Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources
Multilayer inverters (MLIs) play an important role in their efficiency and effec-tiveness. This study proposes a new MLI that is optimally adapted using DQZcontrol and a vague neurological approach for tracking the single maximumpower point of a hybrid renewable energy source. This MLI has a bidirec...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Electronics and Telecommunications Research Institute (ETRI)
2025-08-01
|
| Series: | ETRI Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.4218/etrij.2024-0170 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849224619200872448 |
|---|---|
| author | Akharakit Chaithanakulwat Teerawut Savangboon Nuttee Thungsuk Taweesak Tanaram Papol Sardyong |
| author_facet | Akharakit Chaithanakulwat Teerawut Savangboon Nuttee Thungsuk Taweesak Tanaram Papol Sardyong |
| author_sort | Akharakit Chaithanakulwat |
| collection | DOAJ |
| description | Multilayer inverters (MLIs) play an important role in their efficiency and effec-tiveness. This study proposes a new MLI that is optimally adapted using DQZcontrol and a vague neurological approach for tracking the single maximumpower point of a hybrid renewable energy source. This MLI has a bidirectionalfixed switch, the purpose of which is to reduce harmonics and increase thevoltage level. The maximum power point tracking (MPPT) method proposedhere is the only MPPT method that uses neuro-fuzzy control algorithms, mak-ing it superior to other methods. The proposed inverter consists of 12 powersemiconductor switches (IGBTs) connected to three DC power sources—thatis, photovoltaic, wind, and tidal energy power sources. The switching angle forpulse-width modulation can be calculated using the DQZ principle in the pro-posed MLI. Evaluation of the effectiveness of the proposed method usesMATLAB/Simulink simulations, the results being compared to those of theprototype mechanism. We also compare the performance of the MPPT algo-rithm and prototype mechanism, which is connected to a single-phase micro-grid. The proposed method achieves total harmonic distortion (THD)efficiency with a satisfactory performance increase. |
| format | Article |
| id | doaj-art-0ba6c4ea5fbf4ebc985babfc1fc7e2c6 |
| institution | Kabale University |
| issn | 1225-6463 2233-7326 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Electronics and Telecommunications Research Institute (ETRI) |
| record_format | Article |
| series | ETRI Journal |
| spelling | doaj-art-0ba6c4ea5fbf4ebc985babfc1fc7e2c62025-08-25T07:00:07ZengElectronics and Telecommunications Research Institute (ETRI)ETRI Journal1225-64632233-73262025-08-0147465767110.4218/etrij.2024-0170Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sourcesAkharakit ChaithanakulwatTeerawut SavangboonNuttee ThungsukTaweesak TanaramPapol SardyongMultilayer inverters (MLIs) play an important role in their efficiency and effec-tiveness. This study proposes a new MLI that is optimally adapted using DQZcontrol and a vague neurological approach for tracking the single maximumpower point of a hybrid renewable energy source. This MLI has a bidirectionalfixed switch, the purpose of which is to reduce harmonics and increase thevoltage level. The maximum power point tracking (MPPT) method proposedhere is the only MPPT method that uses neuro-fuzzy control algorithms, mak-ing it superior to other methods. The proposed inverter consists of 12 powersemiconductor switches (IGBTs) connected to three DC power sources—thatis, photovoltaic, wind, and tidal energy power sources. The switching angle forpulse-width modulation can be calculated using the DQZ principle in the pro-posed MLI. Evaluation of the effectiveness of the proposed method usesMATLAB/Simulink simulations, the results being compared to those of theprototype mechanism. We also compare the performance of the MPPT algo-rithm and prototype mechanism, which is connected to a single-phase micro-grid. The proposed method achieves total harmonic distortion (THD)efficiency with a satisfactory performance increase.https://doi.org/10.4218/etrij.2024-0170dqz controlharmonic distortionhybrid renewablemaximum power point trackingmultilayer inverterneuro-fuzzy |
| spellingShingle | Akharakit Chaithanakulwat Teerawut Savangboon Nuttee Thungsuk Taweesak Tanaram Papol Sardyong Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources ETRI Journal dqz control harmonic distortion hybrid renewable maximum power point tracking multilayer inverter neuro-fuzzy |
| title | Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources |
| title_full | Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources |
| title_fullStr | Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources |
| title_full_unstemmed | Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources |
| title_short | Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources |
| title_sort | multilayer inverter with dqz and neuro fuzzy control for single maximum power point tracking of hybrid renewable sources |
| topic | dqz control harmonic distortion hybrid renewable maximum power point tracking multilayer inverter neuro-fuzzy |
| url | https://doi.org/10.4218/etrij.2024-0170 |
| work_keys_str_mv | AT akharakitchaithanakulwat multilayerinverterwithdqzandneurofuzzycontrolforsinglemaximumpowerpointtrackingofhybridrenewablesources AT teerawutsavangboon multilayerinverterwithdqzandneurofuzzycontrolforsinglemaximumpowerpointtrackingofhybridrenewablesources AT nutteethungsuk multilayerinverterwithdqzandneurofuzzycontrolforsinglemaximumpowerpointtrackingofhybridrenewablesources AT taweesaktanaram multilayerinverterwithdqzandneurofuzzycontrolforsinglemaximumpowerpointtrackingofhybridrenewablesources AT papolsardyong multilayerinverterwithdqzandneurofuzzycontrolforsinglemaximumpowerpointtrackingofhybridrenewablesources |