Performance optimization of photovoltaic system under real climatic conditions using a novel MPPT approach

光伏系统 最大功率点跟踪 计算机科学 环境科学 控制理论(社会学) 工程类 人工智能 电气工程 电压 控制(管理) 逆变器
作者
Hamid Belghiti,Khalid Kandoussi,Abdеlkhalеk Chеllakhi,Youssef Mchaouar,Rabie El Otmani,El Mostafa Sadek
出处
期刊:Energy Sources, Part A: Recovery, Utilization, And Environmental Effects [Taylor & Francis]
卷期号:46 (1): 2474-2492 被引量:7
标识
DOI:10.1080/15567036.2024.2308656
摘要

In order to mitigate the impact of temperature and irradiation variations on photovoltaic (PV) panels, it is crucial to employ the maximum power point tracking (MPPT) technique. This paper introduces a novel MPPT approach that provides a reference current, denoted as Iref, to extract the maximum power from the PV array. The difference between the input current Ipv, and Iref is then fed into a PID controller, which adjusts the duty cycle accordingly to control the Quadratic Boost Converter (QBC). The proposed MPPT approach is based on the analysis of measurement data obtained from PV panels. From this, a linear mathematical function between Iref and solar irradiation is achieved. To assess the performance of this approach, a comparative study is being carried out not only with conventional MPPT techniques such as P&O and INC-COND but also with modern techniques such as ANN, PSO, FLC, and improved P&O (IMP-P&O). The simulation results clearly demonstrate enhanced tracking performance under various test conditions, including the Step & Ropp test, as well as real profiles for both sunny and cloudy days. Certainly, the novel approach shows its ability to outperform both conventional and modern methods with a faster convergence speed (less than 2 milliseconds), the lowest steady-state oscillations (less than 0.25 Watts), and the highest tracking efficiency (greater than 99.79%).
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