Asset management is a critical aspect of every company, and this is especially true for distribution system operators (DSOs). DSOs are facing increasing pressures due to the integration of renewable energy sources, the widespread use of heat pumps, the electrification of transportation, etc. These rising demands place significant strain on energy infrastructure, posing challenges when it comes to network investments. Given the limited resources available to DSOs, it is impossible to invest in all necessary assets at once. This makes the implementation of smart asset management crucial to optimizing investment decisions and ensuring efficient network performance.
Optimizing investments in grid infrastructure, particularly in distribution transformers, requires a data-driven approach. By incorporating factors like the Asset Health Index (AHI), the age of the transformers, their operational costs, and geographic position in the grid, DSOs can prioritize which transformers require immediate attention. The AHI, for example, provides insights into the current condition of each asset, enabling more accurate forecasting of when maintenance, upgrades, or replacements are needed. Combining this with financial constraints allows DSOs to strategically allocate their resources where they are needed most.
Like other distribution companies, Elektro Gorenjska is facing increasing strain on its grid infrastructure. To address this, we are developing an advanced platform as part of the SmartEAM project, designed to identify the most critical transformers in need of investment, based on factors such as the Asset Health Index (AHI), transformer age, depreciation, strategic importance within the network, operational failures, and deficiencies. This platform will provide decision-makers with essential information about the condition of assets, enabling smarter investment choices in the grid. Ultimately, it will help ensure a stable and reliable electricity network.
As part of the Hedge-IoT project, we will also implement Dynamic Thermal Rating (DTR) calculations for transformers, as discussed in the article Maximizing Transformer Utilization with DTR (hyperlink to article – IJS). This information will enhance the existing AHI index, which currently considers transformer loads based on their rated power. With the DTR information, the SmartEAM platform will be more robust, delivering even better results.
