Abstract

The method of choosing the optimal values of the capacitance of a capacitor of an active filter (AF) and the use of two different control methods of an AF to compensate for harmonics and reactive power in conditions that are abruptly variable, distorting the shape of the curve of the load current. The method of particle swarm optimization (PSO) and fuzzy logic are considered as methods of AF control. Both methods are built into the adaptive proportional–integral (PI) controller. PSO optimization is also used to select the optimal capacitance value of the AF capacitor. The operation of the PI controller is determined by the gain of the proportional and integrating component. The results of application of the PSO method and the fuzzy logic method for determining these coefficients in the PI controller are presented. The methods proposed for the management of an AF tried to compensate for currents of higher harmonics in conditions of abruptly variable, distorting the shape of the curve of the load current in the distribution network 66/20/0.4 kV industrial load. The advantages and disadvantages of each control method are shown, and, based on these results, a hybrid parallel controller (PSO–PI and PI fuzzy logic) is proposed that combines the advantages of both methods.

中文翻译：

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有源滤波电容器的电容选择及其控制器的控制方法

摘要

选择有源滤波器（AF）的电容器的最佳电容值的方法，以及使用AF的两种不同控制方法来补偿突然变化的条件下的谐波和无功功率，从而使滤波器的形状失真负载电流的曲线。粒子群优化（PSO）和模糊逻辑的方法被认为是自动对焦控制的方法。两种方法都内置于自适应比例积分（PI）控制器中。PSO优化还用于选择AF电容器的最佳电容值。PI控制器的操作由比例和积分组件的增益确定。给出了PSO方法和模糊逻辑方法在PI控制器中确定这些系数的应用结果。提出的用于管理AF的方法试图在突变的条件下补偿高次谐波的电流，从而使配电网络66/20 / 0.4 kV工业负载中的负载电流曲线的形状失真。展示了每种控制方法的优缺点，并基于这些结果，提出了一种混合并行控制器（PSO-PI和PI模糊逻辑），其结合了两种方法的优点。