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

机译:粒子群优化在具有直接控制方法的PV系统最大功率点跟踪中的应用

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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.
机译:本文介绍了使用直接控制方法对光伏(PV)系统的最大功率点跟踪(MPPT)的粒子群优化(PSO)的应用。拟议方案的主要贡献是消除了通常存在以操纵占空比的PI控制回路。结果表明,所提出的MPPT控制器具有与传统山攀爬方法类似的结构。然而,前者展示了卓越的动态和稳态的响应。还发现,控制器在PV阵列的部分着色条件期间令人满意地执行。它能够在十个采样间隔内跟踪全局峰值(GP)。仿真结果表明,建议的控制器优于所有类型环境条件的山坡攀爬方法。

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