基于MPC的三相離網(wǎng)逆變器控制方法的研究
[Abstract]:Nowadays, solar energy has become a new energy in the world. The most important application and research hotspot of solar energy is photovoltaic power generation. Photovoltaic inverter is an important part of photovoltaic power generation, which has great influence on the performance and cost of the system. Therefore, it is of great significance to study the control method of inverter for the stable operation of photovoltaic power system. In this paper, the control strategy of three-phase off-grid inverter is studied by the combination of model prediction and PI. The main work of this paper is as follows: 1. The common control methods of three-phase off-grid inverter are introduced. It includes PIID control, repetitive control, deadbeat control, fuzzy control, sliding mode variable structure control and so on. The (model predictive control, MPC) algorithm of model predictive control is mainly studied, and the development course of model predictive control is introduced. The basic principles and characteristics of the model predictive control are analyzed. 2. The topology and control methods of the three-phase off-grid inverter are studied. The main circuit model and mathematical model of the system are obtained. 3. Combining the advantages and disadvantages of model predictive control and PI control, the model predictive PI control method is adopted, which combines model predictive control with PI control, and the PI parameters can be adjusted online by this method. It has good performance of model predictive control, improves the control effect, and maintains the compatibility with other control strategies. The combination of the two improves the stability of the system. 4. The content of theoretical analysis is simulated by Matlab/Simulink software. The experiment device of three-phase off-grid inverter is built, the realization process of hardware and software is introduced, the model prediction PI algorithm is realized, and the comparison results with traditional PI control are given. Simulation and experiment verify the effectiveness of the model predictive PI control algorithm.
【學(xué)位授予單位】:安徽大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TM464
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