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Implementation of Kernel Incremental Metalearning Algorithm in Distribution Static Compensator

机译:配电静态补偿器中核增量金属学习算法的实现。

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This paper presents implementation of distribution static compensator (DSTATCOM) using kernel incremental metalearning algorithm (KIMEL) control algorithm. It demonstrates the functions of DSTATCOM such as reactive power compensation, harmonics elimination, and load balancing under linear and nonlinear loads with its self-supporting dc-bus voltage. The proposed control algorithm based on KIMEL is applied for extraction of fundamental active and reactive power components of load currents that are required for estimation of reference supply currents. These reference supply currents are used for gating pulses generation using indirect current control principle. A DSTATCOM with features of self-supporting dc bus (capacitor) is developed using DSP (dSPACE-1104), and the response of proposed control algorithm is studied under various operating conditions and found satisfactory.
机译:本文提出了使用核增量金属学习算法(KIMEL)控制算法实现配电静态补偿器(DSTATCOM)的方法。它演示了DSTATCOM的功能,包括无功功率补偿,谐波消除以及线性和非线性负载下的负载平衡,以及其自支持的直流总线电压。所提出的基于KIMEL的控制算法被应用于提取负载电流的基本有功和无功功率分量,这是估计参考电源电流所需的。这些参考电源电流用于使用间接电流控制原理生成门控脉冲。利用DSP(dSPACE-1104)开发了具有自支撑直流总线(电容器)特性的DSTATCOM,并在各种工作条件下研究了所提出的控制算法的响应,并得出令人满意的结果。

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