Study on the Power Conditioner of Photovoltaic Systems

• Main Authors: Ching-Ju Li, 李靜如
• Other Authors: Kuei-Hsiang Chao
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/50325586655055862405

碩士 === 國立勤益科技大學 === 電機工程系 === 97 === The purpose of this thesis is to study the power conditioner of a grid connected photovoltaic (PV) system. The studies include a novel maximum power point tracking (MPPT) technique and a power conditioner of islanding phenomenon detection. First, the simulation environment for grid connected PV system is built by using PSIM software package. And the 516W and 3kW PV systems with Kyocera KC40T and Siemens SP75 solar modules are used as examples to finish the simulation of the proposed MPPT and islanding detection methods. The proposed intelligent MPPT algorithm based on the matter-element model and the extended correlation function makes full utilization of PV array output power which depends on solar insolation and ambient temperature. The proposed intelligent MPPT algorithm based on extension theory can automatically adjust the step size to track the PV array maximum power point (MPP) and is able to effectively improve the dynamic response and steady state performance of the PV systems simultaneously. The proposed of islanding phenomenon detection technologies is based on an extension neural network (ENN) for PV system. It combines the extended correlation function of extension theory with learning, recalling, generalize and parallel computing of neural network (NN). Therefore, the proposed technology can correctly differentiate the islanding operation of a PV system and then to disconnect the load from inverter, even the power quality problems exist. Finally, some simulation results are made to demonstrate the validities of the proposed extension MPPT method and the extension neural network based islanding detection method for a power conditioner of PV systems.