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Studi Pengaruh Kelembapan dan Polutan pada Kinerja Isolator Arrester 20 kV Naufal Hilmi Fauzan; Sasongko Pramonohadi; Muhammad Ariq Achnida Syam; Rafi Ramadhana Ardiantara
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 2: Mei 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i2.6324

Abstract

An arrester is a device that serves to protect equipment from dielectric failure caused by lightning impulses, switching surges, or voltage spikes that exceed an equipment’s dielectric capability. The majority of arresters have an event counter installed, which is used to track how frequently they have been in use. In humid and heavily polluted environmental conditions, it is very easy for surface discharge to occur on the isolator. Surface discharge is a discharge that occurs in an area directly related to a dielectric surface that has an excess electric field, thus triggering a discharge. If a surface discharge continues to happen, it can result in a flashover. Flashover that hits part of the event counter can make the event counter experience error, so it does not show the correct number. In addition, the performance of the event counter will be disrupted. For this reason, it is necessary to test the arrester insulators with three schemes: clean condition insulators, humid condition insulators, and insulators with humid and polluted conditions. In this experiment, pollutants were used with an equivalent salt deposit density (ESDD) value of 4.69 mg/cm2 and a nonsoluble deposit density (NSDD) value of 1.8841 mg/cm2. According to the experiment results, it was found that there was a decrease in the ability of arrester insulation to withstand voltage caused by humidity and pollutants. Humidity decreased breakdown voltage (BDV) by 5.8 kV for every 5% increase in humidity, while pollutants decreased BDV by 59 kV when the insulator was exposed to pollutants.
PEMETAAN ELEKTROPORASI PADA JARINGAN BIOLOGIS TERPAPAR DENYUT LISTRIK (Electroporation Mapping on Electric Pulse Exposed Biological Tissue) Sasongko Pramono Hadi
Jurnal Manusia dan Lingkungan Vol 18, No 3 (2011): November
Publisher : Pusat Studi Lingkungan Hidup Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jml.18444

Abstract

ABSTRAKElektroporasi jaringan telah dipakai sebagai teknik untuk memudahkan masuknya molekul-molekul ke dalam sel dengan memberikan denyut listrik pada suatu luasan jaringan dalam tubuh. Kesuksesan suatu elektroporasi ditentukan oleh prosedur penerapan, property dan obyek paparan. Tujuan penelitian ini adalah untuk membuat peta elektroporasi pada jaringan biologis tertentu yang terpapar denyut listrik. Jaringan biologis dimodelkan sebagai bahan dielektrika dengan parameter konduktivitas dan permitivitas. Medium dielektrika ini adalah suatu sistem elektrostatik yang memiliki model matematis berbentuk persamaan diferensial parsial. Metode elemen hingga (Finite Element Method, FEM) digunakan sebagai cara untuk penyelesaian masalah. Hasilnya berupa grafik yang memperlihatkan potensial dan medan listrik. Dari simulasi numerik diperoleh hasil bahwa kerapatan medan lebih tinggi pada tempat di sekitar elektroda dan lebih rendah di tempat lainnya yang jauh dari elektroda. Melalui simulasi numeris, suatu peta elektroporasi reversible jaringan biologis yang terpapar denyut medan listrik dapat dibuat dan dapat digunakan sebagai petunjuk bagi praktisi untuk terapi berbasis elektroporasi dengan lebih akurat, berhasil, dan aman.ABSTRACTTissue electroporation is a technique that facilitates the introduction of molecules into cells by applying an electric pulse to certain areas of body. The success of electroporation is determined by procedur of application and the properties of the exposure and object. The aims of this research is to develop an electroporation map on a specific biological tissue being electric pulse exposed. The biological tissue is modeled as dielectric medium with conductivity and permittivity. This medium as a system of electrostatic, modeling of this system leads to get a mathematical model in the form of partial different equation problems. A Finite Element Method (FEM) is used as a tool to solve the problem. The simulation results are graphical presentations showing  the potential dan electric field. It is also shown that the density of the field is higher in the location near electrode and smaller in remote location. A map of electroporation, based on the map of electric field exposure is then can be used as a guidance to practitioner for accurate, successfully and safe electroporation therapy.
Unit Commitment dengan Kekangan Keandalan Menggunakan Algoritme Genetika Mempertimbangkan Ketidakpastian Beban Sarjiya; Sasongko Pramono Hadi; Daniar Rizki Wijayanti
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (762.666 KB)

Abstract

Unit commitment problem is associated with satisfying load demand and minimizing the total operating cost of the generating unit without violation of unit and system constraints. The solution of unit commitment should be reliable which has adequate spinning reserve in order to anticipate the uncertainty issue. This research proposes a method to handle two uncertainty issues, i.e. unit unavailability and load forecast uncertainty. The unit commitment problem is solved by genetic algorithm with priority list approach. The evaluation of spinning reserve capacity is based on probabilistic criterion by incorporating two reliability indices, i.e. loss of load probability (LOLP) and expected unserved energy (EUE). The effectiveness of the proposed method is tested using IEEE Reliability Test System-1996. The simulation results show that the proposed method is capable for solving unit commitment problem at total operational cost of $ 722186.93 and risk index at 0.347% (while EUE 0.01%, LOLP 1% and standard deviation (SD) 5%). The simulation results also demonstrate that several solution of the method have slightly lower cost up to 0.43% than those obtained in benchmark which the solution based on Simulated Annealing method.
Prakiraan Beban Listrik Menggunakan Metode Jaringan Saraf Tiruan dengan Data yang Terbatas Elang Bayu Trikora; Sasongko Pramonohadi; M. Isnaeni Bambang Setyonegoro
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 3: Agustus 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i3.6437

Abstract

As time changes, electric load demand forecasting is one of the vital things in generation and distribution planning. Various ways can be implemented in forecasting electrical energy demands, one of which is by using the artificial neural network method, which is a method that mimics the ability of the human brain to receive an input and then carry out processing between the neurons within to produce information based on the processes that occur within the neurons. This research uses a neural network method to forecast the electric load in Jayawijaya Regency. This research builds a neural network architecture suitable to the data obtained from National Electricity Company (Perusahaan Listrik Negara, PT PLN Indonesia) UP 3 Wamena to find an architecture model suitable with high accuracy. Due to the limited data owned to forecast electric load, an interpolation method based on the owned original data was carried out to increase the amount of the existing data. In this way, more data can be used as input, allowing the model to forecast load requirements more accurately. These propagated data were used as input data in the artificial neural network model. After conducting iterative testing using a neural network, it is found that the model that fitted the data was feed-forward long short-term memory (LSTM) network, this model can obtain errors in accordance with the standards of a model to perform forecasts of 0.04% with nine epochs.
A Review of Potential Method for Optimization of Power Plant Expansion Planning in Jawa-Madura-Bali Electricity System Setya Budi, Rizki Firmansyah; Sarjiya, Sarjiya; Hadi, Sasongko Pramono
Communications in Science and Technology Vol 2 No 1 (2017)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.2.1.2017.41

Abstract

The paper contains a literature review to obtain an optimization method that potentially can be used to optimize power plant expansion of Jawa-Madura-Bali (Jamali) power system in 2015-2050. An optimization model that can represent auction process and direct appointment of IPP by considering the long term period (multi-period framework) and multi-objective function (economical, reliable, and environmentally friendly), is needed. Based on the literature review that has been done, it is obtained the method that potentially can be used for the Jamali optimization is game theory with multi-period, bi-level and multi objective optimization method. Game theory is used to represent the auction process and direct appointment of IPP. Multi-period is used to represent the long term period from 2015-2050. Multi-objective optimization method is used to represent the aspects of cost, reliability, and CO2 emission which are considered in the optimization process
Optimising Agrivoltaic Systems: Identifying Suitable Solar Development Sites for Integrated Food and Energy Production Tri Nugroho, Apri; Pramono Hadi, Sasongko; Sutanta, Heri; Adikara Ajrin, Hyatma
Journal of Power, Energy, and Control Vol. 1 No. 1 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v1i1.3

Abstract

This study explores the integration of food and energy systems as a solution to address agricultural challenges in the dryland region of Gunungkidul Regency. Facing water scarcity issues, the region's abundant solar irradiation potential presents an opportunity for co-locating food and energy production, specifically through the implementation of an agrivoltaic system. Seven sub-districts had been designated in the local government regulations for solar energy development sites, including Gedangsari, Nglipar, Ngawen, Purwosari, Saptosari, Tanjungsari, and Tepus. Ten criteria and five constraints were established to assess their suitability for agrivoltaic systems. Utilising map overlay analysis and integrating GIS-MCDA with Fuzzy and AHP methodologies, three sub-districts—Semanu, Wonosari, and Tepus—emerged as the most suitable locations. Each sub-district boasts substantial total areas of 1,779.9 Ha, 1,325.5 Ha, and 1,147.21 Ha, respectively, with Tepus aligning with the local government's solar energy development plan. This comprehensive approach ensures that the selected locations meet both energy development goals and the potential for successful agrivoltaic implementation. In conclusion, this study demonstrates the feasibility of implementing food and energy combinations through an agrivoltaic system in Gunungkidul Regency, providing insights into suitable sub-districts and emphasising the importance of aligning regional energy plans with sustainable agricultural practices on arid land.
Studi Penerapan Power Wheeling Pembangkit Fotovoltaik Dengan Metode MW-km Muhammad Bhayu Bramantyo; Sasongko Pramonohadi; Sarjiya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 1: Februari 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i1.6332

Abstract

Efforts to mitigate carbon emissions within the electricity sector involve the implementation of environmentally sustainable renewable energy sources. Photovoltaic (PV) generation, functioning as a distributed generation (DG), represents a current trend in renewable energy installations. A distributed generation (DG) is situated near the load within distribution networks. When applied, a PV-DG influences the magnitude of power losses within existing electrical networks, subsequently impacting associated energy loss expenses. Additionally, adequate land availability is required for the PV-DG installation. The cooperation between PV-DG power providers and load partners is conducted remotely, resulting in distribution challenges. The construction of distribution lines by business actors to evacuate their electricity production is almost impossible. Distribution network rental emerges as an interesting solution, i.e., through a distribution network collaborative utilization scheme or power wheeling. This study seeks to examine the implementation of power wheeling of PV generation within the IEEE 33-bus distribution network system, by finding the location of the bus placement of the PV wheeling generation that results in the smallest total energy loss cost and distribution network rental cost. The MW-km method served as the basis for calculating network rental expenses. Moreover, this study incorporated the land availability associated with each bus. Findings indicate that positioning the PV wheeling generation at bus 8 yielded minimal total annual energy loss and distribution network rental costs. It indicates that the placement of a wheeling PV generation in arbitrary places does not necessarily result in the smallest total energy loss costs and distribution network rental costs.
METODE KALIBRASI SENSOR RATE-GYROSCOPE UNTUK IMU ROKET [CALIBRATION METHOD OF RATE-GYROSCOPE SENSOR FOR IMU ROCKET] Wahyudi; Susanto, Adhi; Widada, Wahyu; Hadi, Sasongko Pramono
Indonesian Journal of Aerospace Vol. 10 No. 2 Desember (2012): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rate-gyroscope sensor is used in the IMU to measure the rotation angle in three axes. The output of rate-gyroscope sensor is a voltage which is the angular rate, so to obtain the angle used once an integral process. The integral result of rate-gyroscope sensor depend on sampling time or the cycle time of program to get the datum, so the integral calculation depends on the processor speed of microcontroller (computer). Using of the different sampling time will affect the integral result or in other words we can say that for the same program, if we apply it to a different microcontroller, we will obtain the different calculation. This paper presents the calibration method for determining the calibration factor on the rate-gyroscope sensor, so we will get the actual angle value. The rate-gyroscope sensors on different axes have different characteristics, so each sensor needs to be calibrated. In the experiment results, the calibration factors in three axes are different in both for the clockwise rotation and counterclockwise rotation.