deriving criteria to label the data based on such a criteria
11_Pre Qualification Test
deriving a representive frequency profile, with which TSO can certfy the providers for the FCR service.
- Analysis of historical data (frequency deviation measurements for FCR, control signal sent by Swissgrid for aFRR) to derive patterns in the data (e.g., using Machine Learning techniques, such as clustering)
- Identify the most prominent patterns in the data and collect them into a set of representative signal extracts
- Combine the signal extracts into an overall signal that is representative enough of various scenarios, for example, base-case signal, worst-case signal with regards to power capacity, worst-case signal with regards to energy capacity, worst-case signal with regards to ramping power, etc.
- Determine the list of tests to be included in the new prequalification test, making use of the signal extracts among other things
Note: signing a legal agreement with Swissgrid is required to access some of this data.
Worked on the pitch
on the analysis (steady state and dynamic) and planning (operational and investment) of electrical networks
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