Extraction of primary and secondary frequency control from active power generation data of power plants
International Journal of Electrical Power & Energy Systems
16 - 22
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Frequency control is a vital component of a secure and robust power grid and it ought to be closely monitored. Frequency control consists of two main components; primary and secondary control and their contributions are usually aggregated in the active power generation data of a plant, which is acquired via Supervisory Control And Data Acquisition. In many cases, such as in Turkey, they are demanded to be evaluated separately due to different impacts on power system or different financial policies. However, this is not usually a straightforward process since primary and secondary response cannot be obtained distinctly. In this work, Extraction of Primary and Secondary Control (EPSCon) algorithm is introduced to extract primary and secondary response over active power generation data. Based on time and frequency domain characteristics of primary and secondary response, EPSCon is developed on a Expectation-Maximization type recursive scheme employing Generalized Cross Correlation and ℓ1 Trend Filtering techniques. Favorably, EPSCon uses a simple plant model built upon basic governor and plant load controller technical characteristics as an initial estimate of primary and secondary response.
KeywordsPower system frequency control
Signal processing applied to power systems
Sparse signal recovery
Frequency domain analysis
Expectation - maximizations
Generalized cross correlations
Power system frequencies
Power system monitoring
Primary and secondary control
Sparse signal recoveries
Supervisory control and data acquisition
Time and frequency domains
Electric power system control
Published Version (Please cite this version)http://dx.doi.org/10.1016/j.ijepes.2015.03.007
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