Distribution Network Sensor Selection Based on Improved Membership Function

被引：0
|
作者：
Li, Erxia [1 ]
Li, Yuling [1 ]
Mao, Naiqiang [2 ]
Wu, Zhen [2 ]
Ma, Guoming [2 ]
机构：
[1] China Elect Power Res Inst, Beijing, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON ENERGY SCIENCE AND CHEMICAL ENGINEERING (ISESCE 2015) | 2016年 / 45卷
关键词：
on-line monitoring; sensors; comprehensive evaluation; membership function;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The condition monitoring of distribution equipment is significant for safety and reliability of distribution network cooperation. In order to monitor the operating state of distribution equipment, first, we should learn about the function and characters of the different distribution and ensure the acquisition method to obtain the key characteristic quantity of distribution equipment. Then, we establish the system of comprehensive evaluation for the monitoring sensors application distribution equipment. Through the comprehensive evaluation of sensors, we can complete sensors selection and configuration and thus reduce the cost of monitoring system. To solve the ambiguity of sensors selection criteria, the author present two different comprehensive evaluation methods, one is aimed at applied object, other one is based on improved membership function.
引用
收藏
页码：236 / 242
页数：7
相关论文
共 50 条
  • [1] Selection of Fuzzy Membership Function Based on Probabilistic Confidence
    Bera, Subrata
    Gaikwad, A. J.
    Datta, D.
    2014 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, ENERGY & COMMUNICATION (CIEC), 2014, : 612 - 615
  • [2] An improved classifier based on BP and Fuzzy membership function
    Zhang, Guoying
    Yun, Sha
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 5652 - 5655
  • [3] An improved localization algorithm for wireless sensor network based on the selection of benchmark anchor node
    Chen, X. (chui@ctgu.edu.cn), 1600, Academy Publisher (07):
  • [4] Fault Line Selection and Location of Distribution Network Based on Improved Random Forest Method
    Ru, Jiaxin
    Luo, Guomin
    Shang, Boyang
    Luo, Simin
    Liu, Wenlin
    Wang, Shaoliang
    2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES, 2022, : 1179 - 1184
  • [5] An Improved Policy for Network Selection Decision Based on Enhanced-TOPSIS and Utility function
    Lahby, Mohamed
    Attioui, Abdelbaki
    Sekkaki, Abderrahim
    2017 13TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2017, : 2175 - 2180
  • [6] An Improved Amorphous Algorithm in Wireless Sensor Network Based On Approximate Equilateral Triangle Beacon Selection
    Shen, Shikai
    Qian, Kaiguo
    Yang, Bin
    She, Yumei
    Wang, Wu
    Wang, Yujian
    2017 INTERNATIONAL CONFERENCE ON NETWORKING AND NETWORK APPLICATIONS (NANA), 2017, : 54 - 60
  • [7] Cooperative Technique Based on Sensor Selection in Wireless Sensor Network
    Islam, Mohammad R.
    Kim, Jinsang
    ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2009, 9 (01) : 56 - 62
  • [8] Skewness and Kurtosis in Function of Selection of Network Traffic Distribution
    Cisar, Petar
    Cisar, Sanja Maravic
    ACTA POLYTECHNICA HUNGARICA, 2010, 7 (02) : 95 - 106
  • [9] Fuzzy comprehensive evaluation of power quality based on improved membership function
    Jiang, J.-L. (jljiang@scut.edu.cn), 2012, South China University of Technology (40):
  • [10] On the use of selection function in cooperative MISO at wireless sensor network
    Islam, Mohammad Rakibul
    Kim, Jinsang
    ISSNIP 2008: PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS, AND INFORMATION PROCESSING, 2008, : 139 - 144
12345