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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| Published in: | Solar energy Vol. 158; pp. 1006 - 1015 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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New York
Elsevier Ltd
01.12.2017
Pergamon Press Inc |
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| ISSN: | 0038-092X, 1471-1257 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Dileep, G. Singh, S.N. |
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| SubjectTerms | 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 |
| Title | An improved particle swarm optimization based maximum power point tracking algorithm for PV system operating under partial shading conditions |
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