The project will develop around the core issue in power system control, i.e. definition of the measurand for most used parameters in electric power system control: frequency; rate of change of frequency voltage and current phasors, voltage and current symmetrical components (in various coordinates- symmetrical components, alfa-beta, d-q), active power. The best choice of parameters to be used as descriptor for the (quasi-) steady state versus dynamic state, the required measurement setup and quality to issue the “steady state signal” will be analyzed. Most of the work will be done in WP1 and WP2, to formalize and then validate the 4M paradigm, reflecting the deviation of the assumed model for the measurement (for example, periodical, unmodulated measurand during the considered measurement window) from the reality (as “seen” by the measurement set-up after filtering and signal sampling). Further work (beyond the objectives of EMERGE) might consider synchronized measurements when the resulting information will be denominated as 5M (time stamp added).
WP2. 4M validation. Validating the framework for two critical applications in emerging power systems.
WP3. Multi-scale measurement data analytics. Robust validated methodology for multi-scale data analytics aimed at micro-load forecasting and classification of steady state behavior. The methodology will use state-of-the-art machine learning techniques (ML), adaptive to the input data temporal resolution.