Azriyenni Azhari Zakri, Azriyenni Azhari
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Pemodelan Resetting Reverse Power Relay Untuk Proteksi Generator Rozi, Fahrul; Zakri, Azriyenni Azhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 1 Januari s/d Juni 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

A generator is the main component in a power generation system. The generator needs a protection system to avoid internal or external faults. The protection relay on a 20 MW capacity generator in PLTG PT Riau Power was used in this case study. Furthermore, a Reverse Power Relay (RPR) model was designed and simulated using software Matlab/Simulink. In this simulation, setting the RPR results in several outputs, such as active power, voltage, current, and the delay time of the relay. The simulation results show that the reverse power obtained is -612 kW or 3% and the time delay of the relay is 0,2 second. Meanwhile, the standard of the maximum reverse power is -12.66 MW or 50% and the time delay is 30 second. Thus, there are some differences, i.e., the setting is 6% for the reverse power and 0,6% for the time delay. However, these differences show that setting the RPR still meet standard IEEE C37.102-2006. In this study, re-setting the RPR is proposed by speeding up the time delay between 50% and 95%.Keywords : generator, protection, reverse power relay, delay time
PHOTOVOLTAIC MODELING METHODS BASED ON MATLAB SIMULINK IMPLEMENTATION Zakri, Azriyenni Azhari; Nurhalim, Nurhalim; Simanulang, Dohardo P.H.; Tribowo, Ihwallibi
SINERGI Vol 22, No 1 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2018.1.001

Abstract

This paper presents photovoltaic system as a stand-alone electric power plant in the renewable energy development.  To maximize these stand-alone generators, it is necessary to design photovoltaic modeling to produce energy and maximum power.  The problems that exist in the design of PV systems are PV configuration, battery size, and the maximum power system. Therefore, this research will be proposed modeling Matlab/Simulink based PV system. The contribution of this research can provide various characteristics of the photovoltaic system with a capacity of 100 Wp.  This modeling is designed using Matlab/Simulink software.  The data generated from this simulation will provide a good reference for designing the stand-alone generators in the future.
PHOTOVOLTAIC MODELING METHODS BASED ON MATLAB SIMULINK IMPLEMENTATION Zakri, Azriyenni Azhari; Nurhalim, Nurhalim; Simanulang, Dohardo P.H.; Tribowo, Ihwallibi
SINERGI Vol 22, No 1 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2018.1.001

Abstract

This paper presents photovoltaic system as a stand-alone electric power plant in the renewable energy development.  To maximize these stand-alone generators, it is necessary to design photovoltaic modeling to produce energy and maximum power.  The problems that exist in the design of PV systems are PV configuration, battery size, and the maximum power system. Therefore, this research will be proposed modeling Matlab/Simulink based PV system. The contribution of this research can provide various characteristics of the photovoltaic system with a capacity of 100 Wp.  This modeling is designed using Matlab/Simulink software.  The data generated from this simulation will provide a good reference for designing the stand-alone generators in the future.
Pemodelan Relay Diferensial Pada Transformator Daya 25 MVA Menggunakan Anfis Firdaus, Hari; Zakri, Azriyenni Azhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 1 Januari s/d Juni 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Power transformer is an electrical device that is utilized to convert the electrical power from different voltage level. The fault occurs in the power transformer will inhibit the process of distributing electrical power to the consumer. Therefore, the protection system on power transformers is essential in power systems reliability. Power system can be reliable, if the protective devices work well when there is fault. Under fault conditions, protective devices have an important role in detecting any fault and separating the faulted parts of the system. This research will be conducted on 25 MVA of power transformer at gas power plant (case study: PT Riau Power). Matlab / Simulink was use for modelling differential relay. The simulation of short circuit have been created at three different locations, namely : internal, external 1, and external 2, respectively. The result of short circuit simulation using differential relay to input data used for the application of ANFIS method. Furthermore, these data were classified into three different input for ANFIS such as : internal with eksternal 1, internal with external 2, and internal, external 1 with external 2, respectively. The error result of ANFIS training for type of internal and external fault 1 is 0,00000086148, for types of internal and external fault 2 by 0,00000092462 and internal, external 1 and external 2 of 0,0000019162. The training results have obtained the smallest error value is the type fault of internal and external 1.Keywords : ANFIS, differential relay, power transformer, resetting
Pemodelan Fotovoltaik Berbasis Teknik Adaptive Neuro Fuzzy Inference System Tribowo, Ihwallibi; Zakri, Azriyenni Azhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 1 Januari s/d Juni 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Photovoltaic system is designed to meet the need of electricity or as an alternative energy. Using of photovoltaic panel system to generate electrical power has uncertainty of output power value, since it is not constant and strongly influenced by weather condition. This research discusses photovoltaic model to predict efficient and accurate output. This modelling system will applies method of Adaptive Neuro Fuzzy Inference System (ANFIS) to generate power, voltage, current, and temperature prediction. This model is divided into two systems run by ANFIS, ANFIS system 1 and system 2. From simulation result, obtained error value of open circuit voltage from battery 0.000104 %. This value is output value of ANFIS system 1. Furthermore, simulation of ANFIS system 2 produces error value of AC voltage around 0,058482%, This value is the output of inverter.Keyword : ANFIS, battery, modeling, prediction, photovoltaic
Klasifikasi Dan Estimasi Lokasi Gangguan Pada Saluran Transmisi Tenaga Listrik 150 Kv Menggunakan Metode Hibrid Ahmad, Sandy; Zakri, Azriyenni Azhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 1 Januari s/d Juni 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

This research proposes a hybrid method for classifying and estimating the location of short circuit faults in the electrical power transmission line. The hybrid method used Discrete Wavelet Transform (DWT) and Adaptive Neuro Fuzzy Inference System (ANFIS). The transmission system of bus Koto Panjang (KP) to bus Garuda Sakti (GS) in Riau province with a length of 64km were used in this research. DWT was utilized to process information from each phase voltage and current transient signals as well as the zero sequence current for one cycle after the fault begins. The ANFIS classification was designed to detect any fault in each phase and ground in determining the type of short circuit fault. ANFIS estimation was used to measure the fault location that occurs in the transmission line. The training and testing data were generated by simulating type of short circuit fault in Matlab/Simulink with variations in the fault location and fault resistance. The results obtained are classification of fault with an accuracy of 100% and the estimation of fault location with the lowest error is 0.000605% and the highest error is 0.029827%. Keywords: ANFIS, DWT, fault classification, fault estimation, short circuit.
PENERAPAN ANFIS UNTUK PERAMALAN GANGGUAN PADA TRANSFORMATOR DAYA Zakri, Azriyenni Azhari; Firdaus, Hari
Prosiding Seminar Nasional Pakar Prosiding Seminar Nasional Pakar 2019 Buku I
Publisher : Prosiding Seminar Nasional Pakar

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Abstract

Sistem daya listrik memiliki pembangkitan, sistem transmisi, sistem distribusi, sistem proteksi, dan beban. Sistem pembangkitan tenaga listrik merupakan elemen yang digunakan sebagai objek simulasi ketika terjadi gangguan pada transformator daya. Teknik cerdas yang akan digunakan adalah teknik hibrid yaitu gabungan Jaringan Syaraf Tiruan (JST) dan logika Fuzzy yang dikenal dengan ANFIS. Tujuan tulisan ini adalah mengusulkan suatu model gangguan menggunakan relai diferensial pada transformator daya untuk sistem perlindungan via Matlab/Simulink. Simulasi ini akan dianalisis performa relai diferensial untuk transformator daya yang dijalankan terhadap gangguan internal dan eksternal. Teknik ANFIS ini dapat berkontribusi dalam proses deteksi gangguan dengan cara aman dan andal. Pelatihan ANFIS diharapkan akan dapat memecahkan permasalahan identifikasi gangguan pada transformator daya berkapasitas 25 MVA.  Hasil yang diperoleh dari simulasi ini adalah dapat memberi rekomendasi  yang akurat dan efisien dari teknik yang telah dikembangkan menggunakan teknik ANFIS. Hasil keluaran yang diharapkan memberikan koreksi galat yang kecil dan mendekati nilai yang baik. Dan akhirnya, dengan penerapan teknik ANFIS ini dapat memberikan peramalan pada sistem transformator daya untuk meminimalisir gangguan pada transformator daya. 
Penerapan Anfis Untuk Menentukan Zona Gangguan Pada Saluran Tansmisi Tenaga Listrik Budiman, Dzaki; Zakri, Azriyenni Azhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 1 Januari s/d Juni 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

This research proposes one method in determining distance relay fault zones in power transmission systems. This research uses software simulated using Matlab / Simulink R2016a for asymmetric short circuit fault that produces voltage and current for each phase. The result of that fault will uses intelligent technique as input determining the location of the fault zone. The intelligent technique used is a combination between Fuzzy Logic (FL) and Neural Network (NN) which called Adaptive Neuro Fuzzy Inference System (ANFIS). Training and testing data have been carried out by running a short circuit fault simulation with distance variations in the of fault location . The training process in ANFIS is carried out with many iterations. The ANFIS output shows the accuracy target of location fault, the small and good error value. Performs the ANFIS validation process in the form of RMSE and MAE values based on the type of asymmetric 4 power transmission line. The ANFIS validation result in the values of RMSE and MAE for one phase to ground short circuit that is 0,006472 and 0,005453. The result of ANFIS validation in the two phase short circuit between RMSE and MAE values that is 0,005046 and 0,004201. In the for two phase to ground short circuit of RMSE and MAE values from the ANFIS validation result that is 0,007294 and 0,006535. The comparison of the calculation results of this validation values between RMSE and MAE show that the results of ANFIS network testing. Smaller result of error value RMSE or MAE so the ANFIS network gets better, and vice versa. The comparison result shows that, using MAE methode can determine the location of the fault zone nearer than RMSE methode.Keywords : ANFIS, error, fault asymmetric, fault zone, transmission system
Desain Sistem Pengisian Baterai Berbasis Solar Sel Menggunakan Regulator MPPT Insani, Ridho Syahrul; Zakri, Azriyenni Azhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 1 Januari s/d Juni 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

One alternative energy source that can be used is energy derived from sunlight. One important aspect that aims to improve the efficiency of solar cells is the Maximum Power Point Tracker (MPPT) on solar cells. The MPPT system aims to find a solar cell working point where solar cells are able to produce maximum power and detect solar cells work at that optimal point. The MPPT algorithm is the main part of the MPPT system, one of the MPPT algorithm is the Incremental Conductance Method (ICM). The ICM algorithm in this study is the MPPT method used by solar cells that detect the optimum conditions in various conditions the input values change in of solar cells. The ICM algorithm on a 100 Watt solar cell system is used for battery charging, the battery used is a lead-acid type with a nominal voltage of 12 Volts, a capacity of 6.5 Ah produces a maximum output power of 87.37 Watts. The increase in battery State of Charge (SOC) of 10% and 90%. Setting a battery SOC of 10% with 0.1% increase in battery SOC occurs at 2.7 seconds in simulation time or 27 minutes of real test time and battery SOC with a setting of 90% SOC increase in 0, 1% battery SOC occurred at 1.8 seconds at simulation time or 18 minutes real test time. Keywords:ICM Algorithm, Battery, Buck boost converter, MPPT, Solar cell
Desain Pemodelan Konsep Wide Area Protection (Wap) Di Sistem Transmisi Tenaga Listrik Khumaini, M Rois; Zakri, Azriyenni Azhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 1 Januari s/d Juni 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

This study will be suggested to gather information in very wide area for appropriate decision making to overcome a fault. Some important things are implementing the Wide Area Protection (WAP) system using Measurement Phasor Unit (PMU) and Artificial Neural Networks (ANN) on the IEEE 14 bus electric power system. This 14 bus system is modeled using Matlab/Simulink. Then, the fault detection location runs on the electric power transmission line with a wide area of the system that has been modeled. The purpose of this study is to design WAP system on the IEEE 14 bus system based on the PMU and ANN. PMU functions to convert voltage and current waves into phasor forms, magnitude and angle of voltage and current function to identify the location of three-phase short circuit faults. PMU via Matlab/Simulink works well and, it can read the magnitude value and the angle of current and voltage on the entire bus. The simulation is performed on variations on ANN input data current and voltage. The results of the training and testing of ANN gave an accurate value of the input current of 89%, a voltage of 85% and a combination of current and voltage of 78%.Keywords: ANN, fault location, PMU, short circuit, WAP