Our experts were involved in the work on two power line monitoring topics – they performed electrical tests of the DLR sensor at the BME High Voltage Laboratory. We fine-tuned the CIGRE line rating model with the cooling effect of precipitation.
The task of our experts was to implement an icing forecasting system that can indicate the formation of icing in time and estimate the type and thickness of the resulting ice and the additional load caused by it. The validated model can also predict the line load required for preventive intervention.
Our role in the project was coordinating the installation of DLR sensors from critical span analysis to data evaluation. We tested our updated algorithms and the AI-based virtual sensor at several locations during this period. We also gained valuable experience in connection with Health Monitoring subsystems.
2021-1.1.4-GYORSÍTÓSÁV-2022-00013 for Mobility Energy Innovations Ltd – In the framework of the „development of a cost effective dynamic line rating (DLR) sensor” project, the development of a cost effective conductor monitoring equipment is realized.
The purpose of the sensor is to install it on the phase conductors of overhead lines, on the one hand, to increase the transmission capacity of transmission lines, and on the other hand, to provide real-time information on the position of the conductors, thus contributing to the safe operation of the network. The development is carried out in several steps, starting with the implementation of a proof-of-concept device created as a result of the technology review. In a total of 5 development steps, by manufacturing 2-2 devices per phase and testing them in laboratory conditions, our goal is to create a cost-effective conductor monitoring device, whose market competitiveness lies in its cost-effectiveness and measurement accuracy. Algorithm development is carried out in parallel with the hardware development. The international methods for determining the transmission capacity of power lines are using an indirect method through the measurement of environmental parameters. However, thanks to the developed sensor, we are developing a calculation method based on direct conductor temperature measurement. This calculation methodology provides a more reliable solution for optimizing energy transfers on critical infrastructures, as thermal overloading of the conductors can be avoided based on direct measurement. Another advantage of the method is that the time constant of the conductor appears directly in it, so it is able to determine the transmission capacity with a smaller standard deviation. Taking both the sensor and the algorithm to the market is helped by participation in international exhibitions, of which the Enlit Europe exhibition held in Paris between November 28-30, 2023 was already succeeded thanks to the interest of 12,000 participants.
“2021-1.1.4-GYORSÍTÓSÁV-2022-00013” project no. was realized with the support from the NRDI fund of Ministry of Culture and Innovation, funded by the 2021-1.1.4-GYORSÍTÓSÁV tender program.
We participated as experts in the Hungarian transmission system’s DLR project. In the project, in addition to being able to test our models, we gained a lot of practical experience with the clearance subsystem, big data handling, and SCADA integration. Our team prepared the project’s impact assessment study, and we also explored the possibilities of possible further development of the system.
We participated as experts in the Hungarian EON DLR project. Our task was to develop the sensor installation strategy and coordinate the DLR system. The project’s great benefit was that we could test our algorithms in the DSO operating environment and validate them with the results.
In the project, we carried out decision-making studies from the technical side and provided algorithms for the sensor system. We learned about the main challenges of Central European DSOs and the connection points with DLR systems.
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