Power Quality Disturbances Recognition Based on a Multiresolution Generalized S-Transform and a PSO-Improved Decision Tree
Nantian Huang,
Shuxin Zhang,
Guowei Cai and
Dianguo Xu
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Nantian Huang: School of Electrical Engineering, Northeast Dianli University, Jilin 132012, China
Shuxin Zhang: School of Electrical Engineering, Northeast Dianli University, Jilin 132012, China
Guowei Cai: School of Electrical Engineering, Northeast Dianli University, Jilin 132012, China
Dianguo Xu: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Energies, 2015, vol. 8, issue 1, 1-24
Abstract:
In a microgrid, the distributed generators (DG) can power the user loads directly. As a result, power quality (PQ) events are more likely to affect the users. This paper proposes a Multiresolution Generalized S-transform (MGST) approach to improve the ability of analyzing and monitoring the power quality in a microgrid. Firstly, the time-frequency distribution characteristics of different types of disturbances are analyzed. Based on the characteristics, the frequency domain is segmented into three frequency areas. After that, the width factor of the window function in the S-transform is set in different frequency areas. MGST has different time-frequency resolution in each frequency area to satisfy the recognition requirements of different disturbances in each frequency area. Then, a rule-based decision tree classifier is designed. In addition, particle swarm optimization (PSO) is applied to extract the applicable features. Finally, the proposed method is compared with some others. The simulation experiments show that the new approach has better accuracy and noise immunity.
Keywords: power quality disturbances; S-transform; multiresolution; particle swarm optimization; decision tree (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: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (11)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:8:y:2015:i:1:p:549-572:d:44767
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