A Study on the Assessment of Power System Security Risk based on Grey Clustering and Maximum Entropy Theory

被引：0

作者：

Peng, Peng ^{[1
]}

Mi Chuanmin ^{[1
]}

Liu Sifeng ^{[1
]}

Jing, Tao ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Jiangsu, Peoples R China

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2016年

关键词：

Power system; Grey clustering analysis; Security risks assessment; Case study; COMPOSITE GENERATION;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The requirement of electric power has been increasing greatly, and the scale of the power system is becoming larger and larger, all of which make the complex characteristics of power system more and more obvious. It is extremely urgent to have a scientific and reasonable evaluation of power system security risk. By analyzing the recent series of large-area-blackout incidents, it can be concluded that the traditional methods for security assessment, including the deterministic stability analysis and probabilistic assessment method, have some shortages. This paper put forward a neoteric thought that power system security risk can be evaluated based on the method of grey clustering analysis, and then this paper use maximum entropy theory to calculate the weight. At last, the conclusion indicated that this method used to evaluate the power system security risk is strongly practical.

引用

页码：3002 / 3007

页数：6

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