Real-time Analytics
PVO-Vesivoima needed a control approach that could respond fast enough for reserve-market power delivery while maintaining Finland's grid frequency precisely, improving turbine regulation accuracy, and reducing wear in hydroelectric plant operations under new Fingrid requirements.
Reported impact
The system delivers more precise water-turbine control and greater real-time accuracy, efficiency, and resilience, reduces turbine wear, and enabled PVO-Vesivoima to meet Fingrid's stringent new reserve-market regulation requirements.
PVO-Vesivoima implemented an AI- and machine-learning-based turbine control solution at its hydroelectric plants using Rockwell Automation's Allen-Bradley ControlLogix Compute module. The deployment ingests real-time operational data from plant operations and analyzes it locally on industrial computing hardware to identify the interactions that determine electricity-grid frequency. Those AI-derived control instructions are tightly integrated with the plant PLC environment, allowing the controller to adjust hydropower parameters and turbine behavior in response to grid-frequency conditions. The design uses rack-mounted and edge hardware rather than a cloud-first pattern, which supports the rapid response needed for reserve-market participation. Rockwell states that the module's close coupling with the PLC also improves cyber security. University of Oulu researchers contributed control-theory and mathematics expertise, while Klinkmann Automation supported industrial implementation.
Real-time operational data from PVO-Vesivoima's hydroelectric plants is processed on the Allen-Bradley ControlLogix Compute module, where AI and machine learning identify the interactions affecting grid frequency; the resulting control instructions are then applied through the tightly integrated controller/PLC setup to adjust turbine operating parameters for reserve-market response.
'Developed with support from Klinkmann Automation ... and doctorate researchers the University of Oulu, the solution – based on the Allen-Bradley® ControlLogix® Compute module – not only delivers far greater real-time accuracy and efficiency, but the module's tight integration with the PLC helps provide a more cyber-secure solution.'
'Reduced turbine wear is another positive consequence of this more precise regulation.'
'The control solution uses real-time operational data and applies machine learning and AI to identify the interactions that determine the frequency of the electricity grid.'
'The controller then adjusts the hydropower plant's parameters, adapting turbine operation according to the grid frequency.'
'The new control solution has been created to address the rapid response required for participating in reserve-market power delivery.'
'To date, PVO-Vesivoima is the only Nordic energy company to meet the stringent new regulations.'
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