Hitachi Energy harnesses AI, ML, and Cloud for grid modernisation
EPR Magazine (Electrical & Power Review)|January 2025
Hitachi Energy aims to enhance energy distribution infrastructure in India, with the SAM600 moving and switchgear control unit improving efficiency and reliability in digital substations.
Massimo Danieli
Hitachi Energy harnesses AI, ML, and Cloud for grid modernisation

Hitachi Energy has significantly modernised its Network Manager WAMS, enabling control room operators to proactively manage the grid, detect real-time disturbances before they cascade into serious disruptions or widespread blackouts, and maintain the grid's stability and reliability today and in the future. Let us know more from Massimo Danieli.

What are the risks of rapidly adopting digital grid technologies, and how can we mitigate them?

Power grids worldwide are evolving into complex systems that will be harder to plan, build, operate, and maintain. One of Hitachi Energy's key focus areas in the Indian market will be strengthening India's energy distribution infrastructure. As part of the shift to digital substations, the SAM600 moving and switchgear control unit significantly improves the efficiency and reliability of power distribution.

The REF650 is an all-new relay that meets the demands of distribution automation and medium-voltage applications. System components like protection and control relays integrate critical data sources to operate distribution grids more autonomously and responsively. We also deliver software advancements to help utilities build tomorrow's control centres. The dynamic nature of the expanding grid leads to faster and more frequent changes, requiring more proactive management. Our WAMS solution is ready for this challenge, combining high-frequency data from the field into the control centre operations and integrating it with Network Manager SCADA EMS in an enhanced user interface.

As the grid evolves, Hitachi Energy's Energy Portfolio Management (EPM) solutions support critical energy investment decisions and efficient energy operations across planning, forecasting, trading, portfolio optimisation and market operations.

How do AI and machine learning improve renewable energy forecasts and enhance grid management efficiency?

This story is from the January 2025 edition of EPR Magazine (Electrical & Power Review).

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