2results about How to "Narrow down the selection" patented technology

The application discloses a transient stability prevention control measure generation method and a related system, including the following steps: in a predicted fault scenario, a machine learning model is used to predict the transient stability of the current operation mode of a power system, the input of the machine learning model including various electrical characteristics related to the transient stability of the power system; the operation mode predicted as unstable is taken as an explained sample, a model explanation method is used to determine the influence degree of each electrical characteristic in the explained sample on the transient stability; candidate control units are determined according to the influence degree, and the candidate control units are adjusted, and the machine learning model is used to predict the transient stability of the adjusted operation mode until an operation mode predicted as stable is obtained, so that transient stability prevention control measures are generated. The method improves the explainability of the data-driven transient stability analysis model, the overall scheme requires a short time, and is suitable for online application.

The application provides a virtual impedance design method and system considering high-precision power output of an inverter, and is suitable for a capacitive coupling inverter. The application firstly selects an equivalent coupling impedance boundary according to a physical impedance calculated active power output limit value; secondly, an inner boundary and an outer boundary meeting instantaneous response requirements are added to reduce the selection range of the virtual impedance; further, a stability margin parameter is introduced to derive a stability boundary of the coupling impedance, further reducing the selection range of the virtual impedance; then, considering possible power loss, a range in which the equivalent impedance approaches zero is taken as a feasible range of the equivalent coupling impedance; finally, a virtual impedance value is obtained by using the difference between the physical impedance and the equivalent coupling impedance. The application can reduce control errors in droop control and reduce capacity waste of CCI.