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Analysis of Power Transformer Insulation: A Case Study in 150 kV Bantul Substation Hidayat, Arief Rahman; Jamal, Agus; Chamim, Anna Nur Nazilah; Syahputra, Ramadoni; Jeckson, Jeckson
Journal of Electrical Technology UMY Vol 3, No 2 (2019): June
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.3254

Abstract

Insulation of the transformer is one of the essential components. So that the quality of the resistance in the isolation of the transformer is essential to note the condition, in order to find out the condition of the transformer isolation, several tests must be performed, namely the polarization index, delta tangent, and break down voltage. In this study, all three tests were carried out on Transformer 1 in the 150 kV Bantul substation. Polarization index testing itself is testing the leakage current on the transformer isolation by comparing the test results for 1 minute with the results of the 10-minute drive test. While delta tangent is testing capacitive leakage current in the isolation transformer, and break down voltage is a test of the ability of the breakdown voltage in transformer insulation oil. Based on the results of the analysis, it can be seen that the value of the transformer polarization index in 2016 and 2018, the average value between the windings has been in the rating of 1.25-2.0. As for the delta tangent test results in 2016 and 2018, the value between the capacitive parts is already in the rating of 0.18% -0.36%. For the breakdown voltage test results in 2016 and 2018, the average breakdown voltage value is 43.9 kV/mm - 65.5 kV/mm. From these data, it can be concluded that the transformer isolation conditions in 2016 and 2018 are in good condition, although there was a decline in the transformer isolation conditions in 2016. However, the National Electric Company has made repairs and maintenance of the isolation transformer. This is seen due to an increase in the quality of transformer insulation in 2018. Repair and maintenance of transformer insulation are done to maximize the work system and the life of the transformer.
Analisis Kinerja Metode Fuzzy Teroptimasi PSO untuk Strategi Kendali MPPT pada Sistem Solar Photovoltaic Soesanti, Indah; Syahputra, Ramadoni
Jurnal Teknik Elektro Vol 13, No 2 (2021): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v13i2.33477

Abstract

A fuzzy control system has been widely used in various problem solving. Its performance can be optimized using particle swarm optimization (PSO). This performance can be proven by applying it to the maximum power point tracking (MPPT) control strategy on solar photovoltaic systems. Solar photovoltaic power generation systems are increasingly popular because they are clean and renewable energy sources. The power generated by solar photovoltaic is strongly influenced by solar irradiation and the load carried. In order to obtain maximum power output, an MPPT control strategy is needed. An MPPT control strategy based on fuzzy and PSO hybrid control systems is proposed in this research. The fuzzy-PSO method selects and produces the optimal duty cycle for the boost dc-dc converter in a solar photovoltaic system. Variable duty cycle due to solar irradiation and load changes can be conditioned by the fuzzy-PSO-based MPPT method to extract maximum power. The research results show that the fuzzy-PSO method can control the solar photovoltaic output voltage through a dc-dc converter to produce maximum power at various solar irradiations. Test result by applying a resistive load produces output power at the maximum point. The best result is obtained in the 100 Ohm load test: the response time of 0.0818 seconds and excellent robustness.
Reconfiguration of Distribution Network with Distributed Energy Resources Integration Using PSO Algorithm Ramadoni Syahputra; Imam Robandi; Mochamad Ashari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 3: September 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i3.1790

Abstract

This paper presents optimal reconfiguration of radial distribution network with integration of distributed energy resources (DER) using improved particle swarm optimization (PSO) algorithm. The benefits of DER integration in distribution system are reducing power losses, improving voltage profiles and load factors, eliminating system upgrades, and reducing environmental impacts. However, the presence of DER could also cause technical problems in voltage quality and system protection. Reconfiguration of distribution network is aimed to minimize power loss and to improve voltage quality in order to enhance the distribution system performance. In this study, reconfiguration method is based on an improved PSO. The method has been tested in a 60-bus Bantul distribution network of Yogyakarta Special Region province, Indonesia. The simulation results show the importance of reconfiguring the network for enhancing the distribution system performance in the presence of DER.
Distribution Network Optimization with Scattered Generator Integration Using Immune-Clonal Selection Method Ramadoni Syahputra; Indah Soesanti
Emerging Science Journal Vol 5, No 6 (2021): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01312

Abstract

This paper proposes distribution network optimization with scattered generator integration using the immune-clonal selection (ICS) method. Nowadays, the high popularity of scattered generators (SG) has made distribution networks essential to manage appropriately. This interest is because SG is usually injected into the distribution network due to the ease of accessing the network and the voltage level of the distribution network, which is easier for SG to reach. However, the presence of SG as a distribution network is increasingly dynamic, so that appropriate techniques are needed to achieve adequate network performance through network optimization. The ICS method is expected to be the right solution for this task. The ICS technique was chosen for its excellence in accurately optimizing for multi-objectives while avoiding premature convergence to local minima. The ICS approach was applied to IEEE model distribution networks of 33-bus and 71-bus. The optimization results show that the effectiveness and superiority of the ICS method, which is indicated by shallow power losses with a better voltage profile, and the load balance on each feeder is maintained. Doi: 10.28991/esj-2021-01312 Full Text: PDF
Hosting Capacity Distribution System Yogyakarta with Ant Lion Optimization: A Case Multiobjective Riki Khomarudin; Jimmy Trio Putra; Ramadoni Syahputra; Anna Nur Nazilah Chamim
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20473

Abstract

Penetration of hosting capacity in radial type power distribution systems aims to increase the voltage profile on the end customer side. The more electricity customers increase, the more electricity user load growth will increase. This results in a voltage drop on the end customer side in the radial distribution system, characterized by a voltage exceeding the minimum standard operating acceptable voltage. This paper aims to provide solutions to cases in radial grid type power systems in solve voltage drops. The addition of hosting capacity for distributed renewable energy generators is one of the goals to increase the capacity of the electricity system. This research uses the Ant Lion Optimization algorithm method to try to find the optimal location and capacity of Distributed Generation in the electric power distribution system. Penetration hosting capacity injects renewable energy generation in the form of solar cells. The simulation results show that the increased voltage profile in the electric power distribution system exceeds the minimum voltage drop standard. So that in reducing power losses in the radial type network.
Prototipe Sistem Monitoring pada Pembangkit Listrik Tenaga Mikrohidro Ramadoni Syahputra; Revi Muhammad Fasha; Anna Nur Nazilah Chamim; Kunnu Purwanto
Semesta Teknika Vol 25, No 1 (2022): MEI 2022
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v25i1.13180

Abstract

Energi potensial hidro, sumber energi baru dan berkelanjutan yang mencakup pembangkit listrik tenaga mikro-hidro, penting untuk dikembangkan sebagai sumber daya alternatif yang sangat bermanfaat bagi lingkungan. Pengaturan inlet air mikro hidro saat ini masih dilakukan secara manual. Hal ini menjadi perhatian karena memerlukan banyak sumber daya manusia dan jika dilakukan secara manual, akurasinya tidak terlalu baik. Sebelumnya, sistem pemantauan hanya dapat diamati di dekat generator dan tidak dari jarak jauh. Dalam penelitian ini dikembangkan sistem monitoring sehingga dapat diakses kapan saja dan dari lokasi manapun menggunakan aplikasi smartphone. Saluran masuk air dirancang untuk diatur secara otomatis menggunakan aplikasi smartphone untuk mengatasi masalah tersebut. Hasil penelitian menunjukkan bahwa sistem yang telah dibangun dapat bekerja dengan baik.
Model Power System Stabilizer Berbasis Neuro-Fuzzy Adaptif Agus Jamal , Ramadoni Syahputra
Semesta Teknika Vol 14, No 2 (2011): NOVEMBER 2011
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v14i2.543

Abstract

Low frequency oscillations are detrimental to the goals of maximum power transfer and optimal power system security. A contemporary solution to this problem is the addition of power system stabilizers (PSS) to the automatic voltage regulators on the generators in the power system. For large scale power systems comprising of many interconnected machines, the PSS parameter tuning is a complex exercise due to the presence of several poorly damped modes of oscillation. The problem is further being complicated by continuous variation in power system operating conditions. This research proposes the PSS model based on adaptive neuro-fuzzy for designing robust power system stabilizers for a multi machine system. Simulations were carried out using several fault tests at transmission line on a Two-Area Multimachine Power System. Simulation is done by using Matlab-Simulink software. The result shows that power transfer response using the model is more robust than Delta w PSS, especially for single phase to ground fault.
Analisis Indeks Keandalan Pembangkit Listrik Tenaga Hibrid Angin-Surya Menggunakan Metode EENS Ramadoni Syahputra; Fahrian Noor; Faaris Mujaahid
Semesta Teknika Vol 23, No 1 (2020): MEI 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v23i1.9602

Abstract

Pengembangan sumber energi terbarukan, terutama pembangkit listrik tenaga angin dan surya sangat penting di Indonesia. Hal ini disebabkan kedua jenis pembangkit tersebut dinilai paling potensial dan realistis untuk mendukung program pengembangan energi terbarukan di Indonesia. Dalam penelitian ini disajikan studi tentang indeks keandalan pembangkit listrik hibrid tenaga angin dan surya. Metode untuk menganalisis indeks keandalan adalah metode EENS (expected energy not supplied). Dalam penelitian ini dilakukan analisis lapangan pada pembangkit listrik yang telah beroperasi di Kabupaten Bantul Provinsi Daerah Istimewa Yogyakarta. Hasil penelitian menunjukkan bahwa nilai EENS masih belum memenuhi standar yaitu 0,002% per tahun. Studi yang dilakukan pada tahun 2019 ini menyimpulkan bahwa pembangkit listrik hibrid berbasis tenaga angin dan surya ini belum dapat diandalkan untuk mendukung ketersediaan energi listrik di wilayah Bantul.    The development of renewable energy sources, especially wind and solar power plants, is very important in Indonesia. This fact is because these two types of power plants are considered the most potential and realistic to support renewable energy development programs in Indonesia. In this research, a study on the reliability index of wind and solar-based power plants is presented. The method for analyzing the reliability index is the EENS (expected energy not supplied) method. This study conducted a field analysis on a power plant that has been operated in Bantul district, Yogyakarta Special Region province. The results of the study show that the EENS value still does not meet the standard, namely 0.002% per year. The study conducted in 2019 concluded that wind and solar-based hybrid power plants could not be relied on to support the availability of electrical energy in the Bantul area.     
Distribution Network Efficiency Improvement Based on Fuzzy Multi-objective Method Ramadoni Syahputra; Imam Robandi; Mochamad Ashari
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.422

Abstract

This paper presents a reconfiguration methodology based on a fuzzy multi-objective approach for achieving the minimum active power loss and the maximum voltage magnitude of radial distribution networks with distributed generations in order to improve the distribution system efficiency. Multi-objective function are considered for load balancing among the feeders, minimization of the real power loss, and deviation of bus voltage, while subject to a radial network structure in which all loads must be energized. These objective functions are modeled with fuzzy sets to evaluate the imprecise nature of each objective. Originality of the research is that the fuzzy-based multi-objective optimization in reconfiguration of distribution network including the distributed generation. The implementation of the fuzzy multi-objective for distribution reconfiguration on a 77 bus distribution network with distributed generation is described. The simulation results show that a 1.80% of electric power distribution network efficiency improvement is achieved by the method
Power Flow Control of Power Systems Using UPFC Based on Adaptive Neuro Fuzzy Agus Jamal; Ramadoni Syahputra
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.423

Abstract

Optimization of system capacity electric power transmission systems requires a reliable power flow controller. The power flow controllers must be able to control the level of electrical voltage and active and reactive power flow without reducing the level of stability and security of the transmission system. Latest technology in the control of power flow is a Unified Power Flow Controller (UPFC). The entire transmission line parameters are impedance, voltage, and phase angle can be controlled simultaneously by the UPFC. The method used in the conventional algorithms based UPFC is still firmly with logic. These algorithms have difficulties to electric power transmission systems multimachine very dynamic, i.e. systems that are experiencing rapid changes in the electrical load from time to time. Therefore, in this study was developed based on neuro-fuzzy method is applied to the adaptive UPFC for adaptively controlling the power flow in electric power transmission systems multimachine very dynamic. In this study, three phase fault is applied to the multimachine system. The results are taken to be consideration of PI and neuro-fuzzy controllers. The PI and neuro-fuzzy controllers show nearly same results but there is a low overshoot occurred during the fault in the neuro-fuzzy controllers results. According to results that UPFC improves the system performance under the transient and the normal conditions. However, it can control the power flow in the transmission line, effectively.