Method and device for real-time evaluation of transient stability based on deep belief network

Abstract

The invention discloses a transient stability real-time assessment method and device based on a deep belief network. The method comprises the steps that a learning sample set is generated by using a time-domain simulation technology; system measurement is taken as model input, a stable state is taken as a model output, the network parameter of the deep belief network is updated through unsupervised pre-training and supervised precise adjustment, and a transient stability assessment model is formed; the data actually measured by a fault clearing moment system is input into the transient stability assessment model, and the transient stability of the system is predicted. According to the method, the electric power system characteristics can be automatically extracted by using the DBN so as to be used for the transient stability assessment, and the requirements for the calculation speed and accuracy of real-time assessment of the transient stability can be met at the same time, the transient stability real-time assessment can be achieved, the assessment efficiency is improved, the assessment accuracy is improved, and the method is simple and easy to implement.

Description

technical field [0001] The invention relates to the technical field of power system security and stability analysis, in particular to a method and device for real-time evaluation of transient stability based on a deep belief network. Background technique [0002] The interconnection of large-scale power systems is becoming more and more common. The purpose is to improve the reliability and economy of power generation and transmission. However, the expansion of the system scale makes the grid structure and operation mode complex and diverse, leading to more prominent system stability problems. Once a large transient fault occurs, if the state of the power grid cannot be accurately assessed and measures are taken in time, it is very likely to cause chain accidents, and in severe cases, the system will be disassembled into several independent islands, causing large-scale power outages and other serious problems. as a result of. [0003] In related technologies, the real-time e...

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Problems solved by technology

However, the time-domain simulation method has the characteristics of high calculation accuracy, but is limited by the speed of numerical integration, and the calculation speed of the time-domain simulation method cannot meet the requirements of online evaluation; the direct analysis method has the characteristics of fast calculation speed, but is limited by The accuracy of the power system model, the direct analysis method can only analyze relatively simple power systems, and the calculation accuracy is difficult to meet the requirements of large-scale power system evaluation

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