globalchange  > 气候变化与战略
DOI: 10.1016/j.rser.2020.109719
论文题名:
Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading
作者: Eltamaly A.M.; Al-Saud M.S.; Abokhalil A.G.; Farh H.M.H.
刊名: Renewable and Sustainable Energy Reviews
ISSN: 13640321
出版年: 2020
卷: 124
语种: 英语
英文关键词: Adaptive particle swarm optimization ; Dynamic irradiance change ; Global peak ; Maximum power point tracker ; Partial shading conditions ; Photovoltaic
Scopus关键词: DC-DC converters ; Maximum power point trackers ; Photovoltaic cells ; Adaptive particle swarm optimizations ; Global peak ; Irradiance change ; Partial shading ; Photovoltaic ; Particle swarm optimization (PSO)
英文摘要: The P–V characteristics of PV array has one peak under uniformly distributed irradiances. Whereas, there are many peaks in the P–V curve when the irradiance is not uniformly distributed over the PV array which is called “partial shading conditions (PSCs)”. Due to its robustness in tracking the global peak (GP) of many applications, metaheuristic techniques are used as maximum power point tracker (MPPT) for the PV system under PSCs. Particle swarm optimization (PSO) has been used in this paper for this purpose. Three problems associated with the PSO have been solved in this paper using a novel fast adaptive PSO (APSO) strategy. The problem of long convergence time has been solved by updating starting values of the duty ratio of the DC-DC boost converter to be at the anticipated places of peaks. This modification reduces the convergence time and avoids the premature convergence. The problem of stored GP in the memory will prevent the PSO from capturing the current GP in case of it is lower than the stored one. This problem is solved in this paper by updating the memorized GP with the current maximum power when it is not changed for two successive iterations. The third problem of sudden change in PSCs is solved by using the updated values of duty ratio at anticipated peaks as initial values for particles. To the best of the authors’ knowledge, these problems have not been discussed or solved before in the literature. A comparison to the state-of-the-art random initialization PSO strategy shows the superiority of the proposed APSO technique in terms of tracking speed and dynamic GP tracking. The results obtained from the simulation of this strategy proved its superiority in always tracking the GP under dynamic PSCs change. © 2020 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158242
Appears in Collections:气候变化与战略

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作者单位: Sustainable Energy Technologies Center, King Saud University, Riyadh, 11421, Saudi Arabia; Electrical Engineering Department, Mansoura University, Mansoura, Egypt; Saudi Electricity Company Chair in Power System Reliability and Security, King Saud University, Riyadh, 11421, Saudi Arabia; Electrical Engineering Department, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia; Electrical Engineering Department, Majmaah University, Almajmaah11952, Saudi Arabia; Electrical Engineering Department, Assiut University, Assiut, 71515, Egypt

Recommended Citation:
Eltamaly A.M.,Al-Saud M.S.,Abokhalil A.G.,et al. Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading[J]. Renewable and Sustainable Energy Reviews,2020-01-01,124
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