Design and Implementation of MPPT Controller for Photovoltaic Power Generation with Grey Wolf Optimizer

• Main Authors: HU, SHIH-YING, 胡世穎
• Other Authors: PAI, FU-SHENG
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/42963042724151183949

碩士 === 國立臺南大學 === 電機工程學系碩博士班 === 105 === In recent years, increasing numbers of photovoltaic (PV) generation system have entered the market. However with the current engineering technology, including solar panels, shading, circuit issues, it still causes a lot of energy losses in the generation process, resulting in direct economic benefits of the overall system that cannot competed with the traditional system. Thus, in this thesis, it is aimed to develop a novel circuit method to improve the efficiency of the photovoltaic generation operation. Resulting from its intrinsic characteristics, power generated by the solar panel leans on the operational condition at any given time, and the maximum power can be extracted from it varies accordingly. In fact, many maximum power point tracking methods exist in the literature. But those methods are reported not providing a faster tracking speed and accuracy under various environmental conditions. Therefore in this thesis, a new method based on the grey wolf optimization is proposed. This method utilizes the previous working duty cycles and their corresponding voltage and current data to define the instantaneous impedance value of solar cells. Then, by a progressive renewal of the iteration of grey wolf optimizer algorithm, the optimal MPP of solar panel can be found faster than the traditional. In order to assess the performance of this proposed method, it has been tested on the simple realization of system circuit. The preliminary results help consolidate the feasibility and practicability of the approach for the applications considered.