Indonesian Journal of Electrical Engineering and Renewable Energy (IJEERE)

Review of AC High Voltage Generation Methods: Portable and Economical Generation Approach

Furqon M.Chaisar Al Furqon — 2024-12-24

Although high voltage generation technology exists, its implementation in small-scale or portable applications remains a significant challenge. This underscores the urgent need to develop more accessible, flexible, and affordable high voltage generation technologies, particularly for field applications and small to medium-sized enterprises. This research reviews various existing methods of AC high voltage generation and evaluates their potential for portable and economical applications. Methods such as high-frequency inverters, Tesla coils, Marx generators, H-Bridge generators, switchable capacitor arrays, and dual flyback transformers are assessed for their portability and economic feasibility. The findings indicate that these reviewed AC high voltage generation methods offer practical and economical solutions for various applications, including plasma research, oil drilling, and medical applications. By leveraging compact and relatively inexpensive technologies, this research has the potential to enhance the efficiency and flexibility in developing high voltage generation systems for industrial and research purposes in the future.

Investigation of Insulating Material Application: Affordable and Optimal Use of Epoxy Resin Filler

Zaki Fairuz Ghani — 2024-12-24

Insulation materials come in various types and applications, leading to diverse pricing and effectiveness. One common type is epoxy resin, where the choice of filler materials can significantly impact its performance. Proper mixing can enhance the insulation's resistance to phenomena such as flashover, leakage current, and mechanical stress.This study conducted a literature review focusing on various filler materials, including rice husk ash, high-calcium sand, and corn cob ash. Experiments in the study examined leakage current and flashover characteristics of these insulation materials. The findings indicate that high-calcium sand can withstand higher conductive paths, corn cob ash exhibits stronger dielectric characteristics, and rice husk ash provides a more cost-effective filler option for insulation purposes.

Power Flow Analysis Of High-Voltage Networks at PT. PLN ULP Serang Using ETAP 19.0

Naufal Gibran — 2024-12-24

Penelitian ini membahas analisis aliran daya jaringan tegangan tinggi pada PT. PLN ULP Serang menggunakan program ETAP 19.0.1. Tujuan penelitian ini adalah untuk meningkatkan kualitas jaringan distribusi tenaga listrik dengan mengurangi jatuh tegangan. Penelitian ini dilakukan di PT. PLN ULP Serang, Kota Serang, Banten. Data yang digunakan meliputi single line diagram sistem 20 kV, data trafo distribusi, data penghantar, dan data pembebanan trafo distribusi. Penulis melakukan perhitungan dan simulasi perbaikan penampang penghantar menggunakan program ETAP. Hasil simulasi menunjukkan bahwa uprating penghantar dapat mengurangi jatuh tegangan dan rugi-rugi daya pada jaringan. Penelitian ini berharap dapat memberikan kontribusi pada peningkatan kualitas jaringan distribusi tenaga listrik dan meningkatkan kepuasan pelanggan.

DEVELOPMENT OF A MODEL FOR PREDICTING ELECTRICAL ENERGY DEMAND AT PT. PLN (PERSERO) ULP BANGKO

NABILA ARDHANA — 2024-12-24

Enhancing the sustainability and efficiency of electricity consumption has become a primary focus in energy resource management. In this context, developing electricity demand forecasting models is of paramount importance. This research aims to develop an effective and accurate model for predicting electricity demand based on historical data across various sectors of society. The methods to be employed include simple linear regression, time series analysis, and exponential smoothing, which will be visualized using Visual Basic. Based on historical data from PT. PLN (Persero) ULP Bangko from 2013 to 2023, it is recorded that there are 958,598 installed customers with various electricity tariffs and a total installed capacity of 1210.2 MVA. Research findings indicate a potential increase of 105.64% in installed capacity and 90.88% in the number of customers over the next 20 years.

Multilayer Perceptron Application in Electricity Consumption Forecasting from Wind Power

Meftah Elsaraiti — 2024-12-24

In the context of increasing global demand, and the importance of renewable energy sources. There is a need to focus on renewable energy management and explore more efficient sources of energy generation. In recent years, the rise of the transition from fossil energy to renewable energy and its decreasing cost have posed new forecasting problems of interest to researchers, namely, the knowledge in advance of the electricity consumption that wind power plants may generate in the future. Recognizing the need to improve renewable energy management as a strategy to search for better and more efficient sources of energy generation, a system for forecasting the generation of electricity consumption by wind power using neural networks is proposed that allows maximum utilization of the potential that can produce wind power. A backpropagation neural network is used as an artificial intelligence component to accurately predict electricity consumption. The network is a multi-layer perception (MLP) network that uses a reverse transcription learning algorithm to train a feed-forward neural network to perform a specific task. The Levenberg-Marquardt algorithm is used to improve network training and evaluate its performance. In this study, the suggested approach trains the feed-forward neural network for the specified task using a multi-layer perception (MLP) network and a backpropagation learning method. By modifying the weights of the connections between neurons, the number of neurons in the hidden layers is optimised in order to reduce the output error in comparison to the desired target values and achieve high accuracy. Support vector machine (SVM) and auto-regressive integrated moving average (ARIMA) models' performances are compared to those of the suggested model.

EFFECT OF CHANGES IN SYNCHRONOUS GENERATOR LOAD ON THE EXCITATION SYSTEM CASE STUDY OF PT. PLN INDONESIA POWER UPK PLTA MANINJAU

Furqon M.Chaisar Al Furqon — 2024-12-24

Generators play an important role in providing electrical energy in power systems. Changing loads on generators in an interconnected system can cause voltage instability. The generator voltage can be regulated through excitation current, which is a DC electrical supply that amplifies the field in the generator to produce electrical energy with an output voltage that depends on the excitation current. The purpose of this study is to analyze the effect of synchronous generator load changes on the excitation system on the generator and the effect of excitation current on the generator voltage of unit 2 of Maninjau Hydroelectric Power Plant. The type of excitation system at Maninjau Hydropower Plant is an excitation system with PMG, the output voltage of unit 2 generator of Maninjau Hydropower Plant is 10 kV. The method used in this research is by looking at the data read on the generator load data and the excitation current read on the DCS parameters. Furthermore, from the data obtained, the generator voltage value is in the range of 10.3 kV - 10.6 kV. This shows that the AVR component works well in reading and giving commands in regulating the generator output voltage. From the data obtained, the value of load changes in the generator affects the value of the injected excitation current. The lowest load is at 10.4 MW with an injected excitation current value of 8 A and the generator voltage is at 10.6 kV, while the largest load is at a value of 16.5 MW with a higher excitation current value.