Risk assessment model of smart distribution grid

被引：0
|
作者：
Gao H. [1 ]
Sun Y. [1 ]
Li K. [1 ]
Liang Y. [2 ]
机构：
[1] School of Electrical Engineering, Shandong University, Ji'nan
[2] Department of Electrical Engineering, Institute of Information and Control Engineering, China University of Petroleum(East China), Qingdao
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2016年 / 36卷 / 06期
关键词：
Dynamic optimal weight; Improved CRITIC method; Risk assessment; Similarity clustering analysis; Smart distribution grid;
D O I：
10.16081/j.issn.1006-6047.2016.06.021
中图分类号：
X9 [安全科学];
学科分类号：
0837 ;
摘要：
A risk assessment model is proposed for the smart distribution grid. A multilevel risk assessment system combining the macroscopic risk and the microcosmic index is built based on the development conditions of smart distribution grid to reflect its critical risk factors during the risk management as comprehensive as possible. Based on the fuzzy hierarchy analytic process, the similarity clustering analysis is applied to consider the influence of expert authorities on the weight distribution for assigning a rational static subjective weight to the assessment system. The improved CRITIC method is applied to fully consider the sequential features of the microcosmic index risk for assigning a corresponding dynamic objective weight to the microcosmic index, which is then combined with the static subjective weight to obtain the dynamic optimal weight. A practical example verifies the better practicability of the proposed model. © 2016, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码：142 / 147
页数：5
相关论文
共 15 条
  • [1] Slimoes M.G., Roche R., Kyriakides E., Et al., Smart-grid technologies and progress in Europe and the USA, Energy Conversion Congress and Exposition, pp. 383-390, (2011)
  • [2] Chang K., Xue F., Yang W., Review on the basic characteristics and its technical process of smart grid in China, Automation of Electric Power Systems, 33, 17, pp. 10-15, (2009)
  • [3] Wang B., He G., Mei S., Et al., Construction method of smart grid's assessment index system, Automation of Electric Power Systems, 35, 23, pp. 1-5, (2011)
  • [4] Zhao S., Zhang D., Yin Y., Risk assessment of smart grid, Power System Technology, 33, 19, pp. 7-10, (2009)
  • [5] Sun Q., Zhang Y., Han D., Et al., Multifactorial and multidimensional risk evaluation of smart grid, Power System Technology, 36, 9, pp. 51-55, (2012)
  • [6] Zeng M., Chen Y., Hu X., Et al., The risk assessment of China's smart grid based on multi-level fuzzy comprehensive evaluation method, East China Electric Power, 39, 4, pp. 535-539, (2011)
  • [7] Habash R.W.Y., Groza V., Krewski D., Et al., A risk assessment framework for the smart grid, Electrical Power & Energy Conference, pp. 1-6, (2013)
  • [8] Wu W., Yang J., Hu W., Et al., Power grid risk assessment system considering characteristics of transmission line failure, Electric Power Automation Equipment, 34, 6, pp. 129-134, (2014)
  • [9] Guo L., Li K., Liang Y., Et al., HV circuit breaker state assessment based on gray-fuzzy comprehensive evaluation, Electric Power Automation Equipment, 34, 11, pp. 161-167, (2014)
  • [10] Tian L., Jin C., Ba C., Application of improved fuzzy AHP to safety evaluation of seawall engineering, Engineering Journal of Wuhan University, 46, 3, pp. 317-327, (2013)
12