Abstract
Within this chapter the idea of a probabilistic power system representation is introduced as a method to more accurately account for the statistical variation in critical system modes. This probabilistic model is then used during the design of a supplementary Power Oscillation Damping (POD) controller which is demonstrated to be more robust to the operational uncertainty of the power system. The Probabilistic Collocation Method also utilised as an efficient means to obtain this probabilistic system representation, allowing fast and robust design of POD controllers for High Voltage Direct Current (HVDC) systems. The technique is demonstrated using a case study representative of a possible future grid scenario—a large test system incorporating a multi-node meshed HVDC grid with interconnected stochastic wind generation.
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Preece, R. (2013). Probabilistic Tuning of Damping Controllers. In: Improving the Stability of Meshed Power Networks. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-02393-9_6
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DOI: https://doi.org/10.1007/978-3-319-02393-9_6
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