The challenge: managing high-risk seasonal loads with limited visibility
South Plains Electric Cooperative (SPEC), serving the Lubbock, Texas region, supports numerous cotton gin operations that create significant seasonal demand on its electric distribution system. These facilities draw substantial electrical loads during harvest season, making planned maintenance activities and load transfers increasingly complex.
Historically, engineers relied on 15-minute interval data to estimate transformer loading conditions. While useful for general planning, this approach introduced uncertainty during maintenance clearances, switching operations, and load transfer events because actual operating conditions could change significantly between reporting intervals.
The risk extended beyond operational planning. Cotton gin facilities contain highly combustible lint and materials, creating the potential for serious consequences if an overloaded transformer or electrical fault were to occur during peak operating periods. SPEC needed transformer-level visibility to proactively manage these risks and support safe operations.
SPEC deployed UbiGrid™ DTM+ monitors on transformers serving its cotton gin facilities. The solution streams real-time load, voltage, and transformer health information into the UbiVu® analytics platform, providing immediate visibility into operating conditions.
The cooperative integrated live transformer loading data directly into its WindMil modeling environment, enabling engineers to perform load-flow analysis using actual field conditions rather than estimates. This gave operations and planning teams greater confidence when scheduling maintenance clearances and managing seasonal load transfer activities.
In addition to load visibility, continuous monitoring provided insights into thermal stress, oil conditions, and bushing health. These indicators helped identify developing issues early, enabling proactive intervention before minor concerns could become service-impacting events.
