元启发式算法在PV系统部分遮阳条件下的应用

Sampath Kumar Vankadara, Shamik Chatterjee, Praveen Kumar Balachandran
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引用次数: 2

摘要

由于旁路二极管在遮光模块上工作,在部分遮光的PSC下PV系统的电气特性显示出许多最大值。为了最大限度地利用光伏系统,需要强制其在PSC下以全球MPP运行。本文讨论了元启发式MPPT策略、增强型灰狼优化算法(EGWO)和海洋捕食者算法(MPA),并进行了比较。本文讨论了8S(8系列)PV装置在PSC下动态改变遮阳模式时,使用建议的MPPT方法进行全局MPP跟踪,并显示了跟踪结果。
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Applications of Metaheuristic Algorithms for MPPT Under Partial Shaded Condition in PV System
Due to the bypass diode operating across the shaded module, the electrical characteristics of the PV system under partly shaded PSC display numerous maxima. In order to get the most out of the PV system, it needs to be forced to run at global MPP under PSC. In this paper, Metaheuristic MPPT strategies Enhanced Grey Wolf Optimization algorithm (EGWO) and Marine Predator Algorithm (MPA) are discussed and comparison has been done. The use of suggested MPPT approaches for global MPP tracking exposed to PSC for dynamically changing shading patterns for 8S (Eight series) PV setups is discussed, and tracking results are shown.
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