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Analysis of Additional Generation Planning in the Batam-Bintan Power System to Improve Reliability Purba, Kevin Pangestu; Garniwa, Iwa
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.v3i2.133

Abstract

The Batam-Bintan electrical system encounters operational challenges due to inadequate new power plants being commissioned to meet the increasing demand. Bintan Island's supply dependency on Batam Island through the undersea cables and 150 kV SUTT places operational stress systemically and adds vulnerability to disruption. The focus of the research is to optimize the system reliability through peak load forecasting up to 2030 and refining the strategic locations and sizes for the new power plants. The calculation forecast employs a second-order polynomial regression method, whereas the load flow analysis is performed with DIgSILENT PowerFactory 2022 software. Based on the research, the peak load is expected to grow from 675.2 MW in 2024 to 1,322.1 MW by 2030. To attain reliability, 940 MW of additional generation capacity is required, which is made up of 580 MW of DG (distributed generation) and 360 MW of central generation. The placement of DG is focused on substations that are overloaded or approaching overload, while centralized generation is positioned where power loss is lowest. The evaluation results indicate the additional generation makes it possible to maintain voltage stability, reduce dependence on PLTU XYZ and meet the reserve power requirement of a 35% power margin.
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.
Energy Audit and Assessment of Energy Saving Opportunities Using Analytical Hierarchy Process in Public Health Center Buildings in Jakarta to Optimize Energy Efficiency Monika, Ratih; Garniwa, Iwa
International Journal of Computer and Information System (IJCIS) Vol 6, No 2 (2025): IJCIS : Vol 6 - Issue 2 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i2.236

Abstract

The Government of Indonesia has issued a regulation through Government Regulation No. 33 of 2023, mandating central and regional governments to implement energy conversion efforts. Conducting energy audits in public health center buildings in Jakarta has become an essential step toward realizing concrete energy conservation actions. This study was conducted at the XYZ District Public Health Center with the objectives of assessing energy consumption patterns, identifying potential energy-saving opportunities, and determining the prioritized recommendations to optimize energy efficiency. The audit findings indicate that the building still holds an energy-saving potential of 54.66%, with an estimated annual saving of 146,204.95 kWh or approximately IDR 139,625,731. If energy-saving strategies are applied on a broader scale, Jakarta's potential energy savings could reach 0.43%, or about 6,433,017.8 kWh/year, equivalent to IDR 1,030,598,693/year. At the national level, potential energy savings could reach 19.5%, amounting to 1,030,598,692.55 kWh/year or IDR 984,221,777,819/year. To assist public health center management in determining the prioritization of energy-saving opportunities, this study employed the Analytical Hierarchy Process (AHP) method using 4 criteria and 8 alternatives based on the energy audit recommendations. Expert assessments involving representatives from the health center, government, and practitioners determined that the priority order for the criteria level: ease of implementation, implementation cost, impact on service, and energy-saving potential. Meanwhile, the prioritized alternatives level: AC temperature setting, socket management, reduction in AC infiltration load, lighting operation management, AC operation management, AC maintenance, application of motion sensor technology, and replacement of energy efficient air conditioning technology.
Techno-Economic Feasibility Analysis of a Small-Scale Waste-to-Energy Power Plant as a Supporting Electricity Source: A Case Study on Sabira Island Harahap, Saskia Saraswati; Garniwa, Iwa
International Journal of Computer and Information System (IJCIS) Vol 6, No 2 (2025): IJCIS : Vol 6 - Issue 2 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

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

Abstract

This study explores the techno-economic feasibility of establishing a small-scale waste-to-energy (WTE) power plant using anaerobic digestion technology on Sabira Island, one of the outermost islands of Jakarta, Indonesia. As an isolated area with limited energy access and increasing organic waste generation—estimated at around 1 to 1.2 tons per day—Sabira presents both an environmental challenge and a renewable energy opportunity. Through the conversion of organic waste into biogas, which can then be used to generate electricity, this project seeks to address waste management issues while contributing to sustainable energy production in remote regions. A comprehensive techno-economic analysis was conducted, incorporating factors such as capital and operational costs, biogas yield potential, energy conversion efficiency, and local electricity pricing. Two different electricity selling price scenarios were evaluated to determine financial viability. The results show that under the first pricing scheme, the project fails to meet the minimum return expectations, whereas the second scenario demonstrates acceptable economic performance, suggesting that the project can be considered feasible if more favorable electricity tariffs are adopted. The study concludes that successful implementation of such a WTE system would depend not only on technical and economic parameters but also on supportive policy frameworks, appropriate pricing mechanisms, and access to clean energy financing. The findings offer valuable insights for policymakers and stakeholders aiming to promote decentralized renewable energy solutions in Indonesia’s remote islands.
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.
Risk Assessment of Solar Power Plant Development in Indonesia Using The Analytic Hierarchy Process Method Ginting, Frederick Sakaja; Garniwa, Iwa
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.v3i3.110

Abstract

The Ministry of Energy and Mineral Resources is committed to building Solar Power Plant in Indonesia with the aim of increasing the national electrification ratio and ensuring equitable energy access, especially for people who have not enjoyed electricity. This study aims to determine what risk factors exist in the construction of Solar Power Plant and conduct a risk assessment using the Analytic Hierarchy Process (AHP) method. The results of the analysis show that there are 7 criteria and 38 risk sub-criteria. The project risk criterion has the highest weight with an expert value of 25.2%, self-assessment 36.9% and employees 2.2%. In the sub-criteria, the provider is late in completing the work, it has the highest weight with an expert value of 6.7%, self-assessment 10.6% and employees 0.1%.
Optimization of Preventive Maintenance Planning for the Motor Cooling System at PLTGU Using Differential Evolution Putranugraha, Derry; Garniwa, Iwa
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.v3i3.132

Abstract

Determination of the optimal preventive maintenance time of the three-phase induction motor (88WC) during operation at 380V in the cooling system of the Semarang Gas and Steam Power Plant (PLTGU) is done by combining the Power-Law Non-Homogeneous Poisson Process (NHPP) model and the Differential Evolution (DE) Algorithm to achieve minimum total maintenance cost. The parameters of NHPP, β = 1.75 and η = 7,198.99 hours, are estimated using the least squares method from the historical failure data for the 2020–2024 period, recording failures beyond 20,000 operating hours. The DE optimization results provide the optimum PM time of 371.60 hours to reduce the total cost from IDR 28,198,935 (for the 500-hour interval) to IDR 20,299,822, achieving a cost savings of 38%. Validation is performed using Monte Carlo simulations with 1,000,000 iterations that yield a pre-optimization failure probability of 0.56%. Sensitivity analysis using a ±20% parameter variation also proves the model's robustness. This data-driven framework is thus anticipated to increase the reliability and cost-effectiveness of the PLTGU cooling system and is scalable to other power-generating facilities
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.