A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control
Suppliers of electricity and their consumers have attained a peak stage of concern regarding the quality of electric power nowadays, with current harmonics concise injection activities looms the power networks as certain loads (principally nonlinear loads) are applied on to it. With active power fil...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68477/ http://psasir.upm.edu.my/id/eprint/68477/1/A%20modified%20digital%20hysteresis%20and%20artificial%20neural%20network%20%28ANN%29%20algorithms%20in%20single%20phase%20shunt%20active%20power%20filter%20control.pdf |
| _version_ | 1848856138373660672 |
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| author | Sabo, Aliyu Abdul Wahab, Noor Izzri Mohd Radzi, Mohd Amran Mailah, Nashiren Farzilah Abdul Rahman, Nor Farahaida |
| author_facet | Sabo, Aliyu Abdul Wahab, Noor Izzri Mohd Radzi, Mohd Amran Mailah, Nashiren Farzilah Abdul Rahman, Nor Farahaida |
| author_sort | Sabo, Aliyu |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Suppliers of electricity and their consumers have attained a peak stage of concern regarding the quality of electric power nowadays, with current harmonics concise injection activities looms the power networks as certain loads (principally nonlinear loads) are applied on to it. With active power filter (APF) wide knowledge and sophistication in this regard, a high performance extraction algorithm coupled with a fast switching technique must be developed in utilizing this device optimum potential. This paper introduces a new effective algorithms for the compensation of this ill effects in the power networks namely the digital hysteresis algorithm with a modification by bandwidth absence in the switching analysis (called bandless digital hysteresis algorithm) and a modified artificial neural network responsible to detect and generate the necessary compensation signal injected on to the power networks by the harmonic agents. The proposed scheme is achieved via simulation studies (under MATLAB SIMULINK environment) and effectives results obtained are discussed to verify its performance. |
| first_indexed | 2025-11-15T11:36:53Z |
| format | Conference or Workshop Item |
| id | upm-68477 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:36:53Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-684772019-06-10T02:19:46Z http://psasir.upm.edu.my/id/eprint/68477/ A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control Sabo, Aliyu Abdul Wahab, Noor Izzri Mohd Radzi, Mohd Amran Mailah, Nashiren Farzilah Abdul Rahman, Nor Farahaida Suppliers of electricity and their consumers have attained a peak stage of concern regarding the quality of electric power nowadays, with current harmonics concise injection activities looms the power networks as certain loads (principally nonlinear loads) are applied on to it. With active power filter (APF) wide knowledge and sophistication in this regard, a high performance extraction algorithm coupled with a fast switching technique must be developed in utilizing this device optimum potential. This paper introduces a new effective algorithms for the compensation of this ill effects in the power networks namely the digital hysteresis algorithm with a modification by bandwidth absence in the switching analysis (called bandless digital hysteresis algorithm) and a modified artificial neural network responsible to detect and generate the necessary compensation signal injected on to the power networks by the harmonic agents. The proposed scheme is achieved via simulation studies (under MATLAB SIMULINK environment) and effectives results obtained are discussed to verify its performance. IEEE 2014 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68477/1/A%20modified%20digital%20hysteresis%20and%20artificial%20neural%20network%20%28ANN%29%20algorithms%20in%20single%20phase%20shunt%20active%20power%20filter%20control.pdf Sabo, Aliyu and Abdul Wahab, Noor Izzri and Mohd Radzi, Mohd Amran and Mailah, Nashiren Farzilah and Abdul Rahman, Nor Farahaida (2014) A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control. In: 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 20-23 May 2014, Berjaya Times Square Hotel, Kuala Lumpur, Malaysia. (pp. 198-203). 10.1109/ISGT-Asia.2014.6873789 |
| spellingShingle | Sabo, Aliyu Abdul Wahab, Noor Izzri Mohd Radzi, Mohd Amran Mailah, Nashiren Farzilah Abdul Rahman, Nor Farahaida A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control |
| title | A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control |
| title_full | A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control |
| title_fullStr | A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control |
| title_full_unstemmed | A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control |
| title_short | A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control |
| title_sort | modified digital hysteresis and artificial neural network (ann) algorithms in single phase shunt active power filter control |
| url | http://psasir.upm.edu.my/id/eprint/68477/ http://psasir.upm.edu.my/id/eprint/68477/ http://psasir.upm.edu.my/id/eprint/68477/1/A%20modified%20digital%20hysteresis%20and%20artificial%20neural%20network%20%28ANN%29%20algorithms%20in%20single%20phase%20shunt%20active%20power%20filter%20control.pdf |