Selection method of key stability features of power grid based on improved ant colony algorithm

Abstract

With the continuous advancement of smart grid and the rapid development of computer and information technology, massive amounts of redundant and noisy information are connected to the power grid. Therefore, this paper proposes a key stable feature selection method based on improved ant colony algorithm. First, use the artificial intelligence model to solve the optimal number of key features. Then use Filter based on the minimum redundancy-maximal relevance (mRMR) algorithm and Wrapper based on the improved ant colony algorithm to select the optimal key feature subset in two stages. Finally, example analysis with IEEE39 nodes system is used to verify the availability and effectiveness of the selection method.