Hardware validation of hybrid MPPT technique via Novel ML controller and P&O method
The proposed paper deals with the hardware validation of Hybrid Maximum power point tracking (MPPT) technique via Novel ML (Monotonous Learning) Controller & Perturb & Observe (P&O) Method. MPPT methods find its inability in handling periodic variation against tiny change in irra...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722020029 |
| _version_ | 1797952182433087488 |
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| author | Uma Yadav Anju Gupta Rajesh kr Ahuja |
| author_facet | Uma Yadav Anju Gupta Rajesh kr Ahuja |
| author_sort | Uma Yadav |
| collection | DOAJ |
| description | The proposed paper deals with the hardware validation of Hybrid Maximum power point tracking (MPPT) technique via Novel ML (Monotonous Learning) Controller & Perturb & Observe (P&O) Method. MPPT methods find its inability in handling periodic variation against tiny change in irradiance and temperature. Further, it also shows its inability in enhancing its dynamic responsiveness when irradiance varies quickly. To overcome these problems, this paper proposed a Novel ML controller incorporated with P&O method along with its hardware validation to confirm the suitability of this Novel controller in practical environment. Novel ML Controller can manage periodic fluctuations whenever there is a little irradiance to eliminate mistakes and steady state oscillations. To improve dynamic responsiveness when irradiance fluctuates fast, we are using P&O approach without dead time. The presented paper also discusses the design, stability analysis, hardware validation of proposed Novel ML Controller along with MATLAB simulation. |
| first_indexed | 2024-04-10T22:42:56Z |
| format | Article |
| id | doaj.art-f8fef7a0d31c481a9897a7f486944aa1 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T22:42:56Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-f8fef7a0d31c481a9897a7f486944aa12023-01-16T04:08:15ZengElsevierEnergy Reports2352-48472022-12-0187784Hardware validation of hybrid MPPT technique via Novel ML controller and P&O methodUma Yadav0Anju Gupta1Rajesh kr Ahuja2Corresponding author.; Department of Electrical Engineering, J.C.Bose University of science and technology, YMCA, Faridabad, IndiaDepartment of Electrical Engineering, J.C.Bose University of science and technology, YMCA, Faridabad, IndiaDepartment of Electrical Engineering, J.C.Bose University of science and technology, YMCA, Faridabad, IndiaThe proposed paper deals with the hardware validation of Hybrid Maximum power point tracking (MPPT) technique via Novel ML (Monotonous Learning) Controller & Perturb & Observe (P&O) Method. MPPT methods find its inability in handling periodic variation against tiny change in irradiance and temperature. Further, it also shows its inability in enhancing its dynamic responsiveness when irradiance varies quickly. To overcome these problems, this paper proposed a Novel ML controller incorporated with P&O method along with its hardware validation to confirm the suitability of this Novel controller in practical environment. Novel ML Controller can manage periodic fluctuations whenever there is a little irradiance to eliminate mistakes and steady state oscillations. To improve dynamic responsiveness when irradiance fluctuates fast, we are using P&O approach without dead time. The presented paper also discusses the design, stability analysis, hardware validation of proposed Novel ML Controller along with MATLAB simulation.http://www.sciencedirect.com/science/article/pii/S2352484722020029Monotous Learning (ML) controllerP&O methodMPPTPVCells, Renewable energy |
| spellingShingle | Uma Yadav Anju Gupta Rajesh kr Ahuja Hardware validation of hybrid MPPT technique via Novel ML controller and P&O method Energy Reports Monotous Learning (ML) controller P&O method MPPT PV Cells, Renewable energy |
| title | Hardware validation of hybrid MPPT technique via Novel ML controller and P&O method |
| title_full | Hardware validation of hybrid MPPT technique via Novel ML controller and P&O method |
| title_fullStr | Hardware validation of hybrid MPPT technique via Novel ML controller and P&O method |
| title_full_unstemmed | Hardware validation of hybrid MPPT technique via Novel ML controller and P&O method |
| title_short | Hardware validation of hybrid MPPT technique via Novel ML controller and P&O method |
| title_sort | hardware validation of hybrid mppt technique via novel ml controller and p o method |
| topic | Monotous Learning (ML) controller P&O method MPPT PV Cells, Renewable energy |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722020029 |
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