Siemens and Alliander Unveiled Grid Solution
The companies presented an automated energy management system to address global grid congestion at Flexcon 2026.
Updated on Sept. 28, 2026 in Utilities
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Siemens and Alliander introduced a joint software solution designed to tackle electricity grid congestion by automating load management. The system aims to alleviate infrastructure bottlenecks that currently leave thousands of customers waiting for connections.
Why it matters
Rising electricity demand from electric mobility and heat pumps has outpaced traditional infrastructure, which suffers from procurement delays. This software provides a proactive, technology-driven alternative to slow hardware expansion.
Alliander's automated system currently manages 20% of its peak grid load for 850 registered customers. The technology targets a reduction in connection wait times from 10 years down to 2 years.
The players
Siemens
Siemens is a global technology company specializing in industrial, infrastructure, and transport solutions.
Alliander
Alliander is a Dutch energy network company responsible for distributing electricity and gas to millions of consumers.
The details
The platform utilizes automated forecasting to manage demand before congestion peaks occur, following an eight-step operational sequence across the energy value chain. By optimizing existing infrastructure, the solution bypasses the five-year lead time often required to procure and install new transformers.
Timeline
The Flexcon 2026 conference presentation occurred in 2026.
Market Landscape
This solution represents a shift toward software-defined infrastructure to solve capacity constraints that have historically required massive capital expenditure. It positions Alliander to compete as a provider of grid-management technology in markets like Italy, where connection requests of 200GW vastly exceed national peak demand.
The widespread adoption of this grid management software could eventually reduce connection delays for household heat pumps and electric vehicle chargers. Faster integration of new users into the energy grid may lower the societal costs currently passed down through energy service interruptions.
The takeaway
Automated forecasting represents a critical shift toward optimizing existing grid capacity rather than relying solely on physical expansion. Proactive demand management is becoming an essential tool for utilities facing the rapid electrification of the consumer market.
Further reading
Learn more about the latest developments in the sector on the /business/industry/utilities/ page.
Source note: This article includes information reported by Enlit.
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