CIGRE Canada Conference & Exhibition 2024

Join Us at CIGRE Canada 2024 in Winnipeg!

‍

We are excited to announce our participation in CIGRE Canada 2024, taking place from October 28-31 in Winnipeg. This prestigious event is a gathering of industry leaders, experts, and innovators who are shaping the future of the energy sector. We invite you to attend our presentation on a groundbreaking paper that introduces a new line rating forecast algorithm using probabilistic Machine Learning (ML) methods.

‍

About Our Presentation

Our paper presents a novel approach to Dynamic Line Rating (DLR) that leverages the power of probabilistic ML methods. The global workflow of our model follows a bottom-up approach, starting with the forecast of the perpendicular wind speed component at the span location and culminating in the line rating forecast. This innovative method combines weather forecasts from physical models with real-time data from on-line sensors measuring sag and the perpendicular wind speed component.

During the training phase, our model learns to dynamically adjust the weather forecast to align with sensor measurements. This probabilistic framework allows us to provide rating forecasts with a controllable confidence interval, effectively managing the risk of rating overestimation. Despite the challenges posed by low wind speeds, which are typically hard to measure and forecast, our model has demonstrated satisfactory results and has been validated in the field.

Key Benefits

• Robust Corrective Control: Our method offers robust corrective control of real-time and forecast weather by considering all local effects as measured by on-line sensors.

• Adjustable Confidence Interval: The confidence interval of the forecast can be tailored to operational needs, balancing gain and confidence.

• Flexibility for Utilities: Utilities can implement their own risk policies, providing full flexibility in their operations.

• Proven Reliability: This new forecast method has already been implemented by several Transmission System Operators (TSOs) and integrated into their SCADA systems, proving its reliability and effectiveness.

‍

Detailed Summary of Our Paper

Our paper presents a new line rating forecast algorithm based on probabilistic Machine Learning (ML) methods. The global workflow corresponds to a bottom-up approach where the model forecasts first the perpendicular wind speed component at the span location to finally forecast the line rating.

The core of the model lies in combining weather forecasts from physical models with real-time data from on-line sensors measuring sag and the perpendicular (to the line) wind speed component. During training, the model learns how to dynamically adjust the weather forecast to match the sensor measurements.

The choice to develop the model within a probabilistic framework makes it possible to provide rating forecasts with a controllable confidence interval on the rating overestimation risk. Despite the high sensitivity of dynamic rating with respect to low wind speeds, typically hard and difficult to measure by local weather stations and difficult to forecast, we obtained satisfactory results and validated them in the field.

This method offers robust corrective control of real-time and forecast weather since all local effects (as measured/observed by on-line sensors) are considered. The confidence interval of the forecast can be adjusted to operational needs, as a trade-off between more gain or more confidence. This gives full flexibility to the utility to implement their own risk policy.

This new forecast method has already been implemented at many TSOs, some of which have integrated it into their SCADA systems as proof of this method’s reliability.

‍

Full version of our paper is available upon request.

‍

Why Attend CIGRE Canada 2024?

CIGRE Canada 2024 is the premier event for professionals in the energy sector. It provides a unique platform to:

• Network with Industry Leaders: Connect with experts and decision-makers from around the world.

• Discover Innovative Solutions: Learn about the latest advancements in Grid Enhancing Technologies and Smart Grid solutions.

• Gain Insights: Attend presentations and panel discussions on cutting-edge research and industry trends.

• Collaborate and Innovate: Engage in meaningful discussions that drive the future of the energy sector.

‍

Event Details

• Date: October 28-31, 2024

• Location: Winnipeg, Canada

‍

We look forward to seeing you at CIGRE Canada 2024. Join us to explore how our advancements in Dynamic Line Rating (DLR) and Grid Enhancing Technologies can benefit your operations. Our team will be available to discuss our research, answer your questions, and explore potential collaborations.

‍

Conclusion

CIGRE Canada 2024 is an unmissable event for anyone involved in the energy sector. Our participation underscores our commitment to innovation and excellence in Dynamic Line Rating (DLR) and Grid Enhancing Technologies. We are eager to share our findings and discuss how our solutions can help you achieve greater efficiency and reliability in your operations.

Mark your calendars and join us in Winnipeg from October 28-31, 2024. We look forward to meeting you and exploring the future of energy together.

‍

For more information on our paper or participation, contact us.