An Impact Increments-Based State Enumeration Reliability Assessment Approach and Its Application in Transmission Systems

被引:0
|
作者
Hou, Kai [1 ]
Jia, Hongjie [1 ]
Yu, Xiaodan [1 ]
Zhu, Lewei [1 ]
Xu, Xiandong [2 ]
Li, Xue [3 ]
机构
[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin, Peoples R China
[2] Queens Univ Belfast, Belfast, Antrim, North Ireland
[3] Northeast Dianli Univ, Jilin, Jilin, Peoples R China
基金
美国国家科学基金会;
关键词
State enumeration; impact increments; high order contingency; transmission planning; MONTE-CARLO; INDEXES;
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
This paper proposes an impact increments-based state enumeration (ISE) reliability assessment approach, specially designed for transmission systems. Firstly, the reliability index calculation formula of the traditional state enumeration technique is transformed into an impact increments-based formation. With the derived formula, the calculation of state probability is simplified and the weight of low order contingency states is increased. Moreover, it is proved in this paper that impact increments of mutually independent high order contingency states, whose outage components are with remote distances, can be eliminated. Due to this fact, the calculation of impacts of most high order contingencies can be reduced without decreasing the precision of reliability indices. When applied to electrical power transmission systems, load variations can also be considered by replacing impact increments by their expectations under various load levels. Thus, annual reliability indices can be obtained by the proposed method. Case studies are performed on the IEEE-118 bus system and a 1354-bus portion of European transmission system from PEGASE project. Results indicate that annual reliability indices can be efficiently obtained with USE method. Comparing with the traditional state enumeration and Monte Carlo simulation methods, the proposed method is more precise and efficient in various kinds of transmission systems.
引用
收藏
页数:5
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