Design and Analysis of DC-DC Converters with MPPT Controller based on Salp Swarm Algorithm for a Grid-Connected PV System

被引：0

作者：

Mostafa, Hazem H. ^{[1
]}

Ibrahim, Amr M. ^{[2
]}

机构：

[1] Egyptian Chinese Univ, Energy & Renewable Energy Dept, Cairo, Egypt

[2] Ain Shams Univ, Elect Power & Machines Dept, Cairo, Egypt

来源：

2019 21ST INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON 2019) | 2019年

关键词：

Bio-Inspired algorithm; Salp swarm algorithm; Maximum power point tracking; DC-DC converter;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This manuscript presents a methodology to develop a state-space averaging approach for power converters to improve the analytic descriptions of the buck converter and boost converter based on the effect of parasitic elements. The study reveals descriptions for output voltage and efficiency for the proposed converters. Theoretical models are assisted by an experimental work to stand on the precision of the suggested methodology. The suggested boost converter is then used along with the new Salp Swarm Algorithm as an MPPT controller for grid-connected PV system. In order to validate the proposed methodology, a comprehensive comparison is accomplished utilizing Grey Wolf Optimization algorithm and the Moth Flame Algorithm. The suggested controller is tested under different irradiance conditions. The results indicate that efficiency and robustness of the controller over other modern techniques.

引用

页码：111 / 118

页数：8

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