含分布式电源的配电网电能质量扰动源定位研究  

Research on power quality disturbance source location of a distribution network with distributed power supply

作　　者：李长庆 魏云冰 郭元战 陈良 袁全宁 LI Changqing;WEI Yunbing;GUO Yuanzhan;CHEN Liang;YUAN Quanning(Shanghai University of Engineering and Technology,Shanghai 201620,China;Shanghai Puhai Qiushi Power New Technology CO.,LTD.,Shanghai 200093,China)

机构地区：[1]上海工程技术大学,上海201620 [2]上海浦海求实电力新技术有限公司,上海200093

出　　处：《电力系统保护与控制》2020年第9期104-111,共8页Power System Protection and Control

基　　金：国家自然科学基金项目资助(51507157)。

摘　　要：针对含分布式电源的配电网产生的电压骤降、短路、高斯噪声以及电源产生的谐波输出等一系列问题,提出了一种精确判断扰动源位置的方法,旨在提高电能质量水平。根据分布式发电机配电网的拓扑结构和电能质量监测信息,利用离散小波Mallat变换提取高频扰动的分量,根据高频扰动能量的正负对扰动的方向进行判断。同时采用遗传算法,利用高频扰动能量来设置扰动权重因子,突出强信号在定位过程中的作用,从而对扰动源进行精准定位。仿真结果表明,此方法准确性比较高且容错性较好,对电能质量监测仪的安装位置和个数方面,也具有指导意义。Considering a series of problems such as voltage dip, short circuit, Gaussian noise, and harmonic output from power supplies generated by distribution networks with distributed power supplies, a method for accurately determining the position of the disturbance source is proposed to improve the power quality level. Given the topology structure and power quality monitoring information of the distributed generator distribution network, the discrete wavelet Mallat transform is used to extract the components of the high-frequency disturbance. The direction of the disturbance is judged according to the positive and negative of the high-frequency disturbance energy. At the same time, a genetic algorithm is used to set the disturbance weighting factor by using the high-frequency disturbance energy. This highlights the role of the strong signal in the positioning process, so as to accurately locate the disturbance source. The simulation results show that the method has high accuracy and good fault tolerance, and it also has guiding significance for the installation position and number of power quality monitors.

关 键 词：分布式电源 扰动源定位 Mallat变换 遗传算法 容错性 

分 类 号：TM72[电气工程—电力系统及自动化] TM711