The article emphasizes the distinction between operational and maintenance data in substations, highlighting the need for separate protection strategies. It advises keeping maintenance data outside control systems to enhance security, while enabling organizations to integrate condition data flexibly.
CNAIM, the UK's model for risk-based maintenance and investment decisions, is now being tested in Sweden. It has been a regulatory requirement for British network operators since 2015. How useful it proves will depend largely on the quality of the underlying condition data.
The article emphasizes utilizing existing transformer infrastructure for sustainable energy transition. By leveraging connectivity and predictive maintenance, operators can extend transformers' lifespan, reduce costs, and redirect capital towards critical grid enhancements, optimizing resources while minimizing disruptions and environmental impacts.
Gomero emphasizes that effective change for grid operators comes from incremental, manageable steps rather than sweeping transformations. By enhancing data visibility and fostering collaboration, organizations can gradually shift from reactive to proactive approaches, ultimately boosting confidence and operational efficiency in daily tasks.
How a German utility reduced construction costs at a 110 kV substation using automated drainage with SIPP Node.
Gomero celebrates 20 years of innovation in transformer maintenance, evolving from manual checks in 2006 to fully automated systems used globally. This transformation highlights the energy industry's shift towards predictive maintenance and real-time data utilization for optimal grid performance.
Five questions to help grid operators build a condition monitoring programme — from prioritising assets by risk to scaling across your network at your own pace.
