文章基本信息

标题：A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems
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作者：Ehtisham Lodhi ; Fei-Yue Wang ; Gang Xiong 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2021
卷号：13
期号：19
页码：10778
DOI：10.3390/su131910778
语种：English
出版社：MDPI, Open Access Journal
摘要：Currently, grid-connected Photovoltaic (PV) systems are widely encouraged to meet increasing energy demands. However, there are many urgent issues to tackle that are associated with PV systems. Among them, partial shading is the most severe issue as it reduces efficiency. To achieve maximum power, PV system utilizes the maximum power point-tracking (MPPT) algorithms. This paper proposed a two-level converter system for optimizing the PV power and injecting that power into the grid network. The boost converter is used to regulate the MPPT algorithm. To make the grid-tied PV system operate under non-uniform weather conditions, dragonfly optimization algorithm (DOA)-based MPPT was put forward and applied due to its ability to trace the global peak and its higher efficiency and shorter response time. Furthermore, in order to validate the overall performance of the proposed technique, comparative analysis of DOA with adaptive cuckoo search optimization (ACSO) algorithm, fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN), improved particle swarm optimization (IPSO), and PSO and Perturb and Observe (P&O) algorithm were presented by using Matlab/Simulink. Subsequently, a voltage source inverter (VSI) was utilized to regulate the active and reactive power injected into the grid with high efficiency and minimum total harmonic distortion (THD). The instantaneous reactive power was adjusted to zero for maintaining the unity power factor. The results obtained through Matlab/Simulink demonstrated that power injected into the grid is approximately constant when using the DOA MPPT algorithm. Hence, the grid-tied PV system’s overall performance under partial shading was found to be highly satisfactory and acceptable.
关键词：photovoltaic (PV); partial shading; maximum power point tracking (MPPT); dragonfly optimization algorithm (DOA); adaptive cuckoo search optimization (ACSO); fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN); improved particle swarm optimization (IPSO); voltage source inverter (VSI); total harmonic distortion (THD)