基于粒子群算法的光伏仿真

R. Ayop, Chee Wei Tan, Mohd. Zaki Daud, S. Ayob, Awang Bin Jusoh, M. Sahid
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引用次数: 0

摘要

光伏(PV)模拟器(PVE)是一种专用电源,它产生与光伏模块相同的输出。然而,用于PVE的传统控制策略直接参考法(DRM)存在振荡问题。这个问题是由于DRM依赖于计算操作点的外部组件造成的。如果在内部计算工作点,就可以克服这个问题。提出了一种利用粒子群优化(PSO)内部计算工作点的控制策略。采用电阻比较法将PSO实现到PVE中。将所提出的PVE与采用DRM控制策略的传统PVE进行了比较。两个pve使用相似的降压转换器、比例积分控制器和单二极管模型进行公平的比较。结果表明,与传统的PVE相比,该PVE具有较低的振荡和较高的精度。
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Photovoltaic Emulator using Particle Swarm Optimization
The photovoltaic (PV) emulator (PVE) is a specialized power supply that generates the same output as the PV module. However, the conventional control strategy called the direct referencing method (DRM) used for the PVE has oscillation problem. The problem is caused by the dependency of the DRM on the external components to compute the operating point. This problem can be overcome if the operating point is computed internally. This paper proposed a control strategy that compute the operating point internally using the particle swarm optimization (PSO). The resistance comparison method is chosen to implement the PSO into the PVE. The proposed PVE is compared with the conventional PVE that uses the DRM control strategy. Both PVEs use the similar buck converter, proportional-integral controller, and single diode model for a fair comparison. The result shows that the proposed PVE has no lower oscillation and higher accuracy when compared to the conventional PVE.
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