Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations
This paper presents improved harmonics extraction based on Adaptive Linear Neuron (ADALINE) algorithm for single phase photovoltaic (PV) shunt active power filter (SAPF). The proposed algorithm, named later as Improved ADALINE, contributes to better performance by removing cosine factor and sum of e...
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| Format: | Article |
| Language: | English |
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Korean Institute of Electrical Engineers
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/54517/ http://psasir.upm.edu.my/id/eprint/54517/1/Improved%20ADALINE%20harmonics%20extraction%20algorithm%20for%20boosting%20performance%20.pdf |
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| author | Mohd Zainuri, Muhammad Ammirrul Atiqi Mohd Radzi, Mohd Amran Che Soh, Azura Mariun, Norman Abd. Rahim, Nasrudin |
| author_facet | Mohd Zainuri, Muhammad Ammirrul Atiqi Mohd Radzi, Mohd Amran Che Soh, Azura Mariun, Norman Abd. Rahim, Nasrudin |
| author_sort | Mohd Zainuri, Muhammad Ammirrul Atiqi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper presents improved harmonics extraction based on Adaptive Linear Neuron (ADALINE) algorithm for single phase photovoltaic (PV) shunt active power filter (SAPF). The proposed algorithm, named later as Improved ADALINE, contributes to better performance by removing cosine factor and sum of element that are considered as unnecessary features inside the existing algorithm, known as Modified Widrow-Hoff (W-H) ADALINE. A new updating technique, named as Fundamental Active Current, is introduced to replace the role of the weight factor inside the previous updating technique. For evaluation and comparison purposes, both proposed and existing algorithms have been developed. The PV SAPF with both algorithms was simulated in MATLAB-Simulink respectively, with and without operation or connection of PV. For hardware implementation, laboratory prototype has been developed and the proposed algorithm was programmed in TMS320F28335 DSP board. Steady state operation and three critical dynamic operations, which involve change of nonlinear loads, off-on operation between PV and SAPF, and change of irradiances, were carried out for performance evaluation. From the results and analysis, the Improved ADALINE algorithm shows the best performances with low total harmonic distortion, fast response time and high source power reduction. It performs well in both steady state and dynamic operations as compared to the Modified W-H ADALINE algorithm. |
| first_indexed | 2025-11-15T10:40:07Z |
| format | Article |
| id | upm-54517 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:40:07Z |
| publishDate | 2016 |
| publisher | Korean Institute of Electrical Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-545172018-03-23T04:09:19Z http://psasir.upm.edu.my/id/eprint/54517/ Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations Mohd Zainuri, Muhammad Ammirrul Atiqi Mohd Radzi, Mohd Amran Che Soh, Azura Mariun, Norman Abd. Rahim, Nasrudin This paper presents improved harmonics extraction based on Adaptive Linear Neuron (ADALINE) algorithm for single phase photovoltaic (PV) shunt active power filter (SAPF). The proposed algorithm, named later as Improved ADALINE, contributes to better performance by removing cosine factor and sum of element that are considered as unnecessary features inside the existing algorithm, known as Modified Widrow-Hoff (W-H) ADALINE. A new updating technique, named as Fundamental Active Current, is introduced to replace the role of the weight factor inside the previous updating technique. For evaluation and comparison purposes, both proposed and existing algorithms have been developed. The PV SAPF with both algorithms was simulated in MATLAB-Simulink respectively, with and without operation or connection of PV. For hardware implementation, laboratory prototype has been developed and the proposed algorithm was programmed in TMS320F28335 DSP board. Steady state operation and three critical dynamic operations, which involve change of nonlinear loads, off-on operation between PV and SAPF, and change of irradiances, were carried out for performance evaluation. From the results and analysis, the Improved ADALINE algorithm shows the best performances with low total harmonic distortion, fast response time and high source power reduction. It performs well in both steady state and dynamic operations as compared to the Modified W-H ADALINE algorithm. Korean Institute of Electrical Engineers 2016-11 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54517/1/Improved%20ADALINE%20harmonics%20extraction%20algorithm%20for%20boosting%20performance%20.pdf Mohd Zainuri, Muhammad Ammirrul Atiqi and Mohd Radzi, Mohd Amran and Che Soh, Azura and Mariun, Norman and Abd. Rahim, Nasrudin (2016) Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations. Journal of Electrical Engineering and Technology, 11 (6). pp. 1714-1728. ISSN 1975-0102; ESSN: 2093-7423 http://www.jeet.or.kr/LTKPSWeb/pub/pubregistrationview.aspx?ppseq=1619&from=pubissue.aspx%3fpuseq%3d60 Active power filter; Artificial neural network; Harmonics; Photovoltaic; Maximum power point tracking 10.5370/JEET.2016.11.6.1714 |
| spellingShingle | Active power filter; Artificial neural network; Harmonics; Photovoltaic; Maximum power point tracking Mohd Zainuri, Muhammad Ammirrul Atiqi Mohd Radzi, Mohd Amran Che Soh, Azura Mariun, Norman Abd. Rahim, Nasrudin Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations |
| title | Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations |
| title_full | Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations |
| title_fullStr | Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations |
| title_full_unstemmed | Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations |
| title_short | Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations |
| title_sort | improved adaline harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations |
| topic | Active power filter; Artificial neural network; Harmonics; Photovoltaic; Maximum power point tracking |
| url | http://psasir.upm.edu.my/id/eprint/54517/ http://psasir.upm.edu.my/id/eprint/54517/ http://psasir.upm.edu.my/id/eprint/54517/ http://psasir.upm.edu.my/id/eprint/54517/1/Improved%20ADALINE%20harmonics%20extraction%20algorithm%20for%20boosting%20performance%20.pdf |