光伏系统
最大功率点跟踪
最大功率原理
太阳辐照度
辐照度
可再生能源
萤火虫算法
控制器(灌溉)
光伏并网发电系统
太阳能微型逆变器
太阳能
MATLAB语言
计算机科学
汽车工程
控制理论(社会学)
工程类
电气工程
算法
粒子群优化
控制(管理)
物理
光学
电压
人工智能
气象学
农学
操作系统
逆变器
生物
作者
Idoko Sunday John,Abubakar Abdulkarim,G. A. Olarinoye
标识
DOI:10.1186/s43067-023-00114-0
摘要
Abstract Solar photovoltaic (PV) system is one of the most promising power systems based on renewable energy sources, with several advantages compared to others. However, solar PV systems have a challenge of low conversion efficiency because most of the irradiances of the sun, which are channelled to the PV panels, are not fully utilized for power consumption. A more challenging situation of the system occurs when some of its panels are obstructed from full reception of the solar irradiance, a case referred to as partial shading conditions (PSC) in solar PV systems. This leads to the generation of multiple, unequal power peaks in the system, from which the one with the highest power must be tracked for optimum utilization of the system. To this regard, this work presents a modified firefly algorithm-based controller, tied operationally with a DC–DC boost converter. A model was developed and simulated on MATLAB, for tracking the maximum power point of the system, both at constant solar irradiance and at PSC.
科研通智能强力驱动
Strongly Powered by AbleSci AI