文章基本信息

标题：NEW TECHNIQUE FOR SIZING OPTIMIZATION OF A STAND-ALONE PHOTOVOLTAIC SYSTEM
本地全文：下载
作者：NUR IZZATI ABDUL AZIZ ; SHAHRIL IRWAN SULAIMAN ; SULAIMAN SHAARI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：67
期号：2
出版社：Journal of Theoretical and Applied
摘要：This paper presents a method for sizing optimization in Stand-Alone Photovoltaic (SAPV) system. Evolutionary Programming (EP) was integrated in the sizing process to maximize the technical performance of the system. It is used to determine the optimal PV module, charge controller, inverter and battery such that the expected Performance Ratio (PR) of the SAPV system could be maximized. Two EP models, i.e. the Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) were tested in determining the best EP model for the EP-based sizing algorithm. In addition, an iterative-based sizing algorithm was developed to determine the optimal solution for benchmarking purposes. The results showed that CEP had outperformed the FEP by producing higher PR despite having almost similar computation time. However, the sizing algorithm using both EP models was also found to be much faster when compared to the iterative-based sizing algorithm, thus justifying the needs for incorporating EP in the sizing algorithm.
关键词：Photovoltaic (PV); Stand-Alone Photovoltaic (SAPV); Evolutionary Programming (EP); Sizing; Optimization