基于改进QPSO形态滤波器的电能质量暂态扰动检测

doi:10.11930/j.issn.1004-9649.2017.06.095.06

摘要/Abstract

摘要： 提出一种基于改进量子粒子群算法（QPSO）的形态滤波器,用于电能质量暂态扰动检测。首先对量子粒子群算法进行改进,利用混沌序列对粒子位置初始化以提高算法全局寻优能力,通过引入变异算子进一步避免算法过早收敛。然后将改进后的算法应用于形态学滤波器的结构元素的自适应优化中,结合结构元素的特点,寻找出属性最佳的结构元素从而提高滤波能力。结合仿真实验,研究了含有复杂多变噪声的环境下,发生电压骤升、电压骤降和电压中断暂态干扰现象时所构造改进滤波器的滤波性能。通过实验对比,证明所提方法具有快速、准确的特点,较传统的滤波方法有了很大的改善,提高了电能质量扰动检测的可靠性。

关键词: 数学形态学, 量子粒子群算法, 电能质量扰动, 结构元素, 滤波

Abstract: A morphological filter based on improved quantum particle swarm optimization (QPSO) algorithm is proposed for power quality transient disturbance detection. Firstly, the quantum particle swarm optimization algorithm is improved. Particle position is initialized by chaos sequence to improve global optimization ability, and the mutation operator is introduced to avoid premature convergence. Then, the improved algorithm is applied to adaptive optimization of structural elements of morphological filter, which is combined with characteristics of structural elements to find out the best structural elements of the attributes to improve the filtering ability. Through simulation experiment of containing complex and changeful environment noise, voltage swell, voltage sag, voltage interruption phenomenon of transient interference constructed and performance of the improved filter is researched. Compared with the experimental results, it is proved that proposed method is fast and accurate. Compared with traditional filtering method, it also improves reliability of power quality disturbance detection.

Key words: mathematical morphology, quantum particle swarm optimization, power quality disturbance, structural element, wave filtering

中图分类号:

TM732

盛四清, 王佳琦. 基于改进QPSO形态滤波器的电能质量暂态扰动检测[J]. 中国电力, 2017, 50(6): 95-100.

SHENG Siqing, WANG Jiaqi. Power Quality Transient Disturbance Detection Based on Improved QPSO Morphological Filter[J]. Electric Power, 2017, 50(6): 95-100.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.2017.06.095.06

https://www.electricpower.com.cn/CN/Y2017/V50/I6/95

参考文献

[1] 曹健,林涛,徐遐龄,等. 一种电能质量扰动监测与识别新方法[J]. 中国电机工程学报,2011,31（31）：125-133.
CAO Jian, LIN Tao, XU Xialing, et al . A New Method for measurement and classification of power quality disturbance[J]. Proceedings of the CSEE, 2011, 31(31): 125-133.
[2] 徐文远,雍静. 电力扰动数据分析学：电能质量监测数据的新应用[J]. 中国电机工程学报,2013,33（19）：93-101.
XU Wenyuan, YONG Jing. Power disturbance data analytics: new application of power quality monitoring data[J]. Proceedings of the CSEE, 2013, 33(19): 93-101.
[3] 张逸,林焱,吴丹岳. 电能质量监测系统研究现状及发展趋势 [J]. 电力系统保护与控制,2015,43（2）：138-144.
ZHANG Yi, LIN Yan, WU Danyue. Current status and development trend of power quality monitoring system[J]. Power System Protection and Control, 2015, 43(2): 138-144.
[4] HEIDARY K, CAULFIELD H J. Presmoothing effects in artificial color image segmentation[J]. Computer Vision and Image Understanding, 2013, 117(3): 195-201.
[5] 刘盼,王静,刘涤尘. 改进的自适应广义形态滤波器设计[J]. 电网技术,2009,33（2）：94-98.
LIU Pan, WANG Jing, LIU Dichen. Design of an improved adaptive generalized morphological filter[J]. Power System Technology, 2009(2), 33: 94-98.
[6] 赵昭,刘利林,张承学,等. 形态学滤波器结构元素选取原则研究与分析[J]. 电力系统保护与控制,2009,37（14）：21-25,35.
ZHAO Zhao, LIU Lilin, ZHANG Chengxue, et al . Research and analysis of morphological filter’s structure element selection principle [J]. Power System Protection and Control, 2009, 37(14): 21-25, 35.
[7] 张筱辰,高宏力,黄海凤,等. 基于量子遗传算法的数学形态滤波器优化设计[J]. 西南交通大学学报,2014,49（3）：462-469.
ZHANG Xiaochen, GAO Hongli, HUANG Haifeng, et al . Optimization design of mathematical morphology filter based on quantum genetic algorithm[J]. Journal of Southwest Jiaotong University, 2014, 49(3): 462-469.
[8] 张宏立,宋莉莉. 基于量子粒子群算法的混沌系统参数辨识[J]. 物理学报,2013,62（19）：106-111.
ZHANG Hongli, SONG Lili. Parameter identification in chaotic systems by means of quantum particle swarm optimization[J]. Acta Physica Sinica, 2013, 62(19): 106-111.
[9] 黄宇,韩璞,刘长良,等. 改进量子粒子群算法及其在系统辨识中的应用[J]. 中国电机工程学报,2011,31（20）：114-120.
HUANG Yu, HAN Pu, LIU Changliang, et al . An improved quantum particle swarm optimization and its application in system identification[J]. Proceedings of the CSEE, 2011, 31(20): 114-120.
[10] MARAGOS P, SCHAFER R W. Morphological filters-Part II: Their relation to median, order-statistic and stack filters[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987, 35(8): 1170-1184.
[11] LEI Yaguo, HE Zhengjia, ZI Yanyang, Application of the EEMD method to rotor fault diagnosis of rotating machinery[J]. Mechanical Systems and Signal Processing, 2009, 23(4): 1327-1338.
[12] ZHANG Zhisheng. Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system[J]. Expert Systems with Applications, 2010, 37(2): 1800-1803.
[13] 郭静波,汪韧. 基于混沌序列和RIPless理论的循环压缩测量矩阵的构造[J]. 物理学报,2014,63（19）：198402.
GUO Jingbo, WANG Ren. Construction of a circulant compressive measurement matrix based on chaotic sequence and RIPless theory[J]. Acta Physica Sinica, 2014, 63(19): 198402.

[1]	章枫, 樊恒建, 邓晖, 房乐, 周子青, 李知艺. 基于数学形态学的电力系统灵活调节能力充裕度分析[J]. 中国电力, 2025, 58(3): 43-54.
[2]	周啸, 阳岳希, 寇龙泽, 李云丰, 钱学威, 郝捷, 景卫哲. 模块化多电平柔性直流换流器高频振荡抑制策略与参数优化设计[J]. 中国电力, 2025, 58(1): 50-60.
[3]	夏天, 刘代飞, 岳家辉, 陈来恩, 李亦梁. 基于蜣螂算法优化卡尔曼滤波的锂离子电池模型参数辨识[J]. 中国电力, 2025, 58(1): 196-204.
[4]	倪筹帷, 陈杨, 张雪松, 林达, 杜凯健, 陈健. 考虑安全性风险的电热氢系统优化配置方法[J]. 中国电力, 2024, 57(9): 124-135.
[5]	雷霄, 许锐文, 郑宁敏, 李德才, 刘世成. 闽粤联网直流工程与SVG/HAPF协同运行特性及现场试验[J]. 中国电力, 2024, 57(4): 130-138.
[6]	张博智, 张茹, 焦东翔, 王龙宇, 周一凡, 周丽霞. 基于VMD-SAST的电能质量扰动分类识别方法[J]. 中国电力, 2024, 57(2): 34-40.
[7]	刘可, 杨放南, 王杨, 李剑武, 王昕, 闫涵, 王轩, 陈鹏飞. C型阻尼滤波器内在特性分析及最优应用场景[J]. 中国电力, 2023, 56(7): 125-135.
[8]	于艾清, 丁丽青, 王育飞, 李豪. 基于故障邻接状态的配电网多故障抢修与优化策略[J]. 中国电力, 2023, 56(3): 64-76.
[9]	田钧祥, 陈铁, 陈彬. 基于改进自适应UKF算法的中压配电网鲁棒动态状态估计方法[J]. 中国电力, 2023, 56(11): 128-133.
[10]	王帅, 李琳, 崔建业, 赵寿生, 张鹏宁, 王亚琦, 何强. 滤波电容器心子中介质薄膜表面残余电荷对其振动影响的分析[J]. 中国电力, 2022, 55(2): 98-107,151.
[11]	阴晓晴, 易皓, 杨泽斌, 卓放, 王蒙, 刘夏宇, 朱承治. 基于SAPF的电网多节点电压谐波优化补偿方法[J]. 中国电力, 2021, 54(8): 2-10.
[12]	阳登辉, 朱明星, 徐斌. 孤网失稳状态下频率和暂态谐波分析方法[J]. 中国电力, 2021, 54(8): 27-34.
[13]	尹康涌, 梁伟, 杨吉斌, 孙志明, 朱孟周, 肖鹏. 电力作业场景中一种高效的UWB和IMU融合定位算法[J]. 中国电力, 2021, 54(8): 83-90.
[14]	黄学民, 邓俊文, 邓京, 罗新, 韩永霞. 交流滤波器避雷器电气特性分析中不同仿真模型的影响[J]. 中国电力, 2021, 54(7): 141-148.
[15]	宫晓彤, 吕志鹏, 刘岚, 宋振浩, 周珊, 陈全. 一种基于有界不确定性和扰动估计器的大功率充电桩控制策略[J]. 中国电力, 2021, 54(10): 81-88.