AI-Driven Pumpback Optimization for Hydropower System

End User
PPC
Description
This service optimizes pumpback operations between a Hydro Dam and an adjacent Hydro with storage. By analyzing historical and real-time water level data from the HDAM, along with relevant weather information, the AI system generates optimal pump dispatch signals. This enables efficient water transfer to maximize energy storage and generation at the storage hydro plant while preventing overflow or shortages within the system.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
The AI-Driven Pumpback Optimization service addresses the inherent complexities of coordinating water transfer between a Hydro Dam and a storage hydro plant to achieve optimal energy efficiency and mitigate potential risks. Inefficient management of pumpback operations can lead to a cascade of problems, including wasted energy due to suboptimal timing and volume of water transfer, increased risk of water overflow at the Hydro Dam posing environmental and safety hazards, insufficient water availability at the storage hydro plant limiting its power generation capacity, and increased operational costs stemming from manual intervention and less-than-ideal decision-making. Therefore, the implementation of effective pumpback control is of paramount importance for maximizing energy storage and generation within the hydropower system, ensuring the efficient utilization of water resources, minimizing operational risks and costs, and ultimately automating and streamlining overall hydropower operations.
Key Performance Indicators
Forecasting accuracy (Mean Absolute Error - MAE)
Pumpback Efficiency Ratio – % of water pumped that results in usable stored energy
Overflow Risk Reduction (%) – quantifies decrease in overflow events due to optimized control
Data Provided
Weather forecasts (precipitation, temperature) - API - unknown size - with documentation - hourly resolution
Historical water level data from HDAM plant & HPSH plant - CSV - unknown size - with documentation - daily resolution
TEF
TEF RES

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