2results about How to "Avoid heavy computation" patented technology

The invention relates to a VSP missing data reconstruction method and device based on a self-supervised deep learning model, and the method comprises the steps: inputting a VSP common detection point gather containing shot missing data into a deep convolutional neural network model; reconstructing the shot-lacking data by using a deep convolutional neural network model, and outputting a reconstructed complete VSP common detection point gather; wherein the deep convolutional neural network model is obtained by training in a self-supervised learning mode by adopting an original complete VSP common detection point gather in a target work area; according to the method, a self-supervised learning normal form is adopted, an existing complete gather data training model in a target work area is directly utilized, additional labeling or complex speed model construction is not needed, and the data preparation cost and dependence on prior knowledge are remarkably reduced; the trained model can perform end-to-end intelligent reconstruction on the input incomplete gather, the complete gather is quickly output, and the problems of complex iteration and large calculation amount in a traditional method based on a wave equation or matrix completion are avoided.

The present application relates to a kind of high voltage direct current transmission inverter side receiving end system small signal stability evaluation method, system, electronic equipment and computer readable storage medium, wherein method includes: gathering commutation bus steady-state operating parameter to construct inverter side nonlinear control equation group;Small disturbance response characteristics are extracted at system steady-state operating point, and linear equation group is established;Linear equation group is decoupled in combination with feedback control loop parameter, and aggregated to build transfer function admittance model;Based on the model, time-domain dynamic response curve is obtained, and the small signal stability evaluation index of system is output.The present application avoids complex electromagnetic transient modeling process, can intuitively, accurately reflect the time sequence dynamic characteristics of system under actual power grid fluctuation, greatly improve the efficiency of small signal stability analysis and evaluation of direct current transmission system.