Imprecise Risk Assessment of Power System

被引：1

作者：

Qi, Xianjun ^{[1
]}

Peng, Xiangtian ^{[1
]}

Huang, Xiangyu ^{[1
]}

机构：

[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Peoples R China

来源：

POWER AND ENERGY SYSTEMS III | 2014年 / 492卷

关键词：

Interval Probability; Power System; Reliability; Imprecise Risk Assessment; FUZZY;

D O I：

10.4028/www.scientific.net/AMM.492.526

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 incomplete probabilistic information can lead to imprecision. The traditional power system risk assessment can only deal with random information, but it cannot deal with the imprecise information. Interval Probability(IP) can reflect both randomness and imprecision. The risk assessment of power system based on IP is an effective method to deal with imprecision and can provide more useful information to the decision-makers. In the paper, the completeness degree of probabilistic information was depicted by IP. The nonlinear optimization models for imprecise risk assessment of generating system and composite generation-transmission system were established. And the genetic algorithm was used to obtain the upper and lower bound of reliability indices. Case study on revised IEEE-RTS79 and IEEE-RBTS system showed the rationality and equity of presented method.

引用

页码：526 / 530

页数：5

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