Elektro Ljubljana (Slovenia)

Effective governance models for energy data are essential to support Europe's strategic objectives in data sharing, trust, and interoperability. Building on initiatives like the Data Governance Act and the European Data Strategy, the ENERSHARE project develops a Data Space for the energy sector, introducing comprehensive Governance Models to address complex data-sharing requirements. This paper outlines eight interconnected models for managing energy-related data from metering, consumption, generation, and distribution systems across diverse contexts. These models emphasize security, compliance, data portability, and stakeholder lifecycle management, forming a robust framework for transparent and secure data exchange. Driven by a gap analysis of existing frameworks and structured surveys with key stakeholders, this approach reflects current needs while aligning with European regulations and fostering market innovation. By supporting both decentralized and centralized architectures, the Governance Models foster collaboration among TSOs, DSOs, data providers, and energy communities, ensuring data integrity, trust, and strategic progress.

This paper addresses the challenges facing low voltage networks amidst global demands for decarbonisation and the integration of dispersed renewable energy sources. As traditional cable upgrades are costly and time-consuming they should be considered as a last resort. We propose a phase load balancing methodology as a cost-effective alternative possible in some scenarios. This approach redistributes loads across different phases to balance phase utilisation, thereby unlocking spare capacity, reducing peak loading, and delaying the need for cable reinforcements. Focusing on low-voltage networks, our methodology evaluates imbalances in conductor sections, identifying systematic imbalance patterns and devising a consumer reconnection plan to mitigate these imbalances. The methodology's effectiveness is demonstrated on an actual network involving a secondary transformer station, with 192 low-voltage conductor sections, and 226 consumers, all equipped with smart meters. We show that most load imbalances are systematic and can be mitigated through static reconnections, increasing capacity by up to 20% in individual sections. Due to low cost, phase load balancing is a great primary response to some capacity constraint scenarios in low-voltage networks.

This paper deals with the power losses and power quality in the medium-voltage distribution network considering feeders in the open- and closed-loop arrangements. The feeders in the open-loop arrangement are changed to the closed-loop arrangement with the aim to improve reliability of the power supply. Apart from that the power quality could be increased, while power losses could be decreased. In the case study the feeders supply loads, while in some cases loads are replaced with the renewable source of energy.

The accumulation of stars images, distorted by a motion blur, is performed in two stages. First, each frame intended for accumulation goes through the motion blur-matched digital filter. Matched filtering localizes an arbitrary blurred image of a star in one known pixel. Synthesis of the impulse response of the matched filter is performed using the measurements of a gyroscope attached to the camera. The filtered frames are then added pixel by pixel in the accumulator, without any additional rotation transformation. The results of the simulation, performed for accumulation with "pixel" resolution, show the possibility of detecting blurry images of relatively dim stars against the background of the daytime sky.

Dalam penelitian ini membahas tentang perencanaan PLTS terhubung ke grid untuk melayani suplai daya listrik di Jurusan Teknik Elektro Politeknik Negeri Ambon. Potensi energy surya di Maluku dan Maluku Utara sendiri mencapai 738 gigawatt dan belum dimanfaatkan secara optimal,Selama ini Jurusan Teknik Elektro Politeknik Negeri Ambon mendapatkan suplai daya listrik hanya bersumber dari PLN saja. Sistem pembangkit listrik tenaga surya On-Grid yang dinamis dapat menjaga stabilitas sistem tenaga listrik mengingat lampu pada beberapa ruang kuliah di Jurusan Teknik Elektro sering tiba-tiba redup dan terang kembali hal ini terjadi karena adanya ketidakstabilan tegangan listrik. Masuknya pembangkit listrik tenaga surya ke jaringan listrik utama dapat mengoptimalkan pemanfaatan energi dari sel surya (photovoltaic) untuk menghasilkan energi listrik semaksimal mungkin dan dapat mengurangi kapasitas atau operasi pembangkit konvensional sehingga dapat mengurangi penggunaan bahan bakar. Beban listrik yang tersambung dengan sistem PLTS dan grid menggunakan energi yang sama dengan yang disalurkan oleh PLTS dalam jangka waktu tertentu. Dalam hal ini, grid menjadi penyimpan atau pemberi pinjaman sementara untuk pemenuhan permintaan daya listrik. Sehingga dengan penerapan konsep ini kita hanya mengeluarkan biaya investasi dari sistem PLTS tanpa baterai dan biaya sewa jaringan di sistem PLTS – Grid.

This paper describes the pilot implementation of blockchain technology (Ethereum) for smart grid data management in the IT environment of electrical distribution company Elektro Celje. The work focuses on the decentralised notation of smart meter data to enable secure access and prevent data misuse. The procedure for setting up the pilot project and the operational functions as well as the results of the performance tests are presented and discussed.

The transformation of energy and power systems is impacted by several factors. The introduction of smart grid technologies is changing the structure and direction in which the distribution and transmission electricity systems are operating. The development of power systems technologies also pushed the operational limits of the elements to a higher level. Since the power system backbone is well established and new investments are rare, the Transmission system operators (TSOs) need to maintain the system stable and provide a secure supply is facing new challenges. The way the system operates and is controlled followed the development of the IT and Power sectors and the approach to system maintenance is undergoing major changes as well. With the implementation of a new IT solution, new detailed monitoring is enabled and the TSOs have a big arsenal of new data, which should be utilized in planning and maintenance planning activities as well. The well-established time-based approach to system maintenance needs revision and upgrades. This paper will describe the updates in the maintenance planning process of the Slovenian transmission system operator ELES as the pilot location within the Horizon 2020 research project Big Data for Next Generation Energy (BD4NRG), which deals with the implementation and connection of big data systems in the power systems sector. The innovative approach aims to provide a faster alternative for the maintenance outage planning of the transmission system elements, with the implementation of newly available data that was not used to the full extent in the established planning process. The main benefit of the designed tool is the automated and repetitive process of maintenance outage planning, with consideration of the locational factors, monitored data, and external actor requests.

V članku predlagamo mero podobnosti klasičnih relacij oziroma podatkovnih tabel. Dobimo jo kot posplošitev Egli-Milnerjeve urejenosti in Hausdorffove metrike. Ta mera omogoča, da primerjamo različne podatkovne tabele. Mero podobnosti klasičnih relacij poskušamo razširiti na D-relacije, imenovane tudi relacije s podobnostmi, ki posplošujejo veliko skupino označenih relacij. V splošni obliki takšne mere zdaj nastopa še funkcija, ki meri podobnost označb. Izpostavimo lastnosti, ki naj jim ta funkcija zadošča, in poiščemo ustrezno obliko funkcije v primeru nekaterih posebnih označevalnih domen.