Reflecting on the major power blackout that affected large parts of Spain and Portugal in late May, Sabine Dall’Omo, CEO of Siemens Sub-Saharan Africa, notes that this starkly signalled to the world the importance of stable and modern power grids. The blackout was reportedly the worst of its kind in almost 20 years. Planes, trains, refineries and internet services came to a halt. Traffic gridlocked for hours. Life was turned upside down as chaos ensued. International news reports claimed the cause was a ‘very large oscillation in power’ – when the power grid was unable to absorb a large inflow of renewable energy.
Sabine Dall’Omo, CEO of Siemens Sub-Saharan Africa.
Powering the grids of tomorrow
Dall’Omo continues: Events like these remind us that changes in society can sometimes happen faster than our infrastructure allows. The foundations of our societies and economies clearly need to transform to facilitate the critical integration of renewable energy and the technologies that shape a new world. According to research conducted and reported in Siemens’ Pictures of Transformation – South Africa 2040, experts believe the four key drivers of economic transformation in the next decade and a half will be decarbonisation, circularity, social impact, and purpose-driven technologies,
Automation is a critical part of this picture. While automation is tremendously exciting in the industrial context, one of its lesser-known applications is in the upgrading of currently ailing and underperforming electrical grids around the world.
It is alarming to note that today’s electricity grids are not equipped to handle the major increase in renewable energy that the world needs. By 2030, to facilitate this integration, the length of transmission lines globally will need to increase by almost 2.5 million kilometres, and distribution networks by over 16 million kilometres. This means the world will have to spend up to $630 billion per year by 2030 to upgrade its ailing grids.
This is where the science of ‘grid transformation’ comes in. Grid transformation refers to the comprehensive overhaul of the electrical grid to make it more resilient, flexible, and capable of integrating renewable energy sources and advanced technologies. It involves upgrading infrastructure, implementing smart grid technologies, and enhancing grid management systems to handle the complexities of modern energy demands.
Autonomous grids are already making a significant impact in various parts of the world. For instance, Siemens has been at the forefront of this transformation with its Gridscale X™ software. This innovative solution enables utilities to scale grid capacity rapidly, manage the complexity of distributed energy resources (DERs), and increase grid flexibility. By integrating advanced digital technologies, Gridscale X allows grid operators to balance supply and demand more efficiently, accommodate fluctuating energy inputs, and maintain grid stability. The software is part of Siemens' broader Xcelerator portfolio, which aims to accelerate digital transformation in grid management. Through real-time monitoring, predictive maintenance, and intelligent energy flow management, Siemens' autonomous grid solutions are helping to create more resilient and sustainable energy systems.
Why we need autonomous grids
It’s no overstatement to say that resilient, autonomous grids are the future of energy management. Our power distribution systems need to adapt to changing conditions, optimise energy use, and ensure continuous power supply. Autonomous grids can do that, because they leverage digital technologies, Internet of Things (IoT) devices, and artificial intelligence (AI) to operate independently, while making real-time decisions to balance loads and integrate renewable energy sources.
This autonomy enhances grid reliability, reduces operational costs, and supports the transition to a sustainable energy future. Critically, autonomous grids can optimise energy distribution by balancing supply and demand more efficiently, using predictive analytics to forecast energy needs and adjust generation and distribution accordingly. Autonomous grids can also seamlessly integrate variable renewable energy sources, manage multi-directional energy flows, and store excess energy for later use.
If the world wants to reach its environmental sustainability goals, it needs to upgrade its energy infrastructure and reduce reliance on fossil fuels. Energy demand is evolving, and new technologies emerge every day. Autonomous grids are set up to adapt, integrating innovations like electric vehicles and smart appliances without extensive manual intervention and ensuring grids remain robust and capable of meeting the needs of a modern, digital society.
Grid modernisation in Africa
We cannot meet the African continent's unique energy challenges and opportunities without accelerating grid transformation. Consider this: Africa has the fastest growing, youngest population of all the continents, and by 2050, when it has a population of roughly 2.5 billion people, one in four people on the planet will be African.
Rapid urbanisation, increasing energy demand, and the need for sustainable development will therefore require robust and flexible power grids across Africa. The mission is to improve energy access, reduce outages, and support economic growth and environmental sustainability.
A key part of this picture is managing smart energy infrastructure. This technology enables multi-directional energy flows to balance supply and demand, accommodate renewable energy sources, and ensure grid stability. A practical example from Sub-Saharan Africa is the integration of solar power in rural areas. By managing energy flows from solar panels, batteries, and the main grid, operators can provide reliable electricity to remote communities, reduce dependency on fossil fuels, and enhance energy resilience.
In Sub-Saharan Africa, autonomous microgrids powered by solar panels and batteries can also provide reliable electricity to rural areas, improving energy access and supporting economic development.
AI plays a part
One way we can substantially accelerate the rollout of autonomous grids is with the help of AI. AI-driven grid software can enable real-time monitoring, predictive maintenance, and intelligent energy flow management. AI can also optimise grid performance, enhance reliability, and support the integration of distributed energy resources (DERs). AI is a powerful tool for modern grid management, because it can easily integrate into existing information technology (IT) and operational technology (OT) landscapes.
Conclusion
I am hopeful about the future of AI-powered smart grids in Africa. We are already seeing new platform approaches and connectivity solutions to reorganise how society is powered, underpinned by AI and automation. In the next decade we could see the rise of more efficient societies and industries, provided that they are underpinned by cybersecurity, human rights, and consumer trust.
For more information visit: www.siemens.com/za/en