![LS Electric said it has successfully installed its self-developed Outage Management System, or OMS, at a district electricity business office in the Hakha district of Yuseong-gu, Daejeon, operated by CNCITY Energy. The photo shows LS Electric employees checking the distribution grid through the OMS monitoring screen. [Photo=LS Electric]](https://image.ajunews.com/content/image/2026/01/29/20260129084220497650.jpg)
LS Electric said it has commercialized a smart distribution solution designed to help manage distributed power grids more reliably, stepping up its push into the fast-growing market.
The company said on Jan. 29 that it recently completed installation of its self-developed Outage Management System (OMS) at a district electricity business office in the Hakha district of Yuseong-gu, Daejeon, operated by CNCITY Energy.
The OMS digitizes the status and condition of power equipment to support distribution operations. LS Electric said it is the first case in which a privately developed distribution-operations solution has been commercialized at a district electricity business site.
The company described OMS as an intelligent system that helps operators quickly identify affected areas and equipment during outages. Beyond outage response, LS Electric said it is expected to enable integrated, digital management of equipment status and history across the distribution network, supporting equipment life prediction and maintenance optimization.
LS Electric said it plans to work with CNCITY Energy to accelerate technology development for next-generation distributed distribution networks, citing the reliability demonstrated through the OMS project.
An LS Electric official said OMS is drawing attention as an essential solution not only for district electricity business offices but also for large factories and industrial infrastructure. The official said the system has already received positive reviews at multiple industrial sites and will serve as a core solution for AI-driven transformation of power systems while helping improve distributed-grid stability.
* This article has been translated by AI.
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