Mathematical Morphology-Based Artificial Technique for Renewable Power Application

This paper suggests a combined novel control strategy for DFIG based wind power systems(WPS)under both nonlinear and unbalanced load conditions.The combined control approach is designed by coordinating the machine side converter(MSC)and the load side converter(LSC)control approaches.The proposed MSC control approach is designed by using a model predictive control(MPC)approach to generate appropriate real and reactive power.The MSC controller selects an appropriate rotor voltage vector by using a minimized optimization cost function for the converter operation.It shows its superiority by eliminating the requirement of transformation,switching table,and the PWM techniques.The proposed MSC reduces the cost,complexity,and computational burden of the WPS.On the other hand,the LSC control approach is designed by using a mathematical morphological technique(MMT)for appropriate DC component extraction.Due to the appropriate DC-component extraction,the WPS can compensate the harmonics during both steady and dynamic states.Further,the LSC controller also provides active power filter operation even under the shutdown of WPS condition.To verify the applicability of coordinated control operation,the WPS-based microgrid system is tested under various test conditions.The proposed WPS is designed by using a MATLAB/Simulink software.

基于模糊自适应形态滤波器和S变换的暂态电能质量扰动检测

提出一种基于模糊自适应形态学滤波器与S变换结合的暂态电能质量扰动检测方法。该方法根据数学形态学理论和模糊控制原理构造一种模糊自适应形态学滤波器,对扰动波形进行预处理,以滤除信号中的随机、脉冲等多种噪声,可较好地保留信号的基本特征,对于滤波后的信号波形,利用S变换幅值包络线对暂态电能质量扰动起止时间进行检测。最后通过对噪声背景下含电压骤升、电压中断和电压骤降电磁暂态现象的电压信号进行仿真验证,结果表明该方法具有计算简单、快速和准确的特性和优点。

微网中电能质量问题及其治理措施研究

微网技术具有诸多优点,但是微网中分布式电源的自身特性不平稳使微网及其运行控制困难,对微网的电能质量产生不利影响。在分析微网结构和特点的基础之上,通过与传统配电网电能质量问题的对比,对微网电能质量问题进行分析。对并联型有源滤波器(SAPF)模型进行改进,在检测环节用形态滤波器代替低通滤波器,并对形态滤波器的结构元素选择进行分析。在Matlab/Simulink软件平台上进行仿真分析,仿真结果证明改进的SAPF模型能满足微网对电能质量调节装置实时性的要求。

基于数学形态学消噪的电能质量扰动检测方法

提出了一种利用数学形态滤波对波形进行预处理 ,然后用小波检测电力系统扰动的方法。该算法着力解决电力系统扰动中滤除随机噪声和脉冲噪声的困难 ,利用数学形态学设计的前置滤波单元在有效抑制各种噪声的同时 ,较好地保持了扰动的基本形状 ;小波变换算子则有效地检测出扰动并进行精确定位。 MATLAB仿真表明所提算法可以准确检测电能扰动时的波形畸变点。同时 ,形态学—小波综合算法的计算量较单一的低通滤波器和多尺度小波变换的计算量小 ,有利于工程实现。