Comparison of MPPT methods FLC & PSO for PV system under variable irradiance and temperature

W. Hayder, A. Abid, M. Hamed, E. Ogliari, L. Sbita
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引用次数: 5

Abstract

This paper deals with the integration and analysis of two different maximum power point tracking (MPPT) control methods, which are tested under temperature and irradiance variation. These MPPT methods, designed by fuzzy logic control (FLC) and Particle Swarm Optimization algorithm (PSO), have been created for photovoltaic systems (PV) and simulated to obtain the various system responses such as: duty cycle, voltage and power. A comparison between the performances of the FLC and PSO algorithms have been completed to confirm the best characteristics of FLC method in terms of rapidity, precision and simplicity.
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变辐照度和变温度下PV系统MPPT方法FLC和PSO的比较
本文对两种不同的最大功率点跟踪(MPPT)控制方法进行了集成和分析,并在温度和辐照度变化下进行了测试。采用模糊逻辑控制(FLC)和粒子群优化算法(PSO)设计的MPPT方法,针对光伏系统(PV)进行了仿真,得到了系统的各种响应,如占空比、电压和功率。比较了FLC算法和PSO算法的性能,证实了FLC算法在快速、精确和简单等方面的最佳特性。
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