The modern electric grid is exploding with inbound data from an ever-growing number of sensing and communication devices – in the control room, at the substation, and even out at the grid edge. This, coupled with the growing penetration of distributed energy resources (DERs), is demanding significantly higher investment of effort in managing the modern grid, which now entails interpreting and organizing vast pools of data, balancing power supply with rapidly rising demand, and ensuring continued safety of equipment, personnel, and end-users.
However, managing such high volumes of data poses several challenges such as siloed storage and formatting, accessibility, and privacy issues – making it difficult to effectively correlate and analyze all the data in real or even near-real time. While many SCADA, OMS, DMS, and ADMS applications available today do operate with real-time data, they can function only in unidirectional power flow grids. This entails additional grid analytics for the bidirectional flow, DSO-model grids of the future.
Explore this session to find out more about:
- The data analytics expectations for modern grid operations in both IT and OT environments
- Data analytics technology trends
- How Survalent is investing in product advancements – such as deep learning, machine learning, and artificial intelligence – to support advanced analytics for future grid operations by way of integrated ADMS + DERMS solutions