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Optimized PI constant for current controller of grid connected inverter with LCL filter using Genetic Algorithm

机译:基于遗传算法的带LCL滤波器的并网逆变器电流控制器优化PI常数

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This paper presents optimized PI constant for current controller of grid connected inverter with LCL filter. The controller consists of PI controller applied in Synchronous References Frame to control inverter current. To analyze the controller, the system should be modeled. Unfortunately the system is too complex. Therefore, to simplify the system, it is converted into a balanced single-phase model. Furthermore, the complexity of system increased the difficulties of PI constants tuning. To tune the PI constants, controller loop is formulated as an objective function with constraints of transient responses and steady state error. GA (Genetic Algorithm) will optimize simultaneously to obtain optimal values for the constants of PI controller. The GA algorithm is simulated under MATLAB. Then, the optimized PI constants are verified in circuit of PSIM Simulator. Simulation results confirm the method could determine PI constants for the best response.
机译:本文提出了具有LCL滤波器的并网逆变器电流控制器的优化PI常数。该控制器由应用于同步参考框架中的PI控制器组成,用于控制逆变器电流。为了分析控制器,应该对系统进行建模。不幸的是,系统太复杂了。因此,为简化系统,将其转换为平衡的单相模型。此外,系统的复杂性增加了PI常数调整的难度。为了调节PI常数,将控制器回路公式化为具有瞬态响应和稳态误差约束的目标函数。 GA(遗传算法)将同时进行优化以获得PI控制器常数的最佳值。 GA算法是在MATLAB下模拟的。然后,在PSIM Simulator的电路中验证优化的PI常数。仿真结果证实该方法可以确定PI常数以获得最佳响应。

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