Electronic Science and Technology ›› 2021, Vol. 34 ›› Issue (7): 31-36.doi: 10.16180/j.cnki.issn1007-7820.2021.07.006
Previous Articles Next Articles
WANG Yumei1,LIU Jingyan1,LI Ziqiang2
Received:
2020-02-27
Online:
2021-07-15
Published:
2021-07-05
Supported by:
CLC Number:
WANG Yumei,LIU Jingyan,LI Ziqiang. Evaluation Method of Coal Mine Power Quality Based on Improved Entropy Weight Method[J].Electronic Science and Technology, 2021, 34(7): 31-36.
Table 1.
Entropy weight method to calculate weight"
序号 | 熵值 | 熵权分配 |
---|---|---|
1 | (0.999 6,0.999 7,0.999 8,0.999 9) | (0.400 0,0.300 0,0.200 0,0.100 0) |
2 | (0.996,0.997,0.998,0.999) | (0.400 0,0.300 0,0.200 0,0.100 0) |
3 | (0.96,0.97,0.98,0.99) | (0.400 0,0.300 0,0.200 0,0.100 0) |
4 | (0.6,0.7,0.8,0.9 ) | (0.400 0,0.300 0,0.200 0,0.100 0) |
Table 2.
Different entropy weight methods to calculate weight"
序号 | 分布情况 | 熵值 | 熵权 |
---|---|---|---|
1 | 熵值趋于1 | (0.999 6,0.999 7,0.999 8,0.999 9) | (a) (0.400,0.300,0.200,0.100) (b)(0.250 3,0.250 1,0.249 9,0.249 7) (c)(0.250 7,0.250 2,0.249 8,0.249 3) (d)(0.263 0,0.254 3,0.245 7,0.230 7) |
2 | 熵值均匀趋于1 | (0.9,0.8,0.7,0.6) | (a) (0.400,0.300,0.200,0.100) (b) (0.116 2,0.199 8,0.300 2,0.383 7) (c) (0.116 8,0.200 2,0.299 8,0.383 2) (d) (0.126 7, 0.203 2,0.295 4,0.374 6) |
3 | 熵值离散分布 | (0.96,0.67,0.31,0.10) | (a) (0.020 4,0.168 4,0.352 0,0.459 2) (b) (0.138 6,0.210 4,0.299 0,0.351 5) (c) (0.080 1,0.189 6,0.325 5,0.404 8) (d) (0.020 4,0.168 4,0.352 0,0.459 2) |
4 | 熵值相差较大 | (0.999,0.998,0.899,0.100) | (a) (0.001 0,0.002 0,0.100 6,0.896 4) (b)(0.200 0,0.200 2,0.220 0,0.379 9) (c) (0.140 7,0.141 1,0.184 4,0.533 8) (d) (0.001 0,0.002 0,0.100 6,0.896 4) |
5 | 熵值偏小 | (0.42,0.30,0.20,0.10) | (a) (0.194 6,0.234 9,0.265 8,0.302 0) (b) (0.195 4,0.235 1,0.268 2,0.301 3) (c) (0.198 2,0.235 9,0.267 3,0.298 6) (d) (0.194 6,0.234 9,0.265 8,0.302 0) |
Table 4.
Time data statistics at all levels of power quality indicators"
指标 | 各等级时间/s | ||||
---|---|---|---|---|---|
1级 | 2级 | 3级 | 4级 | 5级 | |
电压暂降 | 1.868 0 | 0.659 2 | 1.210 0 | 0.000 0 | 2.404 0 |
电压偏差 | 0 | 70 | 7 440 | 850.0 | 0 |
电压波动 | 3 836.2 | 5 969.2 | 1 973.2 | 397.9 | 0.0 |
电压闪变 | 0.0 | 4 299 0 | 3 697.5 | 1 800.2 | 1 833.6 |
频率偏差 | 3 998 | 3 012 | 238 | 0 | 0 |
三相不平衡 | 0 | 0 | 0 | 2 348 | 4 760 |
谐波 | 0 | 1 562 | 5 684 | 0 | 0 |
[1] | 刘俊华, 罗隆福, 张志文, 等. 一种考虑排序稳定分析的电能质量综合评估新方法[J]. 中国电机工程学报, 2013,33(1):70-76. |
Liu Junhua, Luo Longfu, Zhang Zhiwen, et al. A new method for power quality comprehensive evaluation considering sequential stability analysis[J]. Chinese Journal of Electrical Engineering, 2013,33(1):70-76. | |
[2] | 马嘉秀, 徐玮浓, 何复兴, 等. 基于WT和SVM的电能质量分类识别方法[J]. 智慧电力, 2019,47(3):16-22,37. |
Ma Jiaxiu, Xu Weinong, He Fuxing, et al. Power quality classification and recognition method based on WT and SVM[J]. Smart Power, 2019,47(3):16-22,37. | |
[3] | 郭松梅. 煤矿电能质量综合治理研究[J]. 工矿自动化, 2016,42(9):60-64. |
Guo Songmei. Study on comprehensive control of coal mine power quality[J]. Industrial and Mine Automation, 2016,42(9):60-64. | |
[4] | 沈阳武, 彭晓涛, 施通勤, 等. 基于最优组合权重的电能质量灰色综合评价方法[J]. 电力系统自动化, 2012,36(10):67-73. |
Shen Yangwu, Peng Xiaotao, Shi Tongqin, et al. Grey comprehensive evaluation method of power quality based on optimal combination weight[J]. Power System Automation, 2012,36(10):67-73. | |
[5] | 王红星, 王俊, 官国飞, 等. 分布式电源消纳电能质量影响及其权重分析[J]. 电力电容器与无功补偿, 2019,40(3):177-181. |
Wang Hongxing, Wang Jun, Guan Guofei, et al. Distributed power generation to absorb power quality impact and its weight analysis[J]. Power Capacitors and Reactive Power Compensation, 2019,40(3):177-181. | |
[6] | 陈伟, 何家欢, 裴喜平. 基于相空间重构和卷积神经网络的电能质量扰动分类[J]. 电力系统保护与控制, 2018,46(14):87-93. |
Chen Wei, He Jiahuan, Pei Xiping. Power quality disturbance classification based on phase space reconstruction and convolution neural network[J]. Power System Protection and Control, 2018,46(14):87-93. | |
[7] | 黄南天, 王达, 刘座铭, 等. 复杂噪声环境下电能质量复合扰动特征选择[J]. 仪器仪表学报, 2018,39(4):82-90. |
Huang Nantian, Wang Da, Liu Zuoming, et al. Selection of power quality composite disturbance characteristics under complex noise environment[J]. Journal of Instruments and Instruments, 2018,39(4):82-90. | |
[8] | 王燕, 李群湛, 周福林. 一种暂态电能质量扰动检测的新方法[J]. 中国电机工程学报, 2017,37(24):7121-7132,7426. |
Wang Yan, Li Qunzhan, Zhou Fulin. A new method for transient power quality disturbance detection[J]. Chinese Journal of Electrical Engineering, 2017,37(24):7121-7132,7426. | |
[9] | 姚钢, 纪飞鹏, 殷志柱, 等. 直流配电电能质量研究综述[J]. 电力系统保护与控制, 2017,45(16):163-170. |
Yao Gang, Ji Feipeng, Yin Zhizhu, et al. Review of power quality of DC distribution[J]. Power System Protection and Control, 2017,45(16):163-170. | |
[10] | 周林, 栗秋华, 刘华勇, 等. 用模糊神经网络模型评估电能质量[J]. 高电压技术, 2007(9):66-69. |
Zhou Lin, Li Qiuhua, Liu Huayong, et al. Evaluation of power quality using fuzzy neural network model[J]. High Voltage Technology, 2007(9):66-69. | |
[11] | 李连结, 姚建刚, 龙立波, 等. 组合赋权法在电能质量模糊综合评价中的应用[J]. 电力系统自动化, 2007(4):56-60. |
Li Lianjie, Yao Jiangang, Long Libo, et al. Application of combined weighting method in fuzzy comprehensive evaluation of power quality[J]. Power System Automation, 2007(4):56-60. | |
[12] | 江辉, 彭建春, 欧亚平, 等. 基于概率统计和矢量代数的电能质量归一量化与评价[J]. 湖南大学学报(自然科学版), 2003(1):66-70. |
Jiang Hui, Peng Jianchun, Ou Yaping, et al. Power quality normalization and evaluation based on probability statistics and vector algebra[J]. Journal of Hunan University (Natural Science Edition), 2003(1):66-70. | |
[13] | 熊林云, 王杰. 永磁同步电机电能质量分数阶滑模控制[J]. 中国电机工程学报, 2019,39(10):3065-3075. |
Xiong Linyun, Wang Jie. Permanent magnet synchronous motor power quality fractional sliding mode control[J]. Chinese Journal of Electrical Engineering, 2019,39(10):3065-3075. | |
[14] | 李杰. 基于合作博弈和改进TOPSIS的电能质量评估方法研究[J]. 电力系统保护与控制, 2018,46(20):109-115. |
Li Jie. Research on power quality evaluation method based on cooperative game and improved TOPSIS[J]. Power System Protection and Control, 2018,46(20):109-115. | |
[15] | 刘子文, 苗世洪, 范志华, 等. 统一电能质量调节器最优输出跟踪控制策略[J]. 高电压技术, 2018,44(7):2385-2392. |
Liu Ziwen, Miao Shihong, Fan Zhihua, et al. Unified optimal output tracking control strategy for power quality regulator[J]. High Voltage Technology, 2018,44(7):2385-2392. | |
[16] | 王帅, 荆龙, 吴学智, 等. 统一电能质量调节器在新能源发电场的虚拟同步特性分析[J]. 电网技术, 2000,44(1):159-167. |
Wang Shuai, Jing Long, Wu Xuezhi, et al. Research on virtual synchronization characteristics of unified power quality conditioner in renewable energy fams[J]. Power System Technology, 2000,44(1):159-167. | |
[17] | 陶顺, 罗超, 肖湘宁, 等. 电流物理分量理论改进方法及其在电能质量评估中的应用[J]. 电工技术学报, 2019,34(9):1960-1970. |
Tao Shun, Luo Chao, Xiao Xiangning, et al. Improvement of current physical component theory and its application in power quality assessment[J]. Journal of Electrical Technology, 2019,34(9):1960-1970. |
[1] | LI Hui,WANG Yicheng. CNNCIFG-Attention Model for Text Sentiment Classifcation [J]. Electronic Science and Technology, 2022, 35(2): 46-51. |
[2] | CHU Ping,NI Wei. Design of FPGA-Based SqueezeNet Inference Accelerator [J]. Electronic Science and Technology, 2022, 35(2): 20-26. |
[3] | ZHOU Jia,WANG Ran. Weighted Maximum Network Lifetime Algorithm in Target Coverage [J]. Electronic Science and Technology, 2021, 34(7): 37-42. |
[4] | LIU Tingting,ZHANG Yujin,XIONG Shiting. Dual-Exposure Fusion Algorithm for Low-Light Image Enhancement [J]. Electronic Science and Technology, 2021, 34(6): 34-39. |
[5] | ZHU Bin,LIU Zilong. Image Classification Method Using Convolutional Neural Network Based on New Initial Module [J]. Electronic Science and Technology, 2021, 34(2): 52-56. |
[6] | REN Lei,FU Ziyi,LEI Haixun. Improved Current Prediction Deadbeat Control Method for Active Power Filter [J]. Electronic Science and Technology, 2021, 34(11): 67-74. |
[7] | DONG Bo,ZHOU Yan,WANG Yongxiong. Saliency Detection by Progressive Structural Receptive Field and Global Attention [J]. Electronic Science and Technology, 2021, 34(1): 23-30. |
[8] | YE Fei, LIU Zilong. Pedestrian Detection Based on Improved YOLOv3 Algorithm [J]. Electronic Science and Technology, 2021, 34(1): 5-9. |
[9] | LI Fupeng,FU Dongxiang. Sentiment Analysis Method of Financial Text Based on Transformer Encoder [J]. Electronic Science and Technology, 2020, 33(9): 10-15. |
[10] | WANG Zexue,WAN Qidong,QIN Yangmei,FAN Senqing,XIAO Zeyi. Dangerous Vehicle Early Warning Algorithms Based on Multi-Agent Enhancement Learning [J]. Electronic Science and Technology, 2020, 33(9): 44-49. |
[11] | ZHANG Xiang,SHI Zhicai,CHEN Liang. Expression Recognition Method Based on Cascade Network Optimized by SWA [J]. Electronic Science and Technology, 2020, 33(9): 16-20. |
[12] | ZHU Yifeng. Indoor Positioning Algorithm Based on WiFi-BP [J]. Electronic Science and Technology, 2020, 33(8): 74-79. |
[13] | JU Zhiyong,ZHANG Wenxin,ZHAI Chunyu. Garbage Image Edge Detection Based on Improved Canny Algorithm [J]. Electronic Science and Technology, 2020, 33(8): 16-20. |
[14] | FU Xinhe,YUAN Yongxu. Graphic Data Analysis Technology Based on Grey Prediction Algorithm [J]. Electronic Science and Technology, 2020, 33(7): 67-70. |
[15] | LUO Le,WANG Chunhua,ZHANG Duoli,SONG Yukun. A Multicore System Improved List Scheduling Algorithm [J]. Electronic Science and Technology, 2020, 33(6): 52-57. |