8 research outputs found

    Development of Alternative Energy Transition Scenarios for Electricity Utility Companies in 2045 Using the Scenario Planning Method:

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    In implementing the energy transition, electricity utility companies must be able to carry out future planning to replace electricity infrastructure from a fossil energy-based generation system to clean energy generation and new renewable energy (NRE) to achieve Net Zero Emission (NZE) conditions by 2060. Term planning. What has often been done so far is to use forecasting methods, which are made by utilizing historical databases and using many assumptions about economic, social, and environmental conditions, as well as other factors that are easily changed and close to uncertainty. Therefore, planning methods must consider possible changes and uncertainties with several possible scenarios. Scenario planning is planning with a strategic approach that focuses on the process, involving finding optimal strategies for several scenarios that can occur, and this method helps deal with uncertainty. This paper explores the development of alternative scenarios that may occur in 2045, using scenario planning to help electricity utility companies capture opportunities and offset threats. It focuses on formulating broad and innovative strategies for the energy transition in the electricity business

    Perbaikan Prosedur Pemeliharaan Kualitas Gas Isolasi Conventional Circuit Breaker Dengan Improved Gas Handling Untuk Mitigasi Efek So2 Dan Meningkatkan Kehandalan Operasi

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    Gas SO2 (Sulfur monofluoride) merupakan produk dekomposisi yang terbentuk dari reaksi produk penguraian SF6 dengan oksigen atau uap air dalam peralatan PMT 150 kV konvensional. Penelitian ini bertujuan untuk mengetahui penyebab utama gangguan SO2 pada media isolasi gas SF6 PMT 150 kV, dan dapat mengembangkan perbaikan pada prosedur pemeliharaan PMT 150 kV sehingga gangguan serupa dapat berkurang secara signifikan. Metodologi penelitian menggunakan descriptive research dengan pendekatan applied research, yang memberikan gambaran komprehensif mengenai kualitas gas SF6 serta validasi prosedur baru untuk penanganan SO2. Hasil penelitian menunjukkan bahwa  metode improved gas handling SF6 berhasil menurunkan kadar SO2 di bawah 40 ppmv, dengan durasi rekondisi lebih cepat (6-8 jam), jumlah personel lebih sedikit (5 orang), kemurnian gas SF6 meningkat hingga 99,9%, dan risiko dekomposisi gas diminimalkan berkat vacuum pump modern dan sistem filtrasi yang efektif, analisis regresi logistik biner menunjukkan model efektif memprediksi kandungan SO2, dengan usia alat dan Dew Point PPMV berkontribusi sebesar 60,1% sementara 39,9% dipengaruhi variabel lain pemantauan berkala terhadap kualitas gas SF6, terutama kandungan SO2 dan kelembaban, sangat penting untuk menjaga performa dan keandalan PMT 150 kV

    Integration Method of Unit Commitment Using PL-GA Binary Dispatch Algorithm for Intermittent RES in Isolated Microgrids System

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    International audienceIntegrating renewable energy generators with existing electric power systems is essential in developing renewable energy generation in electric power systems in islands and remote areas. The high penetration of renewable energy sources (RES) and the possibility of working in a connected mode with the existing electricity grid are significant problems that must be overcome. With the many RES implementations, a proper integration method is needed between RES plants, which have intermittent characteristics, and existing power generation systems so that the electrical system remains stable, continuous, and reliable. One of the power plant integration schemes is unit commitment (UC), a daily scheduling method to achieve optimization goals while still meeting various operational, environmental, and technical constraints. UC method development is needed to maintain system stability, resilience, and minimize operating costs, especially for small systems for electrical development. Therefore, it is necessary to develop a new optimization method in the UC scheme for microgrid power systems. This paper discusses the development of an optimization method to integrate power generation from intermittent renewable energy using a UC scheme in a microgrid system. The algorithm used is a combination of improved priority list techniques and genetic algorithms, where the improved priority list is run first for scheduling optimization and then a combination of the algorithm priority list and genetic algorithm for economic dispatch solutions to obtain the lowest operational costs. The generating unit's capacity to operate per capability segment is also taken into account in the operation scheduling and affects the number of iterations in the genetic algorithm's operation. This method has been simulated in the electrical system in Eastern Indonesia, which is a developing power system and has an intermittent characteristic of RES power plants

    Enhancing Resilience in Electricity Supply Chains: A SCOR Model Approach for Vertically Integrated Utilities

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    This study introduces an innovative application of the Supply Chain Operations Reference (SCOR) model in a vertically integrated electricity supply chain. In this context, utilities manage all activities from primary energy procurement, generation, and transmission to distribution, which poses unique challenges due to process interdependence. The framework's comprehensive approach—covering plan, source, make, deliver, return, and enable—serves as a diagnostic and benchmarking tool that enhances supply chain resilience, reliability, responsiveness, flexibility, cost efficiency, and asset management. By aligning standardized supply chain methodologies with the specific requirements of the electricity industry, this study effectively identifies potential bottlenecks and risks across the integrated supply chain. This application differentiates this study from the existing literature and provides new actionable insights for sustainable supply chain management practices in the electricity sector

    Integration of Solar Photovoltaic Plant in the Eastern Sumba Microgrid Using Unit Commitment Optimization

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    Integrating renewable energy sources (RES) into island microgrids is usually done to provide a cost-effective electricity supply. The integration process is carried out by scheduling generating unit operations with a unit commitment (UC) scheme to ensure low system operating costs. This article discusses developing a UC optimization method for integrating solar photovoltaic plants in Indonesia’s Eastern Sumba microgrid power system. The scope of this study is the optimization algorithm of the UC, which consists of a priority list (PL) for the UC stage and an economic dispatch (ED) that relies on a genetic algorithm (GA) to minimize total operating costs (TOC). The results show that the PL-GA algorithm performs better than the extended priority list (EPL), and combinations of genetic algorithm and Lagrange, by applying continuous problem dispatch and improved binary GA hourly dispatch to meet ramping constraints. The application of RES incentive programs, such as carbon taxes and incentives for RES generation in calculating the TOC, shows an improvement in the financial feasibility analysis of the internal rate of return (IRR) and net present value (NPV) of actual projects in Indonesia
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