Resumé
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 1451 |
| Tidsskrift | Energies |
| Vol/bind | 12 |
| Udgave nummer | 8 |
| Antal sider | 21 |
| ISSN | 1996-1073 |
| DOI | |
| Status | Udgivet - apr. 2019 |
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Nature-inspired MPPT algorithms for partially shaded PV systems: A comparative study. / Pathy, Somashree; Subramani, C.; Sridhar, R.; Thamizh Thentral, T. M.; Padmanaban, Sanjeevikumar.
I: Energies, Bind 12, Nr. 8, 1451, 04.2019.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
TY - JOUR
T1 - Nature-inspired MPPT algorithms for partially shaded PV systems: A comparative study
AU - Pathy, Somashree
AU - Subramani, C.
AU - Sridhar, R.
AU - Thamizh Thentral, T. M.
AU - Padmanaban, Sanjeevikumar
PY - 2019/4
Y1 - 2019/4
N2 - PV generating sources are one of the most promising power generation systems in today's power scenario. The inherent potential barrier that PV possesses with respect to irradiation and temperature is its nonlinear power output characteristics. An intelligent power tracking scheme, e.g., maximum power point tracking (MPPT), is mandatorily employed to increase the power delivery of a PV system. The MPPT schemes experiences severe setbacks when the PV is even shaded partially as PV exhibits multiple power peaks. Therefore, the search mechanism gets deceived and gets stuck with the local maxima. Hence, a rational search mechanism should be developed, which will find the global maxima for a partially shaded PV. The conventional techniques like fractional open circuit voltage (FOCV), hill climbing (HC) method, perturb and observe (P&O), etc., even in their modified versions, are not competent enough to track the global MPP (GMPP). Nature-inspired and bio-inspired MPPT techniques have been proposed by the researchers to optimize the power output of a PV system during partially shaded conditions (PSCs). This paper reviews, compares, and analyzes them. This article renders firsthand information to those in the field of research, who seek interest in the performance enhancement of PV system during inhomogeneous irradiation. Each algorithm has its own advantages and disadvantages in terms of convergence speed, coding complexity, hardware compatibility, stability, etc. Overall, the authors have presented the logic of each global search MPPT algorithms and its comparisons, and also have reviewed the performance enhancement of these techniques when these algorithms are hybridized.
AB - PV generating sources are one of the most promising power generation systems in today's power scenario. The inherent potential barrier that PV possesses with respect to irradiation and temperature is its nonlinear power output characteristics. An intelligent power tracking scheme, e.g., maximum power point tracking (MPPT), is mandatorily employed to increase the power delivery of a PV system. The MPPT schemes experiences severe setbacks when the PV is even shaded partially as PV exhibits multiple power peaks. Therefore, the search mechanism gets deceived and gets stuck with the local maxima. Hence, a rational search mechanism should be developed, which will find the global maxima for a partially shaded PV. The conventional techniques like fractional open circuit voltage (FOCV), hill climbing (HC) method, perturb and observe (P&O), etc., even in their modified versions, are not competent enough to track the global MPP (GMPP). Nature-inspired and bio-inspired MPPT techniques have been proposed by the researchers to optimize the power output of a PV system during partially shaded conditions (PSCs). This paper reviews, compares, and analyzes them. This article renders firsthand information to those in the field of research, who seek interest in the performance enhancement of PV system during inhomogeneous irradiation. Each algorithm has its own advantages and disadvantages in terms of convergence speed, coding complexity, hardware compatibility, stability, etc. Overall, the authors have presented the logic of each global search MPPT algorithms and its comparisons, and also have reviewed the performance enhancement of these techniques when these algorithms are hybridized.
KW - Global MPP (GMPP)
KW - MPPT technique
KW - Nature-inspired algorithms
KW - Partial shading
KW - Photovoltaic systems
UR - http://www.scopus.com/inward/record.url?scp=85065705255&partnerID=8YFLogxK
U2 - 10.3390/en12081451
DO - 10.3390/en12081451
M3 - Journal article
AN - SCOPUS:85065705255
VL - 12
JO - Energies
JF - Energies
SN - 1996-1073
IS - 8
M1 - 1451
ER -