Electrical Power & Protection


A changing grid requires flexibility

March 2024 Electrical Power & Protection

Winston Churchill said: “To improve is to change; to be perfect is to change often.” It is a wonderful sentiment that can be applied in almost all industries, including power generation. As the landscape changes, so should energy production and distribution adapt, ensuring that we establish a flexible, optimised grid of the future.


Dwibin Thomas, cluster automation leader at Schneider Electric.

Traditionally, grid flexibility involved utilities enrolling large industrial energy consumers in load curtailment and demand response (DR) programmes to help adjust the balance between supply and demand. These electro-intensive users would reduce or shift their energy use during peak periods.

However, today, grid flexibility has become far more complex. For one, an increasing investment in renewables means that energy flow is bi-directional, with decentralised energy coming from multiple distributed energy resources (DERs).

Furthermore, as organisations and even individual households start moving over to generating their own electricity, we now have a growing landscape of prosumers that both produce and consume energy, further amplifying the need for grid flexibility.

Traditional demand response shows its limitations in balancing an evolving grid. It represents a critical paradigm shift for utilities, and given the pace of innovation, it is challenging to plan for a future that includes rapidly growing DERs.

A fundamental challenge is that upgrading a decades-old grid takes time, and represents large capital expenditure. Grid-connected prosumers, an increase in electrification, and climate uncertainty also mean that energy demand will continue to be variable and uncertain.

Digitisation leads to flexibility

Digitised grids that adapt to these variable energy sources and respond to dynamic challenges are needed to identify, enrol, and aggregate distributed energy resources. These grids of the future can realise sustainability as they incorporate DERs in a more flexible and optimised manner. They adapt faster, are more responsive to weather crises, are more sustainable and reliable, and can reduce operational costs with predictive maintenance strategies.

Through digitisation, operators benefit from a consolidated view of the various energy resources that are feeding into the grid, ensuring that it is managed and distributed methodically based on real-world demand and supply.

Receiving energy from various DERs without proper management is pointless. This lack of management could potentially lead to an overloaded infrastructure and compromised power quality.

Change requires flexibility

To establish a more flexible grid, we will have to keep pace with an evolving landscape. At the prosumer level we’re seeing a hybrid future taking shape. In addition, more IoT-connected assets (buildings, houses, EVs) are online, ready to be dispatched and aggregated. These assets are looking for the right ‘flex’ compromise between efficiency through more automation, and freedom of choice enabled by customer engagement platforms.

When it comes to grid management, utilities must optimise each hybrid prosumer and other suppliers of DERs by incorporating the necessary technology (directly or via services vendors) that will enable it to become more agile and flexible. At the distribution system operator level, there are DER management software solutions available that are tailored to enable the efficient planning, design and operation of today’s flexible, dynamic grid.

These solutions maximise the connection of renewables by leveraging DER flexibility at every level. This approach supports small proof-of-concept projects through to full-scale deployment rollouts that require direct device monitoring, control, and integration with third-party aggregators.

DER management solutions provide energy suppliers and distributors with smarter, more efficient ways to manage the integration of various energy sources into their grid. At Schneider Electric our DER management software options incorporate AI and machine learning algorithms, not only analysing historical data, but also considering weather patterns and forecasts that give utilities additional insight into the renewable energy supply.


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