TY - JOUR AU - Barancsuk, Lilla AU - Groma, Veronika AU - Günter, Dalma AU - Osán, János AU - Hartmann, Bálint TI - Estimation of Solar Irradiance Using a Neural Network Based on the Combination of Sky Camera Images and Meteorological Data JF - ENERGIES J2 - ENERGIES VL - 17 PY - 2024 IS - 2 SP - 438 SN - 1996-1073 DO - 10.3390/en17020438 UR - https://m2.mtmt.hu/api/publication/34571285 ID - 34571285 AB - In recent years, with the growing proliferation of photovoltaics (PV), accurate nowcasting of PV power has emerged as a challenge. Global horizontal irradiance (GHI), which is a key factor influencing PV power, is known to be highly variable as it is determined by short-term meteorological phenomena, particularly cloud movement. Deep learning and computer vision techniques applied to all-sky imagery are demonstrated to be highly accurate nowcasting methods, as they encode crucial information about the sky’s state. While these methods utilize deep neural network models, such as Convolutional Neural Networks (CNN), and attain high levels of accuracy, the training of image-based deep learning models demands significant computational resources. In this work, we present a computationally economical estimation technique, based on a deep learning model. We utilize both all-sky imagery and meteorological data, however, information on the sky’s state is encoded as a feature vector extracted using traditional image processing methods. We introduce six all-sky image features utilizing detailed knowledge of meteorological and physical phenomena, significantly decreasing the amount of input data and model complexity. We investigate the accuracy of the determined global and diffuse radiation for different combinations of meteorological parameters. The model is evaluated using two years of measurements from an on-site all-sky camera and an adjacent meteorological station. Our findings demonstrate that the model provides comparable accuracy to CNN-based methods, yet at a significantly lower computational cost. LA - English DB - MTMT ER - TY - JOUR AU - Günter, Dalma AU - Barancsuk, Lilla AU - Groma, Veronika AU - Sinkovics, Bálint TI - Az égboltkamerák szerepe a fotovillamos termelés rövidtávú előrejelzésében JF - ELEKTROTECHNIKA J2 - ELEKTROTECHNIKA VL - 116 PY - 2023 IS - 5-6 SP - 7 EP - 10 PG - 4 SN - 0367-0708 UR - https://m2.mtmt.hu/api/publication/34571707 ID - 34571707 LA - Hungarian DB - MTMT ER - TY - CONF AU - Barancsuk, Lilla AU - Hartmann, Bálint AU - Lorenti, Gianmarco AU - Repetto, Maurizio AU - Sinkovics, Bálint ED - Alice, Reinbacher-Köstinger TI - Optimizing Renewable Energy Communities for Local Consumption Patterns in Hungary T2 - OIPE 17th International Workshop on Optimization and Inverse Problems in Electromagnetism PY - 2023 PG - 2 UR - https://m2.mtmt.hu/api/publication/34571291 ID - 34571291 LA - English DB - MTMT ER - TY - CHAP AU - Barancsuk, Lilla AU - Günter, Dalma AU - Groma, Veronika AU - Hartmann, Bálint ED - Mohos, András ED - Táczi, István ED - Tóth, Zoltán TI - Fotovillamos termelésbecslés támogatása multimodális neurális háló segítségével égboltkameraképek és különböző konfigurációjú időjárási adatok alapján T2 - XIII. Mechwart András Ifjúsági Találkozó: Konferenciakiadvány PB - Magyar Elektrotechnikai Egyesület, Mechwart András Ifjúsági Társaság CY - Siófok SN - 9789639299511 PY - 2023 SP - 7 EP - 19 PG - 13 DO - 10.54232/MAIT.2023_1 UR - https://m2.mtmt.hu/api/publication/34431522 ID - 34431522 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Táczi, István AU - Vokony, István AU - Barancsuk, Lilla AU - Péter, Gábor Mihály AU - Tőzsér, Balázs AU - Hartmann, Bálint TI - Role of Voltage Control Devices in Low Voltage State Estimation Process JF - INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS J2 - INT T ELECTR ENERGY VL - 2023 PY - 2023 PG - 22 SN - 2050-7038 DO - 10.1155/2023/6614905 UR - https://m2.mtmt.hu/api/publication/34162531 ID - 34162531 N1 - Department of Electric Power Engineering, Budapest University of Technology and Economics, Budapest, H-1111, Hungary Department of Coordination and Innovation, E.ON DSO Hungary, Győr, H-9027, Hungary Export Date: 6 October 2023 Correspondence Address: Táczi, I.; Department of Electric Power Engineering, Hungary; email: taczi.istvan@edu.bme.hu AB - Megatrends, such as the proliferation of distributed generation, electrification, and the appearance of aggregator companies, put the low voltage power grids under intense pressure. Since the network infrastructure developments cannot keep up with the trends, distribution system operators turned to alternative solutions. Smart grid assets, such as on-load tap-changing distribution transformers or serial low voltage regulators, are promising solutions. However, the energy transition cannot be handled with the network expansive on the distribution level. Control centers are predicted to expand to this voltage level in the near future, and distribution system state estimation could be an enabler of all functionalities. On the low voltage level, data scarcity is a great challenge in observability; therefore, research must focus on the creation of pseudomeasurements and integration of available data sources. This paper examines the inclusion of smart assets from the conceptual point to the application on two sites, based on data from operational environments, both with a pseudomeasurement and an integrated metering point approach. The results showed that integrating smart assets could considerably mitigate voltage fluctuations, and reduce estimation errors by two magnitudes on the low voltage network. LA - English DB - MTMT ER - TY - JOUR AU - Békési, Gergő Bendegúz AU - Hartmann, Bálint AU - Barancsuk, Lilla TI - Elosztóhálózati állapotbecslés támogatása adatalapú technológiákkal JF - ELEKTROTECHNIKA J2 - ELEKTROTECHNIKA VL - 116 PY - 2023 IS - 1-2 SP - 15 EP - 18 PG - 4 SN - 0367-0708 UR - https://m2.mtmt.hu/api/publication/33807256 ID - 33807256 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Deng, Shengfeng AU - Ódor, Géza AU - Hartmann, Balint AU - Barancsuk, Lilla TI - Critical synchronization dynamics on power-grids T2 - APS March Meeting Abstracts VL - 2022 PY - 2022 UR - https://m2.mtmt.hu/api/publication/34003594 ID - 34003594 LA - English DB - MTMT ER - TY - JOUR AU - Táczi, István AU - Vokony, István AU - Barancsuk, Lilla AU - Péter, Gábor Mihály AU - Tőzsér, Balázs AU - Hartmann, Bálint TI - Feszültségszabályozó eszközök szerepe a kisfeszültségű állapotbecslésben JF - ELEKTROTECHNIKA J2 - ELEKTROTECHNIKA VL - 115 PY - 2022 IS - 11 SP - 39 EP - 42 PG - 4 SN - 0367-0708 UR - https://m2.mtmt.hu/api/publication/33292446 ID - 33292446 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Vokony, István AU - Salama, Hossam Salah Hussein AU - Barancsuk, Lilla AU - Sőrés, Péter Márk TI - Spatial Aggregation of Local Flexibility – Horizon2020 project experiences JF - RENEWABLE ENERGY & POWER QUALITY JOURNAL J2 - RENEWABLE ENERGY & POWER QUALITY J VL - 20 PY - 2022 SP - 596 EP - 601 PG - 6 SN - 2172-038X DO - 10.24084/repqj20.377 UR - https://m2.mtmt.hu/api/publication/33087497 ID - 33087497 N1 - Export Date: 13 September 2022 Correspondence Address: Vokony, I.; Department of Electrical Engineering, Egry Jozsef utca 18, Hungary; email: vokony.istvan@vik.bme.hu AB - With the growth of renewables, the increased interconnection of European grids, the development of local energy initiatives, and the specific requirements on TSO–DSO cooperation as set forth in the different Network Codes and Guidelines, TSOs and DSOs face new challenges that will require greater coordination. The aforementioned measures encourage procurement of services at both the transmission and the distribution level, recognizing that this will enable more efficient and effective network management and will increase the level of demand response and the capacity of renewable generation. Digitalization is a key driver for coordination and active system management in the electricity grid, enabling TSOs and DSOs to optimize the use of distributed resources and ensure a costeffective and secure supply of electricity. It also empowers endusers to become active market participants, supporting selfgeneration and providing demand flexibility. To support the transformation, the INTERRFACE project, started in 2019, will design, develop and exploit an Interoperable pan-European Grid Services Architecture (IEGSA) to act as the interface between the power system (TSO and DSO – transmission system operator, distribution system operator) and the customers, and allow the seamless and coordinated operation of all stakeholders to use and procure common services. This paper describes the approach of one INTERRFACE demonstration, the spatial aggregation of local flexibility and its realization that contributes providing a clear market approach to include local constraints into the already well-established and working wholesale energy market solutions LA - English DB - MTMT ER - TY - JOUR AU - Vokony, István AU - Salama, Hossam Salah Hussein AU - Barancsuk, Lilla AU - Sinkovics, Bálint AU - Sőrés, Péter Márk AU - Hartmann, Bálint AU - Táczi, István TI - P2P local market concept whith dynamic network usage tariff vi asset enablement – Horizon2020 project demo experiences JF - RENEWABLE ENERGY & POWER QUALITY JOURNAL J2 - RENEWABLE ENERGY & POWER QUALITY J VL - 20 PY - 2022 SP - 590 EP - 595 PG - 6 SN - 2172-038X DO - 10.24084/repqj20.376 UR - https://m2.mtmt.hu/api/publication/33067620 ID - 33067620 N1 - Export Date: 13 September 2022 Correspondence Address: Vokony, I.; Department of Electrical Engineering, Egry Jozsef utca 18., Hungary; email: vokony.istvan@vik.bme.hu AB - With the growth of renewables, the increased interconnection of European grids, the development of local energy initiatives, and the specific requirements on transmission system operator (TSO) – distribution system operator (DSO) cooperation as set forth in the different Network Codes and Guidelines, TSOs and DSOs face new challenges that will require greater coordination. The European Commission adopted legislative proposals on the energy market that promote cooperation among network operators as they procure balancing and other ancillary services and provide congestion management. Therefore, this creates the need for a specific project such as the H2020 INTERRFACE project, having the greater coordination between TSOs and DSOs as its core objective. In this project, one of the demonstrations is a local asset-enabled energy market to provide data-driven, simulation-based results, with a realistic market setting. There the transactions beneficial for the distribution grid are facilitated via dynamic pricing (DNUT – dynamic network usage tariff). In the demonstration of a local market that runs based on data, provided from 3 sites (2 Hungarian, 1 Slovenian), local distribution system operators are involved to provide grid and consumption/production data. This paper discusses the first results from one demonstration site, which contribute to the development of local P2P markets. It also facilitates the introduction of grid calculation based dynamic tariffs by providing practical results from the cooperation of research entities and DSOs in the H2020 INTERRFACE project. LA - English DB - MTMT ER -