globalchange  > 气候变化与战略
DOI: 10.3390/su12031185
论文题名:
Performance improvement of PV systems' maximum power point tracker based on a scanning PSO particle strategy
作者: Eltamaly A.M.; Al-Saud M.S.; Abo-Khalil A.G.
刊名: Sustainability (Switzerland)
ISSN: 20711050
出版年: 2020
卷: 12, 期:3
语种: 英语
英文关键词: Initialization ; MPPT ; Partial shading ; Particle swarm optimization ; Photovoltaic ; Scanning particle
英文摘要: Partial shading of PV systems generates many peaks in the P-V curve. These peaks have one global peak (GP), the remaining being local peaks (LPs). Metaheuristic techniques such as PSO have proven superiority in capturing the GP and avoiding entrapment in an LP in comparison to conventional techniques. In case of partial shading conditions (PSC), the GP may change its position and value in the P-V curve and the PSO is unable to capture the GP unless they reinitialize. Reinitialization of PSO particles spends a long time for convergence; and it may cause premature convergence. This paper proposes a novel strategy for scanning the new position of the GP in case of PSC changes without a need for reinitialization. The proposed strategy sends a particle to the anticipated places of peaks to search for any peak with power greater than the current GP and when it locates this new GP it will move the PSO particles directly to the new GP. This strategy reduced the reinitialization time by 650% as compared to the time required for the random reinitialization of the conventional PSO technique. Moreover; this proposed strategy completely avoids the premature convergence associated with conventional PSO techniques. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159877
Appears in Collections:气候变化与战略

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作者单位: Saudi Electricity Company Chair in Power System Reliability and Security, King Saud University, Riyadh, 11421, Saudi Arabia; Sustainable Energy Technologies Center, King Saud University, Riyadh, 11421, Saudi Arabia; Electrical Engineering Department, Mansoura University, Mansoura, 35516, Egypt; Electrical Engineering Department, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia; Electrical Engineering Department, Majmaah University, Almajmaah, 11952, Saudi Arabia; Electrical Engineering Department, Assiut University, Assiut, 71515, Egypt

Recommended Citation:
Eltamaly A.M.,Al-Saud M.S.,Abo-Khalil A.G.. Performance improvement of PV systems' maximum power point tracker based on a scanning PSO particle strategy[J]. Sustainability (Switzerland),2020-01-01,12(3)
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