The virtualization of electrical equipment is becoming a game changer. By decoupling hardware from software, organizations can unlock significant advantages, from cutting costs and reducing maintenance to boosting safety. In this article, we explore the key benefits and challenges of virtualizing substations and how this approach is transforming the way critical infrastructure is managed.
A virtualized substation replaces physical, purpose-built hardware like protection relays, RTUs, and control systems with software-based equivalents. Instead of proprietary boxes, you run multiple substation functions on shared, centralized computing infrastructure. Software updates replace truck rolls. Real-time data flows over IP networks. And remote management becomes the norm.
This technique is used to optimise the management and maintenance of electrical substations, and brings numerous benefits to utilities and end users of the network, such as:
1. It allows operators to have more detailed and accurate visibility ofthe status of a substation in real-time, reducing operators’ maintenance costs in the field.
2. This real-time information and the ability to analyse it with Artificial Intelligence and Machine Learning algorithms, help operators identify and fix substation problems much faster as well as anticipate failures. This results in reduced downtime and thus, fewer power outages forend-users.
3. A virtual infrastructure makes it easier to simulate emergency situations and develop contingency plans, giving better visibility of potential risks and threats and therefore greater physical and cyber security to the network.
4. Finally, a virtualised substation helps companies optimise their infrastructure investment. Given that the evolution of the software is traditionally more agile and cost-effective than that of the hardware,virtualised infrastructures make it possible to update and improve substation operations more frequently, and to plan their maintenance more efficiently.
Virtualizing a substation makes it possible to represent its operation in a digital model, in real-time. It enables the automation of processes using algorithms programmed by software that act and command the physical elements of a substation.
Let’s break it down with some concrete use cases:
Redeia is the Spanish Transmission System Operator (TSO). In 2022 it embarked on EPICS (Edge Protection and Intelligent Control Solution) project, to implement a Minimum Viable Product (MVP) that integrates the protection and control functions of a complete substation into a unified hardware/software platform.
The goal is to achieve significant efficiencies, as well as opening the door to developing new algorithms and automation needed to evolve the electrical system in a more agile and dynamic way.
In EPICS:
Virtualization isn’t just about efficiency. It’s about building a grid that can keep up with distributed energy, EVs, and flexibility. The old model can’t flex fast enough. Virtualization gives utilities the tools to move faster, fix smarter, and scale for what’s next. Virtualizing substations is no longer a tech dream. It’s a practical, proven path to a more resilient and responsive grid.
Barbara is the Edge AI Orchestration Platform for organisations seeking to overcome the challenges of deploying AI in highly distributed environments.
Barbara empowers OT managers with IT capabilities to digitize processes, enabling seamless data capture, processing, and real-time decision-making.
With Barbara, companies can deploy and monitor AI models in minutes by simply exporting and uploading them to the platform.
Digitization teams need efficient AI orchestration, while infrastructure teams require secure modernization without disrupting existing systems. Barbara enables both, orchestrating AI applications across distributed locations, modernizing infrastructure, and ensuring security, all without replacing existing components.
Our capabilities include:
.– Industrial Connectors for legacy or next-generation equipment.
.– Edge Orchestration to deploy and control docker-based applications across thousands of distributed locations.
.– Edge MLOps, to optimize, deploy, and monitor trained models using standard or GPU enabled hardware.
. – Remote Fleet Management for provisioning, configuration and updates of edge devices.
.– Marketplace of Certified Edge Apps ready to be deployed.
Contact us to discuss how we can help accelerate your Edge AI projects.