solar panels are their low energy conversion efficiency and high initial costs. Solar panels are unregulated DC power sources that produce fluctuating voltages and currents, so they must be controlled properly in order to work as expected. Usually when solar panels are directly connected to a load, the operating point is rarely at its Maximum Power Point (MPP). Maximum Power Point Tracking (MPPT) is used to generate maximum power from solar panels. The DC to DC conversion functions as an intermediary for the solar panels and the load to deliver the maximum power to the load. In this study, MPPT was used with the Perturb & Observe (P&O) algorithm and DC to DC converter with a buck-boost converter type. Based on the test results between simulation and tool implementation, the input voltage of 17.6 V produces an output voltage of approximately 14.4 V for charging a 12 V battery with the maximum power produced by the PV generator. Based on these tests, it can be concluded that the buck-boost converter design based on the Arduino Uno in the 8x10 Wp photovoltaic power plant can work well.]]>
<![CDATA[Design Inverter SPWM Tow Frequency Based Soil Moisture Sensor Using Arduino ]]>
<![CDATA[Rajagukguk, Antonius]]>;
<![CDATA[Kurniawan, Riski]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 4 No. 2 (2021): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.4.2.145-153
<![CDATA[Inverters on induction motor control are widely used both in industry, transportation, household, and agriculture. This inverter is designed to convert Direct Current electricity into Alternating Current electricity. In this study, the inverter is designed using the Sinusoidal Pulse Width Modulation (SPWM) switching method and is able to produce pure sine waves of two frequencies of 50 Hz and 25 Hz with input control based on the reading of the soil moisture sensor. The purpose of this research is to apply to the controller of automatic watering plants. This system uses Arduino Uno as a SPWM signal generator and processes the reading of the soil moisture sensor and controls the LC filter. Based on the test results of the inverter control system, it is obtained an output voltage of 200 volts with a measured frequency of 48.83 Hz and 24.61 Hz with an input voltage of 12 Volt DC. The inverter system when loaded with single phase induction motors obtained efficiency at a frequency of 50 Hz by 36% and at a frequency of 25 Hz obtained by 70%. Thus, it can be concluded that this single-phase inverter can be used for applications in single phase induction motor speed control.]]>
<![CDATA[Short-Term Electricity Load Forecasting Model Based DSARIMA ]]>
<![CDATA[Mado, Ismit]]>;
<![CDATA[Rajagukguk, Antonius]]>;
<![CDATA[Triwiyatno, Aris]]>;
<![CDATA[Fadllullah, Arif]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.5.1.6-11
<![CDATA[Forecasting short-term electrical load is very important so that the quality of the electrical power supplied can be maintained properly. The study was conducted to measure the results of electrical load forecasting based on parameter estimates and the presentation of time series data. It is important to manage stationary data, both in terms of mean and variance. Data presentation is done by determining the value of variance through the Box-Cox transformation method and the mean value based on the ACF and PACF plots. This study considers the pattern of electricity consumption which contains double seasonal patterns. The results of previous studies show the electric power prediction model, the DSARIMA model with a MAPE of 2.06%. The condition of the model used to predict the electrical load still has a tendency not to be normally distributed and it is estimated that there are outliers. Improvements to the AR and MA parameters that meet the standard error tolerance value of 5 percent are increased in this study. The results showed improvement of parameters to predict electrical load with DSARIMA model. The significance of this study was obtained by the MAPE value of 1.56 percent when compared to the actual data.]]>
