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It is evident worldwide that high-impact, low-probability (HILP) events, such as associated to extreme weather, can have disastrous consequences on power systems resilience. In this paper, we propose a Severity Risk Index (SRI) that with the support of smart grid technologies (e.g., real-time monitoring) is capable of providing an indication of the evolving risk of power systems subject to HILP events...
In this paper, an operating strategy is suggested for the participation of variable speed, variable pitch wind generators (VSVPWG) in primary load-frequency regulation through pitch-control. The proposed strategy is mathematically precise and neither direct wind measurement as a control input, nor any linearization of the system are required. The above suggested are independent of the specific type...
This paper presents an advanced statistical method for wind power forecasting based on artificial intelligence techniques. The method requires as input past power measurements and meteorological forecasts of wind speed and direction interpolated at the site of the wind farm. A self-organized map is trained to classify the forecasted local wind speed provided by the meteorological services. A unique...
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