Real-Time Detection and Reporting of Hydropower Generation Events

The Challenge

Hydropower units operate under different modes depending on AGC (Automatic Generation Control) status and complementary services configuration.

Without automated classification, obtaining a clear operational overview and summarizing events and operating hours required significant manual effort.

• Multiple operating modes and turbine configurations
• Operating states derived from several signals
• No consolidated real-time overview
• Manual event and operating-hour reporting
• Operational anomalies difficult to summarize

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The Approach

Engineers combined value-based searches, dashboards and AI-assisted analysis to automatically detect and summarize operating conditions.

State definition: Value-based searches defined hydropower unit generation states, based on AGC and complementary services configuration.

Event tracking: Conditions were automatically classified and tracked over time

Real-time overview: A Gantt chart consolidated all states in the main dashboard

AI-assisted analysis: TrendMiner Agent aggregated events, operating hours and anomalies through natural-language requests

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Key Insight

Converting process signals into defined operating states created a clear real-time overview, while AI enabled fast aggregation and analysis of operational events.

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Results

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Value

By automatically detecting and summarizing operating states, the team improved operational visibility, simplified recurring reporting and enabled faster analysis of generation events and anomalies.

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