Prototype of Power Optimization Based on Converter Topologies Reconfiguration Using PV String Smart Clustering Method for Static Miniature Photovoltaic Farm Under Partially Shaded Condition

Antonius Rajagukguk, Ciptian Weried Priananda, D. C. Riawan, M. Ashari
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引用次数: 6

Abstract

Photovoltaic as one of technology that convert sunlight’s radiation to electrical energy has a great chance to develop in tropical countries such as Indonesia. The effect of partially shaded condition reduce the energy generated and efficiency of photovoltaic farm. This paper proposed new method for power optimization by reconfigurating the converter topologies using Smart Clustering Method. The reconfiguration of converter topologies is based on the voltages magnitude of each string on the PV Farm that clustered by smart clustering method. Each converter have MPPT algorithm, so the total of power generated by PV farm is equal as the sum of power generated by each converter topologies. The modified PnO Algorithm is used in the uniform cluster, and firefly Algorithm is used in the non-uniform cluster. For validation of the proposed method, this paper comparing the performance of proposed method versus the performance of MPPT using single converter topologies as conventional method.
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部分遮阳条件下静态微型光伏电站基于光伏串智能聚类法变流器拓扑重构的功率优化原型
光伏作为一种将太阳光辐射转化为电能的技术,在印度尼西亚等热带国家有很大的发展机会。部分遮荫条件的影响降低了光伏发电场的发电量和效率。本文提出了一种新的功率优化方法,通过使用智能聚类方法重新配置变换器拓扑。变换器拓扑结构的重新配置是基于通过智能聚类方法聚类的光伏场上每个串的电压大小。每个转换器都有MPPT算法,因此光伏发电场产生的总功率等于每个转换器拓扑产生的功率之和。改进的PnO算法用于均匀聚类,萤火虫算法用于非均匀聚类。为了验证所提出的方法,本文将所提出方法的性能与使用单个转换器拓扑作为传统方法的MPPT的性能进行了比较。
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来源期刊
International Review of Automatic Control
International Review of Automatic Control Engineering-Control and Systems Engineering
CiteScore
2.70
自引率
0.00%
发文量
17
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