Abstract
A novel control strategy that is based on iterative calculation of structural parameters is proposed for grid-connected inverter in this paper. The proposed strategy has a good dynamic performance, which makes it particularly suitable for the application of PV grid-connected generation. First, a second-order discretization mathematical model of grid-connected inverter control is established in the dq frame. The corresponding relation between the control signal and the output current is deduced in formulas. Then, the values of structural parameters in the formulas can be obtained through iterative calculation, which can further reduce the amount of calculation. After several iteration cycles, the structural parameters are approximately equal to their actual values and the inverter can be controlled as an open-loop system with its dynamic performance optimized. At last, simulation and experiments are performed. The results show that the static performance of the proposed strategy is as good as that of the classical ones, but its dynamic performance is improved significantly.
Highlights
With the rapid developing of distributed photovoltaic generation, grid-connected inverters are widely used [1,2], and the control strategies of grid-connected inverters are very important in the renewable energy development
This paper presented a novel control strategy for grid-connected inverter based on iterative calculation of structural parameters
The proposed control strategy is operated in the dq frame, so that it can directly control the dq-axis components of the grid-connected current
Summary
With the rapid developing of distributed photovoltaic generation, grid-connected inverters are widely used [1,2], and the control strategies of grid-connected inverters are very important in the renewable energy development. In [6], the PR controller was optimized to be an adaptive one by using a conventional SRF phase-locked loop (PLL), so the dynamics performance of the grid-connected inverter was improved when the target output currents changed. [17] focused on active and reactive power control and [18] applied it on wind energy conversion systems They detailed the MPC process: The controller uses all the possible switching states (at least six different states) of the inverter for the prediction and evaluates them using a cost function. A novel control strategy for grid-connected inverter based on iterative calculation of structural parameters is proposed.
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