Enline digital twin successfully performed its Dynamic Line Rating algorithms
ENLINE DIGITAL TWIN SUCCESSFULLY PERFORMED ITS DYNAMIC LINE RATING ALGORITHMS
The worldwide growing infeed of highly volatile renewable energy into the High Voltage transmission system is forcing operators to manage fluctuating wind and solar energy generation and to provide enough transmitting capacity. Operators are looking for technologies to optimize the use of their available grid capacity and avoid power line congestion. Globally, investments into the grid are a huge financial challenge for utilities, TSOs, and DSOs. It is very attractive for them to extend the lifetime of their existing grid infrastructure by exploiting their existing installations up to the limits. A convenient solution is Dynamic Line Rating (DLP), which allows a weather-dependent operation of the transmission assets to the maximum without compromising operational security.
Spanish national TSO (REE) and Enline performed a controlled short circuit test in a Transmission Line span to evaluate cable temperature and sag variations by comparing sensor-based measurements versus Enline's modeling algorithm. Neither physical weather stations nor sensors were installed by Enline at the test location. Information on weather data was acquired from multiple sources.
By application of Enline Digital Twin Technology, full modeling of the installation was done.
Resulting in all calculated values by Enline's modeling algorithm matched excellently the measured values by REE. The error rate was impressively low, with a mean of 2%.
Weather dependent operation by Enline DLR technology enables utilities and TSOs to:
Improve dealing with fluctuating generation, enhancing operating flexibility and availability.
Identify and manage potential risky congestion situations on the grid.
Extend the lifetime of the existing infrastructure and postpone investment for new transmission assets by exploiting the existing ones up to the maximin allowable limits at any given moment.
Easily identify the bottleneck ampacity along with the whole installation in real-time.
Prediction of allowable maximum utilization of power lines for the upcoming days by computation of weather forecast information.
80% SAVED COST
Due to DLR digital twin implementation, compared to sensor based applications.
90% TIME REDUCTION
On unavailability and fault identification.
Digital twin calculations vs real field measurements.