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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Sinergi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Pengabdian UntukMu NegeRI INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Sinergitas PkM & CSR Prosiding Seminar Nasional Pakar JOURNAL OF SCIENCE AND APPLIED ENGINEERING Dielektrika Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Masyarakat Teknik International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Unri Conference Series: Community Engagement Journal of Innovation and Technology
Azriyenni Azhari Zakri
Universitas Riau
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Other

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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
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
Analisis Tingkat Keandalan Jaringan Distribusi 13,8 KV Dengan Menggunakan Metode Ria Yaser, Fahroli; Zakri, Azriyenni Azhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

This study proposes calculating and assess the level of reliability of the distribution system. This study calculates reliability index based on the value of failure occurred. The method used in this study is Reliability Index Assessment (RIA), where is this method takes into account interruption momentary. This study takes a case study on one of the largest private companies in Pekanbaru, make up to the mark of six feeders. Based on extinguishing data obtained that reliability index becomes smaller and can be differentiated between permanent fault and temporary fault. The calculation results show in the reliability index of SAIFI, SAIDI, and MAIFI based on the type of fault. The results of this calculation will compare with SPLN and IEEE standards. Comparison of all the results of SAIFI average value is 0.2199 times/year/customer compared to SPLN standard of 3.2 times/year/customer and IEEE standard of 1.45 times/year/customer has a high level of reliability. The value of SAIDI average value is 8.0437 hours/year/costumer compared to SPLN standard of 21 hours/year/customer and IEEE standard of 2.3 hours/year/customer has a unreliable level of reliability, caused of this condition transformer in feeder 3 gets maintenance. The value of MAIFI average value is 1.3 times/year/customer compared to IEEE standard of 5 times/year/customer has a high level of reliability.Keywords: MAIFI, SAIDI, SAIFI, RIA, reliability
Desain Arsitektur Teknik Cerdas Hibrid untuk Identifikasi Dan Klasifikasi Gangguan Di Sistem Distribusi Yuwandira, Yoldi; 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 paper presented a method of adaptive neuro fuzzy inference system (ANFIS) for classified short circuit faults in power distribution line at PT. Chevron Pacific Indonesia (CPI) in Bangko which has 4 branch line which are divided into BKO1, BKO2, BKO3 dan BKO4 with the length of each line are 30 Km, 25 Km, 25 Km dan 30 Km. Fault classification can improve the reliability of the power system. It needs quicken repair process and also reduces the possibility of equipment damage. The power distribution line is modeled using ETAP software. Short circuit types that simulated are phase to ground (F-T), phase to phase (F-F), phase to phase to ground (F-F-T), and three-phase (F-F-F). The ANFIS design is constructed using Matlab GUI 2016a version toolbox. Input data for this ANFIS design are short circuit value which is fed by three phases of voltage and current. The result of the simulations and data testing obtained Root Mean Square Error (RMSE) value for each line in Bangko PT. CPI with each membership function of GaussMF and GBellMF are 0.00046435% and 0.00029686% for BKO1, 0.000021651% and 0.00048023% for BKO2, 0.00021065% and 0.00029155% for BKO3, and then 0.0001479% and 0.00025739% for BKO4 respectively. Keywords: ANFIS, fault classifier, membership function, power distribution, short circuit faults
Identifikasi Gangguan Di Saluran Transmisi 115 KV Menggunakan Metode Twd Dan Recurrent Neural Networks Tua, Sahala; Zakri, Azriyenni Azhari; Sukma, Dian Yayan
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

The transmission system is the connecting part between the power plant and the distribution system and, will be forwarded to the load. When the fault occurred in the transmission line, it can cause a cut off in the supply of electrical energy to the load, causing losses to consumers. Therefore, a method is needed to identify fault accurately and quickly by reducing search time and speeding up the repair process. In this article, the identification of fault to be carried out is the classification and estimation of fault locations in the 115 kV transmission system. The method to be implemented is Discrete Wavelet Transformation (DWT) and Recurrent Neural Networks (RNN) using the type of Elman. This study applied the DWT and RNN methods to identify short circuit fault that occurs in the transmission line. DWT is aimed at extracting information of transient signals for each phase current and zero sequence current in one cycle when the fault occurred. RNN classification is used to detect a fault with each phase and ground and RNN to estimate the location of fault that occurs in the transmission line. Training and testing data generated by running simulations of each type of short circuit fault using Simulink Matlab R2016a with variation parameters; location point of fault, fault resistance and initial angle of fault. Short circuit fault applied in the transmission line on Simulink model of the Bus LK to Bus BK at a voltage of 115 kV and a line length of 63.3 km. The results obtained are a classification of fault with an accuracy of 100% and, estimation of fault locations with the highest average error value is 1.418568%.Keywords: DWT, estimation of fault, RNN Elman, short circuit.
Pengujian Panel Fotovoltaik Dengan Variasi Sudut Kemiringan Simanullang, Dohardo P.H.; 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 serves to convert solar energy into electrical energy or DC voltage. This study aims to test and observe the absorption of solar intensity by photovoltaic panels atvarious angles of the slope. The photovoltaic panel absorbs the maximum solar intensity if the photovoltaic panel is perpendicular to the coming sunshine. The method used to determine theangle of the photovoltaic panel is by observing the voltage and current values of the photovoltaic panel output. The Testing has been conducted with several variations of slope angles, namely; at an angle of 30 °, 40 °, and 50 °. From the results of tests and observations, it has been found that the absorption of solar intensity with maximum power (66 watts) occurs at the slope angle of 40 °.Keywords: slope angle, solar energy, solar absorption, photovoltaic
MODELING TO IMPROVE THE PERFORMANCE OF REVERSE POWER RELAY IN GENERATOR Zakri, Azriyenni Azhari; Rozi, Fahrul
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.008

Abstract

The generator is the primary component in electricity generation and requires a protection system from internal and external interference that occurs. This study considers how to improve the performance of relays in power plants. A model of a generator that is executed in a fault condition to reset the protective equipment, namely Reverse Power Relay (RPR). The study is intended to model the state of internal and external fault on the generator by applying a working principle of RPR. The model is designed to anticipate the actual fault in the generator. The simulation results obtained output such as; active power, current and time delay relay. The RPR reset of the generator system is applied to the generator in Riau Power. The RPR is installed on the generator is -612 kW, equivalent to 30%, the relay delay time is 0.2 seconds. Based on standardization, the return of power reaches a maximum of -12.66 MW, which is captured 50% with a maximum replacement of 30 seconds. Results of the RPR simulation have been validated with the IEEE standard at a time delay that corresponds to the percentage of reverse power settings installed at 6% and a time delay of 0.6%. Finally, to maximize the protection system on the generator, adjust 50% to 95% of the installed settings. It can be said that the system is able to increase generator protection and minimize the impact of internal or external fault.
Co-Authors A. Hamzah Abdul Gafar Arsaf Agus Ika Putra Al Imam Akbar Almasdi Syahza Amir Hamzah Andewi Rokhmawati Anto Anto, Anto Apriyal, Derry Aras Mulyadi Aris Suryadi Asmar Budiman, Dzaki D. Y. Sukma D.Y. Sukma Deni Irwansyah Dian Yayan Sukma, Dian Yayan Dicky Novriandi Dicky Novriandi Dirman Hanafi Dohardo P H Simanullang Dohardo P.H. Simanulang Dohardo P.H. Simanulang, Dohardo P.H. Edi Susilo Edy Ervianto Edy Ervianto F. Yaser Fahrul Rozi Fahrul Rozi Fauzan Ahmad Feblil Huda Feranita Feranita Firdaus Sutan Firdaus, Hari Fri Murdia Fri Murdiya Fri Murdiya Hanggun Syahadad Hanggun Syahadat Hari Firdaus Hari Firdaus Herman Syaibi Hidayat Hidayat I Gusti Bagus Wiksuana Ibim Sofimieari Ihwallibi Tribowo Ihwallibi Tribowo, Ihwallibi Ikhma Zurani Ikma Zurani Iman Satria Insani, Ridho Syahrul Ismail, Ihsan Jafaru Usman Khumaini, M Rois M.E. Dame M.W. Mustafa Makmur Saini Missi Ebta Dame Missi Ebta Dame, Missi Ebta Mitratul Qhuaris Mohd Wazir Mustafa Mohd Wazir Mustafa Mohd Wazir Mustafa Muchamad Oktaviandri Muhammad Fauzan Muhammad Hamdy Maadjid Muhammad Septian Dwi Cahyo Naila Zareen Nurhalim Dani Ali Nurhalim Nurhalim Nurhalim Nurhalim, Nurhalim Pedia Aldy Piki Setri Pernantah R. Febriyursandi Rangga Eka Saputra Rezky Almi Ramadhan Riski Febriyursandi Rita Kurnia Rofi Hariadi Rosma, Iswadi Hasyim Rudy Kurniawan Sandy Ahmad Sandy Ahmad Sandy Ahmad Saputra, Rangga Eka Simanullang, Dohardo P.H. Sofimieari, Ibim Suwitno Syukri Darmawan Syukri Darmawan TAUFIQ RAHMAN SIREGAR Taupiq Rahman Siregar Tegar Arieyasha Fikri Tristianty, Wenny Dwi Tua, Sahala Wahri Sunanda Wahri Sunanda Wahri Sunanda Welly Yandi Yaser, Fahroli Yelmida Azis Yeni Kusumawaty Yuwandira, Yoldi