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作 者:吴斌 杨旭红 WU Bin;YANG Xuhong(Automation Engineering of Shanghai University of Electric Power,Shanghai 200090,China)
机构地区:[1]上海电力大学自动化工程学院,上海200090
出 处:《电力科学与技术学报》2021年第6期151-156,共6页Journal of Electric Power Science And Technology
基 金:国家自然科学基金(61203224);上海自然科学基金(13ZR1417800);上海市重点科技攻关计划(14110500700)。
摘 要:比例积分(PI)控制技术可以快速跟踪并网电流,但由于逆变器包含电力电子开关器件,因而导致谐波电流含量高。此外,PI参数在调节过程中难以达到最优,更加剧了并网电流的畸变。为了得到更好的性能,一种改进的遗传算法被用来优化PI控制的参数。这种算法通过计算并网电流和给定电流的误差,构建电流适应度函数,迭代得到最优PI参数,从而降低并网电流畸变率。结合重复控制技术,构建特定频率陷波器和二阶低通滤波器,提高稳态性能。通过MATLAB/Simulink仿真平台,建立LC型滤波的逆变器并网模型,仿真分析并比较PI、PI结合重复、改进遗传PI结合重复3种控制策略的结果,验证所提控制策略的有效性。PI control can rapidly track the grid-connected current,however,the harmonic components of current are high due to the power electronic device of the inverter.In addition,PI parameters are difficult to adjust in practical application,and it is difficult to achieve optimization in the regulation process,which exacerbates the distortion of grid connected current.To achieve the best possible performance,an improved genetic algorithm is considered to optimize parameters of PI control.By calculating the error of practical current with setting current,this algorithm builds the current fitness function.The optimal PI parameters are obtained by iterating remarkably and the distortion rate is reduced.The combination of repetitive control technique significantly improves the steady performance by building the specific frequency notch filter and second order low pass filter.Through Matlab/Simulink,a model of grid-connected inverter with LC filter is built and the performances of the three control strategies of PI control,PI repetitive control and improved genetic PI repetitive control are compared to verify the effectiveness of proposed control strategy.
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