An improved particle swarm optimization based maximum power point tracking algorithm for PV system operating under partial shading conditions

Concerns over environment and increased demand for energy have led the world to think about alternate energy sources such as the wind, hydro, solar and fuel cells. Out of these photovoltaic (PV) generation systems (PGS) become increasingly important all over the world due to its availability, cleann...

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Veröffentlicht in:Solar energy Jg. 158; S. 1006 - 1015
Hauptverfasser: Dileep, G., Singh, S.N.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier Ltd 01.12.2017
Pergamon Press Inc
Schlagworte:
Algorithms
Electric power generation
Electricity generation
Energy sources
Maintenance costs
Maximum power
MPPT
Optimization algorithms
Partial shading
Particle swarm optimization
Photo voltaic (PV) generation system (PGS)
Photovoltaic cells
Photovoltaics
PSO
Shading
Solar cells
Solar energy
Solar generators
Solar power
Studies
Tracking
Photo voltaic (PV) generation system (PGS)
Partial shading
MPPT
PSO
ISSN:0038-092X, 1471-1257
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Zusammenfassung:Concerns over environment and increased demand for energy have led the world to think about alternate energy sources such as the wind, hydro, solar and fuel cells. Out of these photovoltaic (PV) generation systems (PGS) become increasingly important all over the world due to its availability, cleanness, low maintenance cost, and inexhaustible nature. The probability of partial shading conditions (PSC) is also high for large PGS. Under PSC, the P–V curve of PGS exhibits multiple peaks, which reduces the effectiveness of conventional maximum power point tracking (MPPT) methods. In this paper, an improved particle swarm optimization (PSO) based MPPT algorithm for PGS operating under PSC is proposed. Conventional PSO is modified to meet practical consideration of PGS operating under PSC. Problem formulation, design details, and experimental results are discussed in detail. The proposed technique is independent of system, it is easy to implement, tracking efficiency is high and performance under PSC is good. The effectiveness of the proposed method is validated by analyzing the experimental results obtained from 110 W solar power generation systems.
Bibliographie:ObjectType-Article-1
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ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2017.10.027