A robust support vector algorithm for harmonic and interharmonic analysis of electric power system |
| |
| Affiliation: | 1. Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia;2. Centre for Automotive Research (CAR), Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia;3. Department of Electrical and Electronic Engineering, Green University of Bangladesh, Dhaka 1207, Bangladesh;4. Department of Mechanical and Manufacturing Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia;5. Institute of IR 4.0, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia;1. Global Energy Interconnection Research Institute North Amercia, 95134, San Jose, CA, United States;2. Global Energy Interconnection Research Institute, 102209, Beijing, China;1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China;2. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;3. Department of Mechanical Engineering, Ontario Tech University, Oshawa ONL1G0C5, Canada;4. Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China;1. Chongqing Engineering Laboratory for Detection Control and Integrated System, Chongqing Technology and Business University, Chongqing 400067, China;2. Center for Advanced Life Cycle Engineering, University of Maryland, College Park, MD 20742, USA |
| |
| Abstract: | A novel robust algorithm to harmonic and interharmonic analysis based on support vector machines (SVM) and solved by iterative reweighted least squares (IRWLS) algorithm to overcome the difficulty of exponential computation complexity, is proposed in the paper. It has a good precision for analyzing harmonics and interharmonics without synchronized sampling that is essential for fast Fourier transform (FFT). By introducing a specific loss function, the method can mitigate the infection of outliers and noises and exhibits robustness characteristics. Its IRWLS-based implementation makes it efficient and suitable for harmonic and interharmonic analysis of electric power system. The case studies showed its high precision and robustness of the SVM spectral analysis algorithm. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
