光伏并网逆变系统的优化策略-控制科学与工程专业论文.docxVIP

光伏并网逆变系统的优化策略-控制科学与工程专业论文.docx

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光伏并网逆变系统的优化策略 光伏并网逆变系统的优化策略 THE OPTIMIZATION STRATEGY FOR PV GRID-INVERTER POWER SYSTEM ABSTRACT Many governments take more and more attention on the solar energy generating systems, because of its sustainability and clearing. The grid-connected photovoltaic generating has the most significant value in both theory and practice. Recently, three-phase Grid-connected Photovoltaic System has become the cutting-edge of this field. With the background, this paper takes much effort in the three-phase Grid-connected Photovoltaic System hardware design, control algorithm research, simulation and experiments. Firstly, this paper makes a sufficient study in the solar energy applications and achievements in recent years, and then designs a 3kW three-phase Grid-connected Photovoltaic System. The paper carries out the details in the hardware topology, the DSP control board design, the main power items calculation. According to the design project, the paper establishes an experiment platform including the main power circuit, the inductor group for filtering, the DSP control board and data sampling circuit. Now the built experiment platform provides a flexible and reliable foundation to realize the control algorithms. Developing a high performance control strategy is a significant point in three-phase PWM inverter, which is an important part of the grid-connected photovoltaic generating. On the basis of analyzing the modeling of grid-connected inverter for wind power generation system, this paper proposes a novel vector control strategy, which consists of two dual-loop model, i.e. inner voltage loop and outer current loop. The PWM modulation signal of inverter can be effectively compensated by detecting real-time grid-connected current and gird voltage, compensating validly the voltage crossed the grid-connected inductance. The vector control strategy proposed can not only improve the quality of grid-connected current. but also maintain an excellent robust at the change of system K

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