A Two-Stage Feature Selection Method for Power System Transient Stability Status Prediction

Zhen Chen, Xiaoyan Han, Chengwei Fan, Tianwen Zheng and Shengwei Mei
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Zhen Chen: State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China
Xiaoyan Han: State Grid Sichuan Electric Power Company, Chengdu 610041, China
Chengwei Fan: State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China
Tianwen Zheng: Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610213, China
Shengwei Mei: Department of Electrical Engineering, Tsinghua University, Beijing 100084, China

Energies, 2019, vol. 12, issue 4, 1-15

Abstract: Transient stability status prediction (TSSP) plays an important role in situational awareness of power system stability. One of the main challenges of TSSP is the high-dimensional input feature analysis. In this paper, a novel two-stage feature selection method is proposed to handle this problem. In the first stage, the relevance between features and classes is measured by normalized mutual information (NMI), and the features are ranked based on the NMI values. Then, a predefined number of top-ranked features are selected to form the strongly relevant feature subset, and the remaining features are described as the weakly relevant feature subset, which can be utilized as the prior knowledge for the next stage. In the second stage, the binary particle swarm optimization is adopted as the search algorithm for feature selection, and a new particle encoding method that considers both population diversity and prior knowledge is presented. In addition, taking the imbalanced characteristics of TSSP into consideration, an improved fitness function for TSSP feature selection is proposed. The effectiveness of the proposed method is corroborated on the Northeast Power Coordinating Council (NPCC) 140-bus system.

Keywords: transient stability; two-stage feature selection; particle encoding method; fitness function (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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