Optimal Design of Stand Alone Photovoltaic System Using Evolutionary Programming

被引：0

作者：

Othman, Zulkifli ^{[1
]}

Sulaiman, Shahril Irwan ^{[1
]}

Musirin, Ismail ^{[1
]}

Omar, Ahmad Maliki ^{[1
]}

Shaari, Sulaiman ^{[2
]}

机构：

[1] Univ Teknol Mara, Fac Elect Engn, Selangor, Malaysia

[2] Univ Teknol Mara, Fac Sci Appl, Selangor, Malaysia

来源：

2016 IEEE CONFERENCE ON SYSTEMS, PROCESS AND CONTROL (ICSPC) | 2016年

关键词：

SAPV; MPPT charge controller; EP; Economic Evaluation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes the optimization of Photovoltaic-Battery system with MPPT-based charge controller using Evolutionary Programming in MATLAB. Therefore, this research includes the determination of appropriate system voltage, battery bank, Photovoltaic array and inverter needed in order to fulfill the required load. On the other hand, the selected photovoltaic module will be identified from different type of photovoltaic modules with and without using Evolutionary Programming which plays an important role in this system to get more efficient of photovoltaic module. Thus, the result is obtaining the cost of Stand Alone Photovoltaic system components. The data of load profile and solar irradiation are classified known from location in Tawau, Sabah.

引用

页码：196 / 201

页数：6

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