In The Loop Edition 40

Dear Colleague,

In this edition we bring you three great articles relevant to the energy transition – on the role of electric vehicles as a distributed energy resource, an article on the regulatory and environmental complexities associated with new renewable developments, and on the impact of machine learning and artificial intelligence on power system operation and control.

Speaking about energy transition, our Shaping the Power System of Tomorrow conference planning is coming along exceptionally well. With strong registrations and around 170 presentations, this a compelling program for all involved in the energy transition. An event not to be missed. Register here.

Looking forward the 2026 Paris Session, prospective authors are remined that abstracts must be submitted to submissions@cigreaustralia.org.au no later than 7 July 2025.

Best Regards 

Peter McIntyre
Chief Executive Officer
CIGRE Australia

Phil Southwell
Technical Editor

Electric Vehicles as Distributed Energy Resources

The transition to electric vehicles is accelerating rapidly all over the world. More than just a promise of transport decarbonisation, it’s also a coupling of the energy and transport worlds in a way they haven’t been before.  There are a number of challenges and opportunities related to the mass roll out of these vehicles.

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A Snapshot of the Activities of CIGRE Study Committee C3, System Environment Performance

The energy transition, which is occurring on a global scale is seeing a significant expansion of the electricity generation, transmission and distribution networks, all of which require some form of environmental approval prior to work commencing.

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The impact of AI on Power System Operations

The complexities of operating modern power systems are increasing, driven in part by changing technologies and the rapid growth of distributed generation, particularly in the form of solar and wind.  As a consequence, many stakeholders throughout the energy value chain are turning to machine learning (ML) and artificial intelligence (AI) to manage these challenges.

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