Fractional Order Chaos Synchronization for Real-Time Intelligent Diagnosis of Islanding in Solar Power Grid Systems

Cheng-Biao Fu, An-Hong Tian, Yu-Chung Li and Her-Terng Yau
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Cheng-Biao Fu: College of Information Engineering, Qujing Normal University, Qujing 655011, China
An-Hong Tian: College of Information Engineering, Qujing Normal University, Qujing 655011, China
Yu-Chung Li: Department of Mechanical Engineering, National Cheng Kung University, 1 University Road, Tainan City 701, Taiwan
Her-Terng Yau: Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan

Energies, 2018, vol. 11, issue 5, 1-14

Abstract: Many different methods have been proposed for determining islanding and most of them have drawbacks. The main issue is the difficulty of detecting islanding when the current and voltage values are of the same phase or the frequency remains within the normal range of the grid when islanding occurs. In this study, a non-autonomous Chua’s circuit was used to preprocess the grid signal after which a method based on the fractional Lorenz chaotic system and extension theory was used to analyze the preprocessed voltage signal. The capability of a chaotic system to amplify an extremely small signal was effectively utilized for the diagnosis of grid islanding. Simulation results showed that the diagnostic accuracy of the proposed method could be 100% and no other diagnostic method has offered such accuracy. Furthermore, the method proposed in this study is simple, easy to implement, and could be used as a portable system for the real-time monitoring and diagnosis of islanding in a conventional home grid system.

Keywords: Chua’s circuit; islanding; fractional Lorenz chaotic system; extension theory (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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