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Enhanced energy harvesting from shaded PV systems using an improved particle swarm optimisation

机译:使用改进的粒子群优化来增强来自阴影PV系统的能量收集

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This research work is concerned with maximum power point tracking (MPPT) in photovoltaic (PV) systems under partially shaded conditions (PSCs) through an improved particle swarm optimisation (PSO). The traditional PSO is investigated toward MPPT and the reasons for delayed convergence characteristics are investigated. Then, a modified PSO is proposed, in which population is reduced sequentially by eliminating less-promising particles. The new concept is applied to a 30 kW PV plant situated in a school building and the results are analysed. The new methodology is also experimentally verified on a 400 W prototype PV system in the laboratory. Enhanced energy harvesting from the existing 30 kW PV plant is highlighted considering realistic shading patterns and full bright conditions of solar insolation. The computed and measured results clearly demonstrate that the new PSO is a promising candidate for MPPT in PV systems under PSC.
机译:该研究工作涉及通过改进的粒子群优化(PSO)在部分阴影条件(PSC)下的光伏(PV)系统中的最大功率点跟踪(MPPT)。调查传统的PSO,研究了延迟收敛特征的原因。然后,提出了一种改性的PSO,其中通过消除较少有前途的颗粒来依次减小群体。新概念适用于位于学校建筑的30千瓦光伏工厂,并分析了结果。在实验室的400 W原型光伏系统上还在实验上验证了新的方法。考虑到现实的阴影图案和太阳能呈现的全明亮条件,强调了现有30千瓦光伏厂的增强能量收获。计算和测量结果清楚地表明新的PSO是PSC下光伏系统中MPPT的有希望的候选者。

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