Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique
Partial shading is an unavoidable condition which significantly reduces the efficiency and stability of a photovoltaic (PV) system. When partial shading occurs the system has multiple-peak output power characteristics. In order to track the global maximum power point (GMPP) within an appropriate per...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-03-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/9/3/147 |
| _version_ | 1818001066980016128 |
|---|---|
| author | Mehdi Seyedmahmoudian Ben Horan Rasoul Rahmani Aman Maung Than Oo Alex Stojcevski |
| author_facet | Mehdi Seyedmahmoudian Ben Horan Rasoul Rahmani Aman Maung Than Oo Alex Stojcevski |
| author_sort | Mehdi Seyedmahmoudian |
| collection | DOAJ |
| description | Partial shading is an unavoidable condition which significantly reduces the efficiency and stability of a photovoltaic (PV) system. When partial shading occurs the system has multiple-peak output power characteristics. In order to track the global maximum power point (GMPP) within an appropriate period a reliable technique is required. Conventional techniques such as hill climbing and perturbation and observation (P&O) are inadequate in tracking the GMPP subject to this condition resulting in a dramatic reduction in the efficiency of the PV system. Recent artificial intelligence methods have been proposed, however they have a higher computational cost, slower processing time and increased oscillations which results in further instability at the output of the PV system. This paper proposes a fast and efficient technique based on Radial Movement Optimization (RMO) for detecting the GMPP under partial shading conditions. The paper begins with a brief description of the behavior of PV systems under partial shading conditions followed by the introduction of the new RMO-based technique for GMPP tracking. Finally, results are presented to demonstration the performance of the proposed technique under different partial shading conditions. The results are compared with those of the PSO method, one of the most widely used methods in the literature. Four factors, namely convergence speed, efficiency (power loss reduction), stability (oscillation reduction) and computational cost, are considered in the comparison with the PSO technique. |
| first_indexed | 2024-04-14T03:29:51Z |
| format | Article |
| id | doaj.art-2e2268bfff03455288c3ea720f156e8c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T03:29:51Z |
| publishDate | 2016-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2e2268bfff03455288c3ea720f156e8c2022-12-22T02:15:00ZengMDPI AGEnergies1996-10732016-03-019314710.3390/en9030147en9030147Efficient Photovoltaic System Maximum Power Point Tracking Using a New TechniqueMehdi Seyedmahmoudian0Ben Horan1Rasoul Rahmani2Aman Maung Than Oo3Alex Stojcevski4School of Engineering, Deakin University, Waurn Ponds, VIC 3216, AustraliaSchool of Engineering, Deakin University, Waurn Ponds, VIC 3216, AustraliaSchool of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, AustraliaSchool of Engineering, Deakin University, Waurn Ponds, VIC 3216, AustraliaCentre of Technology, RMIT University, Ho Chi Minh 70000, VietnamPartial shading is an unavoidable condition which significantly reduces the efficiency and stability of a photovoltaic (PV) system. When partial shading occurs the system has multiple-peak output power characteristics. In order to track the global maximum power point (GMPP) within an appropriate period a reliable technique is required. Conventional techniques such as hill climbing and perturbation and observation (P&O) are inadequate in tracking the GMPP subject to this condition resulting in a dramatic reduction in the efficiency of the PV system. Recent artificial intelligence methods have been proposed, however they have a higher computational cost, slower processing time and increased oscillations which results in further instability at the output of the PV system. This paper proposes a fast and efficient technique based on Radial Movement Optimization (RMO) for detecting the GMPP under partial shading conditions. The paper begins with a brief description of the behavior of PV systems under partial shading conditions followed by the introduction of the new RMO-based technique for GMPP tracking. Finally, results are presented to demonstration the performance of the proposed technique under different partial shading conditions. The results are compared with those of the PSO method, one of the most widely used methods in the literature. Four factors, namely convergence speed, efficiency (power loss reduction), stability (oscillation reduction) and computational cost, are considered in the comparison with the PSO technique.http://www.mdpi.com/1996-1073/9/3/147photovoltaic systemsmaximum power point trackingpartial shading conditionssoft computing methodsenergy efficiencystabilitycomputational cost |
| spellingShingle | Mehdi Seyedmahmoudian Ben Horan Rasoul Rahmani Aman Maung Than Oo Alex Stojcevski Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique Energies photovoltaic systems maximum power point tracking partial shading conditions soft computing methods energy efficiency stability computational cost |
| title | Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique |
| title_full | Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique |
| title_fullStr | Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique |
| title_full_unstemmed | Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique |
| title_short | Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique |
| title_sort | efficient photovoltaic system maximum power point tracking using a new technique |
| topic | photovoltaic systems maximum power point tracking partial shading conditions soft computing methods energy efficiency stability computational cost |
| url | http://www.mdpi.com/1996-1073/9/3/147 |
| work_keys_str_mv | AT mehdiseyedmahmoudian efficientphotovoltaicsystemmaximumpowerpointtrackingusinganewtechnique AT benhoran efficientphotovoltaicsystemmaximumpowerpointtrackingusinganewtechnique AT rasoulrahmani efficientphotovoltaicsystemmaximumpowerpointtrackingusinganewtechnique AT amanmaungthanoo efficientphotovoltaicsystemmaximumpowerpointtrackingusinganewtechnique AT alexstojcevski efficientphotovoltaicsystemmaximumpowerpointtrackingusinganewtechnique |