Project summary: Parameter estimation from real time series
This National Grid supported project demonstrated that condition monitoring via Bayesian parameter estimation has potential to improve the operational management of industrial systems.

Hai-Bin Wan of National Grid says, "The project aims to develop a viable real-time monitoring framework for grid frequency, which is able to rapidly identify loss of generation, estimate its impact, and provide estimates of time varying parameters. A small model using Bayesian statistical methods has been successfully developed and tested. However, more work is needed to implement the current model for the National Grid system. The project is a useful attempt to apply statistical technologies to modelling grid frequency.”

The project summary report may be downloaded from here.

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