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MPPT in PV Systems Using PSO Appended with Centripetal Instinct Attribute

机译：使用PSO附加的PV系统中的MPPT，附有焦点本Instinct属性

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The objective of this research work is to develop an enhanced particle swarm optimization (PSO) and apply the same toward maximum power point tracking (MPPT) in photovoltaic (PV) systems under partial-shaded conditions. Toward this goal, detailed study is carried out in the flocking behavior of birds and it is observed that during the initial stages, birds do fly randomly, but as the flight continues the peripheral elements show the tendency to move to the core of flock. This characteristic feature is integrated with conventional PSO and a new PSO is developed. In the new PSO, birds search the nook and corner of the solution space in the early stages and then the marginal elements of the flock are made to move to the center. This behavioral attribute enhances convergence characteristics of the bird flock. The new concept is lucidly explained and then applied to MPPT in PV systems. Computed and measured MPPT curves are given to demonstrate the validity of the new PSO.
机译：该研究工作的目的是开发增强的粒子群优化（PSO），并在局部阴影条件下的光伏（PV）系统中的最大功率点跟踪（MPPT）相同。对此目标，详细研究是在鸟类的植绒行为中进行的，观察到在初始阶段，鸟类会随机飞行，但随​​着飞行继续外围元件，表明围绕植绒核心的趋势。该特征与传统的PSO集成，开发了新的PSO。在新的PSO中，鸟类在早期阶段中寻找解决方案空间的角落，然后使羊群的边缘元素移动到中心。这种行为属性增强了鸟群的收敛特征。被解释的新概念被解释，然后在光伏系统中应用于MPPT。计算和测量的MPPT曲线被展示了新PSO的有效性。

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