A New Approach Based on Wavelet Design and Machine Learning for Islanding Detection of Distributed Generation

作者：Alshareef Sami^*; Talwar Saurabh; Morsi Walid G

来源：IEEE Transactions on Smart Grid, 2014, 5(4): 1575-1583.

DOI：10.1109/TSG.2013.2296598

• Discrete wavelet
• distributed generation
• islanding detection
• machine learning
• Procrustes analysis

This paper presents a new approach based on wavelet design and machine learning applied to passive islanding detection of distributed generation. Procrustes analysis is used to determine the filter coefficients of a newly designed wavelet. To automate the classification process, machine learning algorithms are used to develop appropriate models. The IEEE 13-bus standard test distribution system simulated in PSCAD/EMTDC is used as a test bed to assess the performance of the proposed approach. The numerical results demonstrating the effectiveness of the proposed approach are discussed and conclusions are drawn.

• 出版日期2014-7