Distributed generation island detection method based on meta learning

Abstract

The invention relates to a distributed generation island detection method based on meta learning. The distributed generation island detection method based on meta learning comprises the following steps that (1) key features for island detection are recognized by using an RELIEF algorithm, so that a key feature set is obtained; (2) classification prediction is carried out on the original key feature set through a plurality of basic learning devices; (3) the classification results of the basic learning devices serve as feature items to be added to a training set, and a new sample set T is generated; (4) a meta learning device uses the sample set T as a training set, and carries out relearning on the classification results of the basic learning devices to obtain a final detection result. Compared with the prior art, the distributed generation island detection method based on meta learning solves the problems that due to weak correlation features in samples, accuracy of a classification algorithm can be reduced, and overfitting is caused, and has the advantages of being good in applicability, high in detection accuracy and the like.

Description

technical field [0001] The invention relates to a distributed power generation technology, in particular to a distributed power generation island detection method based on meta-learning. Background technique [0002] It is an important feature of smart grid to connect a large amount of distributed generation (DG) to the system in a friendly manner. From the perspective of system operation, personnel and equipment safety or power quality, distributed generation is required to have the function of island detection. Existing island detection methods mainly include passive detection method, active detection method, and switch state detection method. The switch state detection method relies on real-time communication technology, and has problems such as reliability and cost. Therefore, the current research interest in island detection mainly focuses on passive or active detection. Compared with relay protection, various detection thresholds of island detection protection often ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the above-mentioned defects in the prior art and provide a meta-learning based method that solves the problem that the weakly correlated features in the sample will reduce the accuracy of the classification algorithm and cause over-fitting problems, good adaptability, and high detection accuracy. Islanding Detection Method for Distributed Generation

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