自适应辛几何模态分解和短时能量差分因子在电能质量扰动检测中的应用  

Application of Adaptive Symplectic Geometry Modal Decomposition and Short-Time Energy Difference Factor in Power Quality Disturbance Detection

作　　者：李云峰[1] 高云鹏[1] 蔡星月 朱彦卿[1] 吴聪 Li Yunfeng;Gao Yunpeng;Cai Xingyue;Zhu Yanqing;Wu Cong(College of Electrical and Information Engineering Hunan University,Changsha 410082,China)

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《电工技术学报》2022年第17期4390-4400,共11页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金(51777061);国家重点研发计划(2021YFF0602402)资助项目。

摘　　要：针对电网中电能质量扰动信号在强噪声环境下扰动时刻难以准确检测问题,该文提出一种基于自适应辛几何模态分解(SGMD)和短时能量差分因子的电能质量扰动检测算法。基于自适应SGMD改进传统SGMD的滤波重构环节,准确重构电能质量扰动信号,计算重构信号的短时能量,推导基于短时能量的无参自适应阈值算式,构建短时能量差分因子,据此开发基于虚拟仪器的电能质量扰动检测平台,以实现电能质量扰动准确实时检测。仿真和实测结果表明,该文提出的算法在噪声环境下对单一扰动、复合扰动与过零扰动,均能有效地检测扰动起止时刻,且能有效地克服扰动幅值波动对检测结果的影响,相较于现有检测算法,其测量结果更加快速准确。To solve the problem that the power quality disturbance signal in power grid is difficult to detect accurately in the strong noise environment,an algorithm for power quality disturbance detection based on adaptive symplectic geometric mode decomposition and short-time energy difference factor is proposed in this paper.Firstly,the filter reconstruction of traditional symplectic geometric mode decomposition is improved based on adaptive symplectic geometric mode decomposition to reconstruct power quality disturbance signals accurately.Then,the short-term energy of the reconstructed signal is calculated to derive the parameter free adaptive threshold calculation formula based on short-time energy and construct the short-term energy differential factor.Based on this,a power quality disturbance detection platform based on virtual instrument is developed to detect the power quality disturbance accurately in real life.The simulation and the experimental results show that the proposed algorithm can detect the disturbance start and end time effectively for single disturbance,complex disturbance and zero crossing disturbance under noise environment,and can effectively overcome the influence of disturbance amplitude fluctuation on the detection results.Compared with the existing detection algorithm,the measurement results are more rapid and accurate.

关 键 词：电能质量扰动 辛几何模态分解 短时能量 自适应阈值 抗噪性 

分 类 号：TM935.2[电气工程—电力电子与电力传动]