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The Royal Swedish Academy of Engineering Sciences (IVA) is an independent academy with a mission “...to promote engineering and economic sciences and the advancement of business and industry for the benefit of society.” We bring together leading engineers, economists, researchers, entrepreneurs and leaders in business and the public sector, who contribute generously to IVA’s operations through their intellectual capital and their engagement.

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IVA believes in humanity’s capacity to contribute positively to society through the engineering and economic sciences. We run a number of projects and programmes, produce reports, knowledge bases and policy proposals, and organise open seminars and meetings nationwide. We also recognise and encourage the efforts of others by awarding distinctions and grants.

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Machine learning based Prediction and Analysis of Incipient Faults in Power Systems

Machine learning based Prediction and Analysis of Incipient Faults in Power Systems

Electric utilities currently rely on a reactive approach to grid management, towards the disturbances and faults that have occurred. This approach can lead to severe grid faults and high costs associated with downtime, energy loss, damaged equipment, and unscheduled maintenance.

IVAs 100-lista 2023

Year:

2023

Category:

Deep tech

University:

Chalmers University of Technology

Responsible Researcher:

Ebrahim Balouji, Karl Bäckström, Tomas Mckelvey

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In this research, we have developed an artificial intelligence (AI) based solution that predicts incipient faults within weeks of horizon using only voltage and current signals recorded by existing devices.

The Proposed solution enables utilities to proactively identify potential issues and take preventive measures. By implementing this online, grid-wide solution, we have observed a significant reduction in yearly downtime by 60% and a 20-30% decrease in operation and maintenance (O&M) costs. This predictive maintenance system allows utilities to maintain a more stable and reliable grid while minimizing the financial and operational impact of unexpected faults and disturbances.

An independent academy that builds bridges between science, business and politics

A meeting place for Sweden's future

A vision for Sweden as a country of technology and innovation by 2035

Machine learning based Prediction and Analysis of Incipient Faults in Power Systems

IVAs 100-lista 2023

IVA’s 100 List 2023 - Technology in the service of humanity