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All Journal Journal of Advanced Technology and Multidiscipline (JATM) International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
Jufri, Fauzan Hanif
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology

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Study of Reducing Transmission Losses in Java-Bali System with the Addition of Capacitors along with Optimal Capacitor Placement Methods Using Quasi-Dynamic Simulation Ali, Haidar; Sudiarto, Budi; Jufri, Fauzan Hanif; Salile, Ahmad Yusuf; Nasution, Eldi Firmansyah; Marbun, M
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 1 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i1.39

Abstract

The Java-Bali electricity system is the largest electricity system in Indonesia which consists of 5 areas including Jakarta-Banten area, West Java area, Central Java area, East Java area and Bali area. This system is operated to meet the economic, reliability, quality, and green principles. In the case of reliability, one of the essential aims is minimization of transmission losses due to importance in system improvement to increase system operational efficiency to the possible extent. Transmission losses are an inevitable part of the electric power transfer process from generation stations to consumers. The power losses in a transmission line are inversely proportional to the square of the line voltage. This implies that lower line voltages result in higher power losses. Therefore, it is crucial to maintain optimal voltage levels to minimize transmission losses and ensure efficient energy delivery across the power system. One effective way to achieve this is by integrating capacitors into the system. In this study, we have explored two methods that aim to pinpoint the most advantageous locations for the integration of new capacitors. The goal is to optimize capacitor planning, with an emphasis not only on improving voltage levels but also on minimizing transmission losses within the Java-Bali system. The research results indicate that implementing two proposed methods can significantly reduce transmission losses in The Java-Bali system. Method-1 involves identifying the lowest voltage over the course of a year, while Method-2 focuses on the lowest voltage value within the first quartile (Q1/25%) during the same period
A Design of Economically Feasible Hybrid Energy System with Renewable Energy Ratio Priority Sibarani, Michael Bonardo Siswono; Jufri, Fauzan Hanif; Samual, Muhammad Gillfran; Widayat, Aditya Anindito; Sudiarto, Budi
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 2 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i2.60

Abstract

The reduction of fossil fuels which produce CO2 emission that damage the environment, can be done by implementing renewable energy-based power generations, such as solar and wind. This research designs a hybrid energy system by optimizing the use of existing diesel generators through the integration of renewable energy sources, such as solar photovoltaic and micro wind turbine, and is equipped with an energy storage system. This research uses HOMER Pro software to determine the optimal capacity of hybrid system components, and to calculate the cost of energy (CoE). Furthermore, the hybrid system configuration is analyzed by applying several objectives. The objectives of the hybrid system design are to prioritize a maximum renewable energy penetration ratio within permitted annual capacity shortage and with the CoE lower than the existing CoE. The research results show that the proposed hybrid energy system can provide a renewable energy penetration ratio of 57.1% with CoE of IDR 3,510/kWh.
Blackout Recovery Scenario in a Combined-Cycle Power Plant via Line Charging and Internal Cross-Supply: A Techno-Economic Comparative Analysis Warih, Gamal Fiqih Handono; Jufri, Fauzan Hanif; Samual, Muhammad Gillfran; Hudaya, Chairul
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 2 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i2.61

Abstract

The readiness of fast response power plants, such as Combined-Cycle Power Plant (CCCP), following a blackout in the power system shall be maintained to preserve the availability of the supply. Hence, blackout recovery scenario is usually prepared and considered as one of the measures to achieve the system readiness after blackout. This study presents a techno-economic comparative analysis between two blackout recovery methods, namely via line charging and internal cross-supply, in CCCP Priok, Indonesia. It analyzes the historical data of the relationship of the active power contribution to the frequency, and then obtains the appropriate settings for the power plant parameters. From the technical perspective, the gain value or participation factor of this plant is 49 MW/Hz with 6% droop setting and 0.029 Hz of deadband frequency. It is found that a load set point lower than 2.49 MW can lead to grid synchronization failure since there are self-consumption loads on each gas turbine. Moreover, to prevent the risk of reverse power and to achieve a successful internal cross-supply scenario, the minimum load setting shall be adjusted to 3 MW. Meanwhile, from an economic perspective, the results show that a successful internal cross-supply method may save up to IDR 2.7 billion compared with line charging method.
Development of Disturbance Type Detection Using Convolution Neural Network for Fault Signature Analysis Putra, Kharisma Darmawan; Garniwa, Iwa; Jufri, Fauzan Hanif; Oh, Seongmun
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 2 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i2.136

Abstract

The development of technology in electrical systems is growing rapidly, increasing power system complexity, which causes the operation and maintenance of the power system networks to become more complicated, especially when a disturbance occurs in the networks. To overcome the issue, there is a need to utilize the tools available as much as possible to manage the power system networks. Nowadays, the power system network is equipped with protection relays and controls that provide various data about the systems, such as the Disturbance Fault Recorder (DFR), which monitors and records the system’s characteristics during network disturbance events. DFR holds information on the system’s parameters during a fault, but it cannot recognize the type or cause of the disturbance. Hence, this paper proposes a method based on the Convolution Neural Network (CNN) model to analyze the DFR’s data and determine the type/cause of disturbance so it can be used to manage the follow-up actions properly. Based on the research results, CNN, with six types of disturbance classification, has an accuracy of 93,87%. Based on the results obtained, the accuracy of CNN using the VGG19 type in handling disturbance analysis in graphical patterns is satisfactory.
Estimasi Tingkat Penetrasi Fotovoltaik Atap pada Jaringan Distribusi Tenaga Listrik yang Terkendala Kualitas Daya: Studi Kasus di Feeder Salodong Muhammadia, Khayrunnisa B; Jufri, Fauzan Hanif; Husnayain, Faiz
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 1 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i1.71674

Abstract

The growth of rooftop photovoltaic (PV) systems in Indonesia has increased rapidly as part of the national effort to develop decentralized renewable energy. PT PLN (Persero) North Makassar Customer Service Unit, with a total of 409,025 customers and an installed capacity of 1,332 MVA, has integrated seven rooftop photovoltaic customers with a total capacity of 419.5 kilowatt peak (kWp). The main challenge of integrating rooftop photovoltaics is the system's ability to channel solar energy while maintaining service and operational standards. This research investigates the impact of rooftop PV penetration on power quality parameters, including voltage fluctuations, harmonics, and distribution system reliability in one of the feeders of the PLN North Makassar area. The Salodong feeder, in particular, consists of 137 transformers with a total capacity of 32.9 MVA, serving customers from various tariff groups, including industry, business, social, and residential. The impact of rooftop photovoltaic penetration on the distribution system is evaluated by analyzing various levels of rooftop photovoltaic penetration. Additionally, this study also proposes strategic recommendations that can be implemented to optimize rooftop photovoltaic penetration. The findings highlight a critical penetration threshold, which, if exceeded, will affect power quality limits and propose mitigation strategies to avoid excessive reverse power, high harmonics, and voltage fluctuations. An optimal rooftop photovoltaic penetration level of approximately 30% is recommended, serving as a reference for the PT PLN (Persero) network planning team to enhance PV integration while maintaining system performance.
Grid Impact Study of Lombok Power System Due to the Integration of Solar Power Plant Azhar, Fakhrudin; Jufri, Fauzan Hanif; Garniwa, Iwa
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 1 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i1.71680

Abstract

In recent years, the response to climate change and the need for sustainable energy have driven the global energy transition towards renewable energy, particularly Solar Power Plants (SPP). As a tropical archipelagic country with abundant solar energy potential, Indonesia is increasingly committed to integrating renewable energy into the national electricity system. However, integrating SPP also has several drawbacks to the electrical system. For instance, there is an absence of inertia in SPP because the SPP does not contain rotating machines, and the intermittency is due to SPP power production being highly dependent on the availability of sun irradiance. This research analyzes the effects of SPP penetration on the existing electrical system. Newton Raphson load flow, three-phase line-to-ground short circuit, and transient disturbance are used to investigate the impact of SPP penetration. The results show that the SPP penetration enhances the voltage steady state profile due to the additional active power from SPP. Furthermore, there are no increasing short circuits due to the characteristic of an inverter with no impedance. In addition, the transient response has an effect as SPP has no inertia. Hence, the system tends to experience swings in conditions.
Reliability Improvement of Defense Scheme Implementation Using Adaptive Load Shedding Based On System Strength Index Widyantara, Dwitiya Bagus; Garniwa, Iwa; Jufri, Fauzan Hanif
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 3 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i3.150

Abstract

One of the defense schemes in power systems is Under Frequency Load Shedding (UFLS), designed to mitigate cascading blackouts caused by frequency disturbances. UFLS operates based on predetermined frequency thresholds and time delays, which inherently characterizes it as a static protection mechanism and may cause unnecessary excessive or insufficient load shedding. Therefore, an Adaptive Load Shedding (ALS) approach started to gain popularity, which enables load shedding based on real-time conditions, particularly during generator outages. In this research, a comparative analysis is conducted between the conventional UFLS method and a newly developed ALS scheme that integrates the System Strength Index (SSI) to improve the system's reliability, as evaluated by Energy Not Served (ENS). The proposed ALS algorithm processes real-time feeder load data, ranks the feeders by load magnitude in descending order, and optimizes the load shedding setpoints by incorporating the SSI. The proposed method is simulated in the Flores power system model using actual historical data for two load conditions: the highest and the lowest. The results show that the proposed method outperforms the conventional UFLS by 7.31% in terms of improved ENS.
Co-Authors Ali, Haidar Azhar, Fakhrudin Budi Sudiarto Hudaya, Chairul Husnayain, Faiz Iwa Garniwa Marbun, M Muhammadia, Khayrunnisa B Nasution, Eldi Firmansyah Oh, Seongmun Putra, Kharisma Darmawan Salile, Ahmad Yusuf Samual, Muhammad Gillfran Sibarani, Michael Bonardo Siswono Warih, Gamal Fiqih Handono Widayat, Aditya Anindito Widyantara, Dwitiya Bagus