Summary
The energy sector is undergoing a profound transformation driven by renewable integration, digitalization, and heightened cybersecurity requirements. Substation automation systems, as critical components of the grid, face increasing complexity and demand a holistic approach to asset data management. Modern substations generate vast and diverse data pools – primary asset data, OT asset data, and real-time operational data – that, when integrated, deliver unprecedented transparency and actionable intelligence.
Read more Read lessIndividually, these data streams enable optimized lifecycle management, enhanced reliability, and improved troubleshooting. Collectively, they unlock predictive analytics and proactive asset management through AI-driven correlations, supporting dynamic grid optimization and resilience. This integrated approach not only strengthens operational efficiency and security but also addresses workforce challenges by preserving knowledge and enabling continuous learning for a new generation of IT-oriented professionals.
The paper argues that comprehensive asset data management is essential for reliable grid operations, accelerated grid expansion, and optimized investments. By leveraging advanced analytics and intelligent automation, utilities can transition from reactive to predictive strategies, ensuring a secure, efficient, and future-ready energy infrastructure.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B5_12010_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Austria |
| Study committees | |
| File size | 411 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
SPITZ Christopher - Siemens AG; SCHACHINGER Michael - Siemens AG; FUCHS Nina - Siemens AG; BÖHM Markus - Siemens AG
Keywords
OT Asset Transparency, Substation Automation, Cybersecurity, Asset Management, Knowledge Management, Digitalization, Patch Management, Vulnerability Management
