Incremental Conductance Algorithm Optimization for a Photovoltaic System with Fast Response Under Fast-Varying of Solar Power

被引：1
|
作者：
Abd, Hamam M. [1 ]
Abdo, Emad A. [1 ]
Jasim, Abdulhamed M. [1 ]
Sabaawi, Ahmed M. A. [1 ]
机构：
[1] Ninevah Univ, Coll Elect Engn, Mosul, Iraq
来源：
2019 10TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC) | 2019年
关键词：
renenie energy; photovolaics; optimization; MPPT;
D O I：
10.1109/irec.2019.8754600
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：
In order to provide full utilization of photovoltaic (PV) output power under fast changing solar irradiation with less power losses, a maximum power (NIP) point tracking (PT) algorithm with a fast -converging is employed to ensure the fast response of the photovoltaic (PV) system. One of the most efficient techniques used is the incremental conductance (INC) technique due to its adaptability to the rapidly varying atmospheric conditions and accuracy at steady state. In this work, incremental conductance (INC) MPPT algorithm is optimized, where INC MPPT algorithm has been adjusted to be suitable for varying weather conditions. The proposed algorithm has increased the efficiency and the speed of convergence for the incremental conductance (INC) MPPT algorithm.
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页数：6
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