Application of particle swarm optimization for maximum power point tracking of PV system with direct control method

K. Ishaque, Z. Salam, Amir Shamsudin
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引用次数: 21

Abstract

This paper presents the application of particle swarm optimization (PSO) for maximum power point tracking (MPPT) of Photovoltaic (PV) system using the direct control method. The main contribution of the proposed scheme is the elimination of PI control loop which normally exists to manipulate the duty cycle. It is shown that the proposed MPPT controller has a similar structure to the conventional hill climbing method. However, the former exhibits superior dynamic and steady state response. It is also discovered that the controller performs satisfactorily during partial shading conditions of the PV array. It is able to track the global peak (GP) within ten sampling intervals. Simulation results indicate that proposed controller outperforms the hill climbing method for all type of environmental conditions.
粒子群优化在直接控制法光伏系统最大功率点跟踪中的应用
提出了粒子群优化算法在直接控制光伏系统最大功率点跟踪中的应用。该方案的主要贡献是消除了通常存在的用于操纵占空比的PI控制回路。结果表明,所提出的MPPT控制器具有与传统爬坡方法相似的结构。然而,前者表现出更好的动态和稳态响应。在光伏阵列的部分遮阳条件下,该控制器的性能也令人满意。它能够在10个采样间隔内跟踪全局峰值(GP)。仿真结果表明,该控制器在各种环境条件下都优于爬坡方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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