Meeting uncertainty with predictability
When it comes to outage management, GE’s ADMS has already proven itself at scale as a benchmark solution by performing flawlessly through some of the worst recorded storms. With integrated tools, operators can assess, dispatch, report, and restore power from outages. Now, the platform is expanding beyond traditional centralized outage management system (OMS) functions, adding mobility, damage assessment, and moving towards predictive analytics to minimize disruptions. Moreover, by leveraging the new Storm Assist application, utilities can rapidly expand their outage response workforce during times of intense activity. Supporting the restoration process through the decentralization of outage dispatching functions, Storm Assist helps utilities rapidly scale the number of dispatching personnel from any location - including remote offices, other regions, and assistance utilities - quickly and securely.
The latest ADMS release continues to build on our proven and scalable suite of advanced power applications. For example, GE’s ADMS now provides further advancements to operational optimization via additional fault location, isolation, and service restoration (FLISR) functionality with new adaptive relay logic, peak load configuration, and problem formulation granularity. This functionality increases the number of customer isolations and restorations during an outage for improved performance indices (i.e., SAIDI, CAIDI, CMI, etc.).
Another improvement is a step change in situational awareness, delivering granular locational abilities (fault location, field work, etc.). This is achieved though the seamless integration between ADMS and GIS, supporting the modeling and display of non-electrical objects (i.e., poles, street lights, etc.).
Importantly, GE’s power applications are also DER-aware, empowering utilities to understand impact of DERs on grid operations. Utilities can mitigate for and take advantage of these objects and understand backfeed, hidden load, and new voltage profiles.